Ecological State of the Science Report on Decabromodiphenyl Ether (decaBDE): chapter 2


2. Evidence for Bioaccumulation

The evaluation of new lines of evidence conducted in this section relies on the definitions of bioaccumulative and biomagnification summarized in the preceding section. Most importantly, the evaluation of whether these new lines of evidence indicate that decaBDE is bioaccumulative relies primarily on ratio-based methods for bioaccumulation assessment. From the definitions in Section 1.2, it can be argued that the degree of chemical accumulation in an organism is best characterized by a ratio comparing the concentration of the subject substance in an organism to the appropriate exposure concentration in the organism’s environment (i.e., to enable quantification of BCFs, BAFs, BMFs, TMFs or BSAFs).

Other evidence, such as the presence of high concentrations in top predators, is sometimes useful as a supporting line of evidence for ratio-based measures of bioaccumulation. However, it is recognized that the characterization of biota chemical concentrations as “high” is subjective and is based on professional judgement, and thus prone to alternative interpretation.

The evidence provided by studies quantifying chemical residues in tissues is often confounded by various factors. For instance, in many monitoring and field studies, particularly those showing unusually high concentrations in predator organisms, there is a lack of knowledge regarding levels of exposure. In such instances, quantification of the BAF or BMF is impossible. Although a high concentration of a chemical in a top predator could be due to trophic magnification, it could also be due to high geographically localized exposure to a particular chemical, as would be the case if the organism was inhabiting or scavenging from waste dumps. It is also possible that uptake routes other than the food chain can be occurring, such as inhalation, or direct ingestion of plastic. Further, the analysis of decaBDE can be challenging, affected by a number of critical factors that may contribute to the overall accuracy of reported levels in the environmental samples. For instance, de Boer and Wells (2006) note that particular attention is required during sampling and analysis to avoid issues relevant to

In addition, Covaci et al. (2007) describe analytical issues relevant to gas chromatography (GC) set-up affecting the precision of congener determination. They discuss a number of chromatographic interferences that hamper good quality data, particularly in relation to di-, tetra- and hexaBDEs. Apart from using adequate standards, Björkland et al. (2003) also highlighted the need to optimize several other parameters relevant to GC / mass spectrometry (MS), such as ionization energy, moderating gas pressure, ion source temperature and analyzer temperature.

The analysis of decaBDE in environmental samples has apparently improved over the past decade, as demonstrated by a recent inter-laboratory study undertaken to validate and harmonize the analytical methodology (Leonards and Duffek 2008). In total, ten routine laboratories participated in this evaluation of decaBDE in dust and sediment, including nine laboratories from Europe and one from Canada. Overall, the evaluation found acceptable accuracy in results from all laboratories when special attention was focused on quality assurance / quality control (QA/QC) procedures.

The next section summarizes the data respecting decaBDE biota concentrations considered in the PBDE screening assessment report (Canada 2006; Environment Canada 2006b). This summary is followed by an analysis of new data available after 2004 and an interpretation of their significance in relation to bioaccumulation and biomagnification of decaBDE.

2.1 Biota Concentration Data

2.1.1 Information Evaluated in the Screening Assessment

Further details on these studies are provided in Appendix A and in the Supporting Working Document for the Ecological Screening Assessment of Polybrominated Diphenyl Ethers (Environment Canada 2006b).

2.1.2 New Biota Concentration Data

Recently, a large number of studies showing tissue concentrations of decaBDE in various global biota have been published. These studies are discussed below and are interpreted with reference to bioaccumulation and biomagnification as defined in earlier sections of this report.

Voorspoels et al. (2006a) reported decaBDE concentrations in red fox (Vulpes vulpes) from Belgium . Samples of liver (n=30), muscle (n=33) and adipose tissue (n=27) were collected from foxes which were being processed for diagnostic screening of rabies infection. Concentrations of decaBDE, detected in less than half of the samples of each tissue type, ranged from < 9.1 to 760 ng/g lipid for liver, from < 3.9 to 290 ng/g lipid in muscle and from < 3.7 to 200 ng/g lipid for adipose tissue. The authors concluded that these data confirmed “unambiguously” that decaBDE does “bioaccumulate” in red fox. However, in a follow-up paper by Voorspoels et al. (2007), decaBDE was not detected in the prey species of fox--wood mice(Apodemus sylvaticus) and bank voles (Clethrionomys glareolus). Thus, for this food chain, biomagnification was not identified. However, the authors noted that the amount of tissue that was available for analysis was low due to the small size of the rodents and this caused some elevated limits of quantification, ranging from 7.3 to 17 ng/g lipid for BDE209.

Voorspoels et al. (2006b) reported decaBDE concentrations in birds of prey from Belgium which were found dead or severely injured and had to be euthanized. Bird species included the common buzzard (Buteo buteo), sparrowhawk (Accipiter nisus), long-eared owl (Asio otus), barn owl (Tyto alba) and tawny owl (Stryx aluco). Tissues analyzed from each species included brain, fat, liver, muscle and adipose tissue. Levels of decaBDE were detected in nearly all serum samples (2 - 58 ng/g lipid for all species combined) and in some liver samples (below detection limit (BDL)--190 ng/g lipid for all species combined), but not in any other tissues. Based on these findings, the authors concluded that either the exposure to decaBDE was low, or that this congener was poorly accumulated. In the follow-up paper by Voorspoels et al. (2007), decaBDE was not detected in prey species of buzzard (wood mice, Apodemus sylvaticus; and bank voles, Clethrionomys glareolus) or sparrowhawk (great tit, Parus major), meaning that biomagnification could not be assessed.

Jaspers et al. (2006) analyzed liver and muscle samples from seven species of aquatic birds and terrestrial predatory birds from Belgium--grey heron (Ardea cinerea) and great crested grebe (Podiceps cristatus), both aquatic, and common buzzard (Buteo buteo), kestrel (Falco tinnunculus), sparrowhawk (Accipiter nisus), long-eared owl (Asio otus) and barn howl (Tyto alba), all terrestrial. DecaBDE (i.e., BDE209) was detected in one of two muscle samples from barn owl at 68 ng/g lipid and not detected in muscle tissue of any other species (detection limit (DL) = 1 - 2.25 ng/g lipid). DecaBDE (BDE209) was not detected in liver of heron, grebe or buzzard. The range of decaBDE concentrations in liver of the remaining species was 52 - 85 ng/g lipid. However, decaBDE was only detected in a few samples from the terrestrial birds, but not in the aquatic birds. The authors suggested that terrestrial bird species might be more exposed to decaBDE than aquatic species.

Christensen et al. (2005) reported decaBDE residues in muscle and fat from coastal (n=6) and interior (n=6) grizzly bears (Ursus arctos horribilis) in British Columbia, Canada . DecaBDE concentrations (i.e., of BDE209) ranged from approximately 1 to 2.77 mg/kg lipid in coastal bears and from approximately 0.5 to 41.71 mg/kg lipid in interior bears (concentrations read from graph), suggesting a higher exposure to decaBDE for bears feeding in interior environments where diets are predominantly terrestrial in nature. The authors also used a “bioaccumulation slope” method to characterize the observed bioaccumulation of decaBDE in coastal and interior bears. This analysis is evaluated further in Section 2.2.

Verreault et al. (2004, 2005) analyzed decaBDE in two Norwegian arctic top predators, glaucous gull (Larus hyperboreus) and polar bear (Ursus maritimus), inhabiting Svalbard and Bjoroya, Norway . In gull plasma from Svalbard (n=27), decaBDE ranged from < 0.05 to 0.33 ng/g ww while egg concentrations (n=20) ranged from below detection to 170 ng/g lipid. In Bjoroya, gull plasma (n=89) and egg (n=4) concentrations of 410 ng/g lipid and 23 - 53 ng/g lipid, respectively, were determined. In polar bear plasma from Svalbard (n=15), decaBDE was detected in only one sample, at a concentration of 0.1 ng/g ww. The authors claim that decaBDE was “bioaccumulative” to a limited degree. However, this claim was based solely on the occurrence of decaBDE in tissues without an evaluation of whether the concentrations are high relative to the environment or prey.

Vorkamp et al. (2005) reported concentrations of decaBDE in eggs of peregrine falcon (Falco peregrinus) from southwestern Greenland collected from 1986 to 2003. Although decaBDE was detected in all samples (n=37) at concentrations ranging from 3.8 to 250 ng/g lipid, high concentrations were only found in two eggs from 1995 and 2002 and the median concentration was 11 ng/g lipid. The authors noted a significantly increasing temporal trend in decaBDE concentration in the falcon tissues. They also concluded that their results provided evidence of some uptake and bioaccumulation of decaBDE (ruling out the idea of a size threshold for membrane permeation of decaBDE). The authors characterized decaBDE concentrations as low in falcon eggs.

SØrmo et al. (2006) reported analyses of decaBDE in biota from Svalbard, Norway . DecaBDE (BDE209) was not detected in two calanoid copepod species (method detection limit (MDL) = 0.012 - 1.3 ng/g lipid) but was detected at a concentration of 7.22 ng/g lipid in ice amphipod (Gammarus wilkitzkii). The decaBDE concentration in polar cod (Boreogadus saida; n=7) ranged from 0.05 to 0.42 ng/g lipid with a mean of 0.2 ng/g lipid. DecaBDE (i.e., BDE209) was detected in only 1 of 6 samples of ringed seal (Pusa hispida)blubber, at a concentration of 0.02 ng/g lipid (MDL = 0.014 - 0.75 ng/g lipid). Polar bear (Ursus maritimus) adipose tissue (n=4) contained 0.03 - 0.16 ng/g lipid of decaBDE with an average concentration of 0.09 ng/g lipid. DeWit et al. (2006) summarized additional data from Muir et al. (2006) and Skaare (2004) for polar bears in Svalbard. The BDE209 congener (decaBDE) was not detected in the Muir et al. (2006) study (MDL = 1 ng/g lipid) and was 1 ng/g lipid in the Skaare (2004) study.

Chen et al. (2007) reported measurements of decaBDE concentrations in birds of prey from northern China including samples of muscle, liver and kidney from common kestrel (Falco tinnunculus; n=6), sparrowhawk (Accipiter nisus; n=11), Japanese sparrowhawk (Accipiter gularis; n=6), little owl (Athene noctua; n=6), scops owl (Otus sunia; n=6), long-eared owl (Asio otus; n=6), upland buzzard (Buteo hemilasius; n=3) and common buzzard (Buteo buteo; n=3). The common kestrel had the highest mean concentrations of decaBDE in muscle (2150 ng/g lipid), liver (2870 ng/g lipid) and kidney (483 ng/g lipid), followed by scops owl (mean range of 59 - 537 ng/g lipid in muscle, liver and kidney), and sparrowhawk (mean range of 83 - 249 ng/g lipid in muscle, liver and kidney). The concentration of decaBDE in tissues from the other species did not exceed 150 ng/g lipid. The authors concluded that decaBDE was especially elevated compared to other published reports and that this may be related to significant production, usage or disposal of decaBDE-containing products in China . They also suggested that exposure to decaBDE could be higher in terrestrial food chains than in aquatic food chains.

Lam et al. (2007) assessed PBDEs levels in eggs of birds of southern China . The researchers examined eggs (n=5, for each species) of little egret (Egretta garzetta), black-crowned night heron (Nycticorax nycticorax), Chinese pond heron (Ardeola bacchus) and cattle egret (Bubulcus ibi) from Hong Kong, Ziamen and Quanzhou. Levels of decaBDE ranged from < 0.5 (in black-crowned night heron from Quanzhou) to 99 ± 130 ng/g lipid (in Chinese pond heron from Xiamen). The higher abundance of BDE209 in birds from Xiamen appeared to correspond with high production of electronics in Xiamen. Exposure concentrations were not determined in this study.

Johnson-Restropo et al. (2005) reported the findings of a monitoring study of marine fish--teleosts, Atlantic stingray (Dasyatis sabina) and sharks (Rhizoprionodon terraenovae and Carcharhinus leucas)--and dolphins (Tursiops truncatus) of coastal Florida. BDE209 (decaBDE) was not detected (MDL=0.022 ng/g lipid) in muscle samples from silver perch (Bairdiella chrysoura), striped mullet (Mugil cephalus), spotted seatrout (Cynoscion nebulosus) and red drum (Sciaenops ocellatus), and also not detected (MDL=0.022 ng/g lipid) in blubber samples from bottlenose dolphin. The measured concentrations of decaBDE in hardhead catfish (Arius felis) and Atlantic stingray were reported to be 4.5 ng/g lipid and 0.1 ng/g lipid, respectively, while for sharks, the decaBDE concentration ranged from 16.9 ng/g lipid in spiny dogfish (Squalus acanthias) to 778 ng/g lipid in bull shark (Carcharhinus leucas). DecaBDE (i.e., BDE209) was the most abundant congener in sharks, suggesting either that there was preferential exposure to decaBDE or that preferential accumulation of decaBDE was occurring in shark species.

Gauthier et al. (2008) conducted monitoring of bird eggs and reported on temporal trends (1982 - 2006) for PBDEs, and most notably, for BDE209 in pooled samples of herring gull (Larus argentatus) eggs from seven colonies on lakes Superior, Michigan, Huron and Ontario, and on the Detroit and Niagara rivers. BDE209 concentrations in 2006 egg pools ranged from 4.5 to 20 ng/g ww and composed 0.6 - 4.5% of the total PBDE concentrations measured. The authors noted mean doubling times for BDE209 concentrations in eggs of 2.1 - 3.0 years. For octa- and nonaBDEs, the mean doubling time was determined to be 3 - 11 years and 2.4 - 5.3 years, respectively. Based on this rapid increase in concentrations over time, they indicate that the potential for decaBDE to bioaccumulate appears to have been previously underestimated, but they did not quantify exposure concentrations. The researchers also suggested that congener patterns in egg samples suggested meta-position metabolic debromination of BDE209 and -207 to BDE197.

Shaw et al. (2007) reported decaBDE concentrations in blubber of harbour seals (Phoca vitulina concolor) of the northwest Atlantic coast from 1991 to 2005. The BDE209 congener (decaBDE) was detected in 2 of 4 samples at concentrations up to 7.4 ng/g lipid.

DeWit et al. (2006) summarized decaBDE levels in Arctic biota from many additional studies:

Verreault et al. (2007) monitored decaBDE in egg yolk and plasma of male and female glaucous gulls (Larus hyperboreus) from the Norwegian Arctic. DecaBDE (i.e., BDE209) was “virtually non-detectable” in egg yolk and plasma, but the authors speculated that the presence of detectable concentrations of octa- and nonaBDEs in the samples suggested accumulation and subsequent in vivo debromination of decaBDE. Although the detection limit for decaBDE was not reported, detection limits for hepta- to nonaBDEs were reported to be 0.16 ng/g ww and are presumably the same for decaBDE.

Ismail et al. (2009) evaluated concentrations of BDE209 along with other flame retardants in archived Lake Ontario, Canada , lake trout (Salvelinus namaycush) samples collected between 1979 and 2004. Concentrations of BDE209 were consistently detected in lake trout samples throughout the study period and these concentrations ranged from 2.3 to 12 ng/g lipid (0.27 to 1.3 ng/g ww). In contrast to the other PBDE congeners, a large increase (approximately fourfold) in lake trout BDE209 occurred between 1998 and 2004. The study also found a significant increase in BDE209 concentrations between 1979 and 2004, with an overall doubling time of 19 years (p < 0.05).

Guo et al. (2008) conducted an analysis of PBDE concentrations and compositional profiles in tissues of freshwater and marine wild fish, and farmed fish in the Pearl River Delta (PRD) of China . BDE209 was detected in 70 of the total 187 samples, with a range of 0.39 to 59.9 ng/g dry weight (dw), in skin, gills, gastrointestinal tract, liver and muscle samples. However, the authors suggested that this detection frequency was likely underestimated due to the much higher analytical detection limit for BDE209 (10 ng/g) than that for other lower brominated PBDE congeners (0.2 ng/g). The highest and lowest BDE209 ratios (to sum of total analyzed PBDEs) were found in skin and liver, respectively (mean/maximum of 48.0/99.2% in skin and 8.2/83.3% in liver). The highest and lowest BDE209 concentrations occurred in skin and liver, with the median levels of 95.5 and 2.54 ng/g lipid (based on pooled tissue samples of skin, gills, gastrointestinal tract, liver and muscles for all fish), respectively. The authors proposed that this may be attributed to the fact that the liver is a primary tissue for biotransformation of organic compounds and that BDE209 has a low half-life time in fish. Guo et al. (2008) suggested that BDE209 could be accumulated in gills and gastrointestinal tract since the lipid-normalized BDE209 concentrations in gills and gastrointestinal tract from their study were actually slightly higher than those in liver and muscle. The study concluded that BDE209 is accumulative in fish tissues under natural environments, and speculated that BDE209 may bioaccumulate significantly, particularly in biota from areas heavily polluted with decaBDE, such as the Pearl River Delta.

Potter et al. (2009) measured PBDE levels in 23 peregrine falcon (Falco peregrinus) eggs, obtained between 1993 and 2002 from 13 nests covering 11 locations in the Chesapeake Bay region of the United States . The mean BDE209 contribution to total PBDEs measured in egg samples was 5.9% and ranged from 0% for eggs in or near undeveloped land to 18.6% for eggs from a densely populated area. The highest BDE209 burden found in study eggs was 48.2 ng/g ww from an urban highway bridge site. The order of PBDE congener dominance (from most to least dominant) in the peregrine falcon eggs analyzed typically was BDE 153 > BDE 99 > BDE 100 > BDE 154 > BDE 209 > BDE 183 > BDE 197 > BDE 47 > BDE 207. The authors suggested that the source of the higher brominated congener signature in peregrine falcon eggs remains unresolved, and that the answer may relate to the bird’s biotransformation capabilities.

BDE209 was detected in all 114 eggs in a peregrine falcon (Falco peregrinus) egg study in the northeastern United States (Chen et al. 2008). Eggs were collected from 1996 to 2006 (excluding 1997 and 1998). Concentrations ranged from 1.4 to 420 ng/g ww for BDE209. The authors reported that the median concentration of 26 ng/g ww (or 480 ng/g lipid) was much higher than observed in concentrations of European birds (e.g., Greenland peregrine eggs, Belgian buzzards and sparrowhawks), but comparable to those in Chinese kestrels. BDE209 concentrations and their contribution to the total PBDE concentrations were significantly higher in urban than in rural eggs (p < 0.005). In contrast to the other PBDE congeners, BDE209 concentrations were shown to increase significantly (r = 0.348, p < 0.005), with a doubling time of 5 years. In addition to BDE209, eight nona- and octaBDE congeners were frequently detected in this study. Together with BDE209, they constituted 16 - 57% of the total PBDE concentration determined in urban eggs and 4.9 - 53% in rural eggs.

Kunisue et al. (2008) analyzed the spatial trend of PBDE levels and congener patterns in avian species by using stored historical tissue samples taken from open sea, Japanese coastal and inland birds. PBDEs were detected in all the avian pectoral muscle samples analyzed in this study; however, BDE209 was not detected in two of the three open-water bird samples, one of two coastal bird samples, and one of four inland bird samples. Japanese coastal and inland birds accumulated higher PBDE levels than open sea birds. In addition, accumulation of higher brominated congeners such as BDE209 was predominant in the omnivorous species that lived closest to areas inhabited by humans. For example, the mean concentration of BDE209 in jungle crow (Corvus macrorhynchos) samples from 1998 was 440 ng/g lipid. In the jungle crow, BDE153, BDE183 and BDE209 were the predominant congeners, and relatively higher proportions of octa- and nona-BDE congeners were also found compared with other birds.

Additional studies are also described in Section 2.2. These studies contained sufficient information for conducting a ratio-based evaluation of bioaccumulation or biomagnification.

2.1.3 Synthesis of Biota Concentration Data

The detected concentrations of decaBDE in a wide range of biota provide confirmation that this substance can accumulate, at least to some degree, in organisms. However, these data provide little evidence that decaBDE may be bioaccumulative. The main shortcoming is that the data fail to compare the measured concentrations with either those determined in the environment in which the biota reside (e.g., as a BAF or BCF) or the prey that the biota consumes (e.g., as a BMF or TMF).

In the absence of a ratio-based assessment of whether decaBDE is bioaccumulative or biomagnifying, it is still possible to subjectively judge whether the observed concentrations in top predators appear high, indicating potential trophic magnification.

Concentrations of decaBDE have been observed to be relatively high (e.g., exceeding 100 ng/g lipid) in some top predator species, including

Of these, the Greenland peregrine falcon results and the coastal Florida shark results may provide the strongest evidence that trophic magnification might be occurring, given the potential remoteness of the sites of sampling. However, Vorkamp et al. (2005) also note that the peregrine falcon (Falco perigrinus) subspecies of Greenland from which samples were taken migrates to Central and South America in the winter, following a route along the Atlantic coast of North America. As a result, there is a potential that the organisms were exposed to locationally specific contaminated environments that may explain their relatively high loading of decaBDE. Although high decaBDE concentrations are observed in Florida sharks, similarly high concentrations are not observed in teleost fish species from the same ecosystem, which would likely make up the prey species for shark. While trophic magnification is a potential explanation for this difference, it is also possible that the sharks are consuming contaminated refuse.

For the remaining results, several factors tend to confound the findings with respect to whether decaBDE is bioaccumulative. These include

While there are some high BDE209 concentrations in some biota, overall the data from surveillance studies directly contradict a generalized conclusion that the concentration of decaBDE is relatively high in top predators. The surveillance data show

Generally speaking, it appears that the higher concentrations of decaBDE in biota are anomalies when the broader dataset of decaBDE concentrations is considered. Thus, the evidence based on concentrations in top predators fails to provide a strong indication that decaBDE is bioaccumulative or biomagnifying in food webs.

2.2 Bioconcentration, Bioaccumulation and Biomagnification Data

This section first summarizes the data respecting decaBDE bioaccumulation considered in the PBDE screening assessment report (Environment Canada 2006a; Environment Canada 2006b), then examines new data available after 2004 and its significance.

2.2.1 Information Evaluated in the Screening Assessment

The bioaccumulation data from these studies are also summarized in Appendix B. Additional studies were also reviewed in the screening assessment but their findings did not allow estimates of bioaccumulation parameters. Rather, they are more relevant to the evaluation of metabolite formation, and are discussed in Section 3.

2.2.2 New Bioaccumulation Data

The bioaccumulation data from studies published after 2004 are discussed in this section and summarized in Appendix B.

Studies on Aquatic Species

Stapleton et al. (2006) exposed 45 juvenile rainbow trout (Oncorhynchus mykiss) to spiked food containing decaBDE (purity reported as 98.7%, no further characterization of test material for impurities was undertaken) for a period of 5 months. The 45 fish were randomly distributed to three experimental tanks while an additional 15 fish that were fed non-spiked food were kept in a separate tank. The concentration of decaBDE in the spiked food was 940 ng/g and the fish (average weight 91.2 g) were fed at a rate of 1% of their body weight per day. One fish from each tank was sacrificed for analysis at 9 time points throughout the 5-month exposure period. Blood was sampled from individual fish at the initiation of exposure and at three time points during the final 3 months of the study. Samples of blood serum, intestine, liver and carcass at each sampling time were each analyzed for decaBDE and lower brominated BDE congeners.

The net uptake of decaBDE during the experiment was estimated at 3.2% based on the total burden of hepta- through decaBDE congeners present in the carcass, or 3.7% if the liver was included in the calculation. The decaBDE concentration on the final day of exposure was highest in the liver (342 ng/g ww) followed by the intestine (~60 ng/g ww, read from graph), serum (26 - 40 ng/g ww) and carcass (5.3 ng/g ww). The detection limit in this study was 1 ng/g ww. Several hepta-, octa- and nonaBDE congeners were also accumulated, potentially, as a result of decaBDE debromination (fish were dosed only with decaBDE, and background decaBDE concentrations in the control fish ranged from < 0.5 ng/g to 0.5 ng/g). These debromination results are discussed further in Section 3.1.

Using concentration data from day 112, the reported lipid content of the test fish, and the known decaBDE concentration/lipid content in food reported by Stapleton et al. (2006), it is possible to estimate BMFs for decaBDE on its own and for the combined burden of decaBDE plus debrominated congeners. Table 2-1 summarizes the calculations.

Table 2-1: BMFs Estimated from the DecaBDE Rainbow Trout Feeding Study by Stapleton et al. (2006; and Personal Communication from HM Stapleton to Environment Canada , January 2008; Unreferenced)

  FoodFootnote a CarcassFootnote a SerumFootnote a LiverFootnote a
DecaBDE concentration (ng/g lipid) 9307 204 3300Footnote b 11 958
Fraction of decaBDE in total BDE burden n/a 0.25 0.68 0.92
Total BDE concentration (ng/g lipid)Footnote c n/a 831.3 4853 16 163
DecaBDE BMF n/a 0.02 0.35 1.28
Total BDE BMF n/a 0.09 0.52 1.74

 

It is expected that the higher lipid content in food (10.1% lipid) compared with carcass and liver (4.5% and 2.3%, respectively) may cause the ww BMFs to underestimate the bioaccumulation potential of decaBDE, and as a result, lipid-weight BMFs were calculated. For decaBDE on its own, the BMFs ranged from 0.02 (carcass) to 1.28 (liver) whereas for the total BDE burden, the BMFs ranged from 0.09 to 1.74.

Based on the findings of other studies (refer to Section 3), it is possible that decaBDE could be transformed to other transformation products not analyzed in this study. The Stapleton et al. (2006) study did not include these potential products as analytes. If they are formed in rainbow trout, then the reported net uptake of neutral BDEs only would underestimate the actual total uptake of decaBDE. If metabolites other than hepta-, octa-, and nonaBDEs were being formed and persisting in the fish, then the BMFs calculated above would underestimate the total accumulation potential of decaBDE-related compounds.

Tomy et al. (2004) studied the uptake by juvenile lake trout (Salvelinus namaycush) of twelve tetra- to heptaBDEs (Wellington Laboratories, all purities > 96%) plus DecaBDE (technical grade, Great Lakes Chemical Corp., purity not provided) from spiked commercial fish food. Test fish were exposed to spiked food for 56 d followed by a 112-d elimination period. Seventy fish each were exposed to low and high concentrations (measured in food) of technical-grade DecaBDE, and a non-exposed control group was also monitored (concentrations measured in food). Significant uptake of decaBDE was observed for both the low- and high-exposure treatments. For the low-exposure treatment, depuration of chemical during the elimination phase was non-detectable (slope not significant) and the absorption efficiency, half-life and BMF were not estimated. For the high-exposure treatment, the absorption efficiency was estimated at 5.2% (Tomy et al. 2004; and personal communication from G Tomy to Environment Canada, July 2009, unreferenced) with a half-life of 26 ± 5 d and a BMFFootnote 1 of 0.3. Although lower brominated PBDE congeners appeared to be bioformed in the fish, it was not possible to include the debrominated congeners in the BMF estimates because similar congeners were also present in the spiked food or potentially present as impurities in the technical-grade DecaBDE used in the study. In addition, the study contained other uncertainties such as the use of fiberglass aquaria which may have resulted in some adsorption of test material.

Ciparis and Hale (2005) examined the bioavailability and accumulation of multiple PBDEs, including decaBDE, from sediments and biosolids to the aquatic oligochaete, Lumbriculus variegatus. Oligochaetes were exposed to either composted biosolids containing 1600 ng/g total PBDEs or artificial sediments spiked with technical Penta- and DecaBDE formulations (1300 ng/g total PBDEs). The experimental protocol included a 28-d uptake phase followed by a 21-d elimination phase. Following solvent extraction, clean-up in a size exclusion column, and further purification using solid-phase extraction columns, decaBDE was quantified from substrates and tissues on a gas chromatography (GC) device equipped with a halogen-selective electrolytic conductivity detector with MDLs of 190 ng/g and 20 ng/g for tissues and substrates, respectively. Although significant accumulation of lower brominated PBDEs (especially BDE47 and BDE99) was observed with both biosolids and spiked sediments, uptake of decaBDE was minimal and it was not possible to estimate steady-state sediment BSAFs or kinetic parameters for decaBDE accumulation. The authors speculated that the bioavailability of decaBDE was limited by its high log Kow (suggesting that desorption from sediment particles is minimal) and large molecular size, which may impede its transport across cell membranes.

Burreau et al. (2004, 2006) reported the results for three separate food web monitoring programs for PCBs and PBDEs. Burreau et al. (2004) sampled perch (Perca fluviatilis; n=120, 33 individuals), roach (Rutilus rutilus; n=23, 8 individuals) and pike (Esox lucius; n=51, 25 individuals) in the Lumparn estuary in the åland archipelago in the Baltic Sea and analyzed muscle tissue composites from each species.Footnote 2 Burreau et al. (2006) described monitoring studies for the Baltic Sea and the Atlantic Ocean (south of Iceland ). The Baltic Sea study was conducted in 1998 and sampled zooplankton (Calanoid crustacea; n=3 net tows), sprat (Sprattus sprattus; n=6), herring (Clupea harengus; n=5) and Atlantic salmon (Salmo salar; n=10), while the Atlantic Ocean study was conducted in 1999 and sampled zooplankton (Calanoid sp.; n=10), small herring (Clupea harengus; n=6), large herring (Clupea harengus; n=10) and Atlantic salmon (n=10). The detection limits ranged from 140 to 148 pg/g. Analytical detection limits ranged from 14 to 14.8 pg/g ww. Determinations of decaBDE were blank-corrected. Table 2-2 provides a summary of median observed concentrations in the Baltic Sea and North Atlantic Ocean biota samples.

Table 2-2: Summary of Observed Concentrations of DecaBDE in Freshwater and Marine Biota from the Lumparn Estuary, Baltic Sea and North Atlantic Ocean (Burreau et al. 2004, 2006)

Location Species Median
concentration
(ng/g lipid)
Number of samples
with decaBDE
detected / Number
of samples analyzed
Lumparn Estuary Roach
Rutilus rutilus
48 3/8
Lumparn Estuary Perch
Perca fluviatilis
1.3 12/33
Lumparn Estuary Pike
Esox lucius
1.7 4/25
Baltic Sea Zooplankton
Calanoid sp.
2.1 3/3
Baltic Sea Sprat
Sprattus sprattus
0.082 3/6
Baltic Sea Herring
Clupea harengus
0.24 4/5
Baltic Sea Atlantic salmon
Salmo salar
0.41 3/10
North Atlantic Ocean small herring
Clupea harengus
0.31 6/6
North Atlantic Ocean large herring
Clupea harengus
0.039 3/6
North Atlantic Ocean Atlantic salmon
Salmo salar
not detected 0/10

To examine the potential for food web biomagnification of decaBDE in the biota data for each Baltic Sea food web (roach-perch-pike; zooplankton-sprat-herring-salmon), the authors conducted an analysis of trophic magnification. This involved a regression of lipid-normalized concentration vs. d15N according to the following model:

C = A•e(B•d15N)

Where C is the biota concentration (lipid-normalized), A is a constant representing d15N at the base of the food chain and B represents the “biomagnification power” of the substance. A positive B-value indicates biomagnification while a negative B-value indicates trophic dilution of chemical concentrations. B is similar to a TMF except that a TMF is expressed on an arithmetic, rather than logarithmic basis, and the TMF is based on a regression with trophic level (estimated from d15N) rather than the d15N content itself. The B-values for both food webs were not significantly different from zero, indicating that biomagnification of decaBDE did not appear to be occurring in these food webs. Failure to detect decaBDE in salmon from the Atlantic Ocean precluded a similar analysis for this food web.

Using the reported concentration data, it is also possible to estimate lipid-normalized BMFs for specific predator-prey combinations; these are summarized in Table 2-3. BMFs range from 0.03 to 5, depending on the predator-prey combination, suggesting that biomagnification was taking place in some predator-prey combinations. However, it is important to consider that the exact feeding relationships for these food webs are unknown, resulting in considerable uncertainty in these BMF estimates.

Table 2-3: Estimated BMFs for DecaBDE in Sampled Biota from Lumparn Estuary, Baltic Sea and Atlantic Ocean Pelagic Food Webs Reported by Burreau et al. (2004, 2006)

Location Predator/Prey BMF (lipid-normalized)
Lumparn Estuary perch/roach
Perca fluviatilis / Rutilus rutilus
0.03
Lumparn Estuary pike/roach
Esox lucius/Rutilus rutilus
0.04
Lumparn Estuary pike/perch
Esox lucius / Perca fluviatilis
1.31
Baltic Sea sprat/zooplankton
Sprattus sprattus / Calanoid crustacea
0.04
Baltic Sea herring/sprat
Clupea harengus / Sprattus sprattus
2.93
Baltic Sea herring/zooplankton
Clupea harengus / Calanoid sp.
0.11
Baltic Sea salmon/sprat
Salmo salar / Sprattus sprattus
5.00
Baltic Sea salmon/herring
Salmo salar /Clupea harengus
1.71
Atlantic Ocean large herring/small herring
Clupea harengus / Clupea harengus
0.13

In evaluating the Burreau et al. (2004, 2006) studies, the United Kingdom (2007a) cautions that the relatively high levels of decaBDE in procedural blanks and low concentrations of decaBDE in biota samples create uncertainty in the overall biomagnification analysis. Currently, this appears to be a common issue with field studies of decaBDE in biota.

Shaw et al. (2009) studied the bioaccumulation of PBDEs in northwest Atlantic marine food webs. To evaluate the transfer of PBDEs from prey to predator, the study compared PBDEs measured previously in harbour seal blubber with whole fish samples of seven species of fishes comprising the major prey of harbour seals (Phoca vitulina concolor). Eighty-seven individual fish (> 35 cm) were collected off the coast of Maine during the May - June 2006 Gulf of Maine Trawl Survey of commercial groundfish stocks. Species included silver hake (Merluccius bilinearis, n=10), white hake (Urophycis tenuis, n=17), Atlantic herring (Clupea harengus, n=20), American plaice (Hippoglossides platessoides, n=10), alewife (Alosa pseudoharengus, n=10), and winter flounder (Pseudopleuronectes americanus, n=10). Atlantic mackerel (Scomber scombrus, n=10) were caught by hook and line from the same area during June 2006. Whole fish were transported to the laboratory on ice where standard length and weight were recorded, then frozen and stored at -40 °C prior to shipment to the analytical laboratory. Fish whole-body samples were pooled and homogenized into 17 composites prior to analysis. For extraction, the fish sample (~1.5 g of lipids, between 5 and 100 g tissue) was homogenized and mixed with sodium sulphate. After addition of the internal PBDE standards, a mixture of cyclohexane and dichloromethane was applied to the column for extraction of PBDEs along with other lipophilic compounds and fat. The extract was washed, dried, and after solvent evaporation, gravimetric lipid determination was performed. The final extract was evaporated by a stream of nitrogen to a final volume of 50 µL containing C13 labelled BDE139 as recovery standard. The measurements were performed by high-resolution gas chromatography / high resolution mass spectrometry (HRGC/HRMS).

Total PBDE concentrations in fish ranged from 18.3 to 81.5 ng/g, lipid (overall mean 62 ± 34 ng/g, lipid), compared with total PBDE concentrations in harbour seal samples of 80 to 25 720 ng/g lipid (overall mean 2403 ± 5406 ng/g, lipid--analyzed for earlier study). BDE209 was detected in 35% of the fish samples and in 25% of the harbour seal blubber samples. BDE209 concentrations ranged from non-detect (0.2 ng/g lipid) to 4 ng/g lipid in fish, and from 1.1 to 7.6 ng/g lipid in seal blubber (mean value=1.2 ng/g, lipid). The similarity between fish and seal BDE209 concentrations was in contrast to the total PBDE concentrations, which were two orders of magnitude higher in the harbour seals than in fish. For BDE209, BMFs from fish to seals ranged from 0.67 (American plaice) to 0.75 (Atlantic mackerel) to 1.3 (white hake), which the authors suggested represented low biomagnifications potential. This contrasted with BMFs for the other PBDEs, which averaged from 17 to 76.5, indicating high biomagnification in this marine food web. The authors suggested that the presence of higher brominated congeners, including BDE209, at measurable levels in fish and seal tissue, along with high biomagnification of BDE153, -155, and -154, suggests recent exposure to the octa- and decaBDE formulations in this U.S. coastal marine food web.

Law et al. (2006) conducted a field study of the trophic magnification of decaBDE in a pelagic food web of Lake Winnipeg. Samples of fish, plankton, mussels, sediment and water were collected from the south basin of the lake near Gimli, Manitoba. Muscle tissue from multiple fish species were collected between 2000 and 2002, including walleye (Stizostedion vitreum; n=5), whitefish (Coregonus clupeaformis; n=5), emerald shiner (Notropis atherinoides; n=5), burbot (Lota lota; n=5), white sucker Catostomus commersoni; n=5) and goldeye (Hiodon alosoides; n=3). Samples of net plankton (n=5; zooplankton and phytoplankton combined) were collected using horizontal tows with 160-µm nets (precise date not indicated in article). Mussels (Lampsilis radiata; n=5, muscle tissue retained for analysis) were collected by divers in 2002. Sediment grab samples were collected at 4 locations with only the surficial 2 cm of sediment retained. Water was sampled in 2004 using a Teflon column packed with XAD-2 absorbent. Each XAD-2 column was used to sample six 54-L samples from 324 L of water collected. Samples were pulled through an inline glass-fibre filter (1-µm pore size) and then onto a XAD-2 column.

All samples were analyzed for decaBDE (and several other chemicals) using GC/MS, with additional analyses of organic carbon (OC) for sediments and lipid and d15N for biota. The d15N measurements were used to estimate trophic position. The detection limit of the analytical method used was 0.1 µg/kg for biota and sediment samples, and 15 pg/L for water. The decaBDE concentration, lipid and OC contents, and estimated trophic level of biota are summarized in Table 2-4.

Using the trophic levels estimated from d15N data, the rank order of the trophic levels in the pelagic food web was estimated to be mussel Þ zooplankton, whitefish Þ goldeye, white sucker Þ burbot, walleye (top predators). A regression of the lipid-normalized concentration of decaBDE vs. trophic level was used to estimate a TMF of 3.6 Footnote 3 (r2=0.46 p=0.0001) for decaBDE in the pelagic food web. Predator-prey BMFs (on a lipid-normalized basis) were also calculated using the biota dataset. The estimated BMFs for decaBDE ranged from 0.1 to 34, depending on the predator-prey combination.

While estimated TMFs and BMFs are intended to provide a real-world indication of trophic magnification and biomagnification of decaBDE in an aquatic food web, it is important to consider some of the uncertainties associated with this study.

Many of the concentrations of decaBDE in the Law et al. (2007) study were near the detection limit, increasing uncertainty in these determinations and raising the possibility of false positives. In addition, biomagnification was identified using lipid-normalized data; however, certain tissues were characterized by very low lipid concentrations (e.g., walleye, burbot and mussel muscle). Such low lipid contents result in extremely uncertain concentrations expressed on a lipid weight basis. When biomagnification is evaluated in this study on the basis of ww concentrations, biomagnification is not shown to occur.

There is further uncertainty respecting the appropriateness of lipid-normalization for decaBDE. This substance has been suggested to bind protein in some situations, although based on chemical structure, protein binding is not expected. It is possible that decaBDE is subject to non-specific binding in blood plasma (i.e., lipids) (e.g., Han et al. 2007). As a result of this binding, preferential accumulation in liver could occur, but this has not been established definitively.

Table 2-4: Analytical Results from Law et al. (2006) for DecaBDE, Lipid Content, Organic Carbon Content and d15N in Water, Sediments and Biota from Lake Winnipeg

Sample d15N Trophic
position
Mean lipidFootnote a.1
or
organic carbonFootnote b.1
content
Average decaBDE
concentration
(ng/g lipidFootnote a.1; ng/g
dry weight (dw)Footnote b.1
or pg/LFootnote c.1)
Water (dissolved phase) n/a n/a n/a <15 pg/L
Sediment n/a n/a 2% 0.63
Walleye (Stizostedion vitreum) muscle 17.8 2.4 1.15% 24.7
Whitefish (Coregonus clupeaformis) muscle 12.0 0.8 8.78% 3.6
Mussel (Lampsilis radiata) muscle 9.5 - 0.32% 50.8
Zooplankton (Calanoid sp.) 9.7 1.00 13.67% 1.2
Emerald shiner (Notropis atherinoides) muscle 16.0 1.9 3.18% 40.3
Goldeye (Hiodon alosoides) muscle 16.1 1.95 2.34% 41.6
White sucker (Catostomus commersoni) muscle 15.2 1.7 2.27% 12.0
Burbot (Lota lota) muscle 16.6 2.2 0.33% 98.7

n/a - not applicable

 

The United Kingdom (2007a) also highlighted the following issues regarding the Law et al. (2006) study:

In a study of eastern Canadian Arctic marine food webs, Tomy et al. (2008) examined the extent of trophic transfer of seven PBDE congeners, including BDE209. PBDEs were analyzed in the blubber of the beluga whale (Delphinapterus leucas, n=5), narwhal (Monodon monoceros, n=5) and walrus (Odobenus rosmarus, n=5). Whole-organism homogenates of Arctic cod (Boreogadus saida, n=8), shrimp (Pandalus borealis and Hymenodora glacialis, n=5), clams (Mya truncate and Serripes groenlandica, n=5), deepwater redfish (Sebastes mentella, n=5) and mixed zooplankton (n=5) were analyzed. Samples were collected in various parts of the Canadian eastern Arctic between 1996 and 2002, and archived. Marine mammal blubber was extracted using a ball mill shaker with anhydrous sodium sulphate and hexane:dichloromethane (DCM). Each cell was spiked with recovery internal standards, then shaken and left to stand 2 - 4 h before centrifuging, then decanted. The extraction was repeated twice, combining the decanted extracts. Fish, shrimp and clam tissues were homogenized with dry ice in a laboratory blender, then stored overnight in a - 20 °C freezer to allow for sublimation of the CO2. Thawed tissue was weighed and mixed with pelleted diatomaceous earth (Hydromatrix) then added to a cell along with the recovery internal standards RIS and extracted using an accelerated solvent extractor (ASE 300). Zooplankton samples were weighed frozen and homogenized by directly mixing with Hydromatrix prior to accelerated solvent extraction. Void space was filled with sand. After extraction, anhydrous sodium sulphate was added to the collection bottles to remove water. Extracts were reduced in volume and filtered. Lipid content was determined gravimetrically in an aliquot of extract, while lipid was removed from the remainder of the extract by gel permeation chromatography. After volume reduction, samples were further cleaned using Florisil according to Law et al. (2006). The BDE fraction was reduced in volume to 200 µL and instrument performance internal standards (10 µL of 2 ng/µL aldrin) were added. PBDEs in tissue samples were analyzed by gas chromatography electron capture negative ion mass spectrometry (GC-ECNIMS). PBDEs were detected in selected ion monitoring (SIM) mode using the [Br]- ions (m/z 79, 81) and an external standard solution containing the BDE-mix (36 BDE congeners) and BDE-209 for quantification. Procedural and instrument blanks were used, and all PBDE samples were blank-corrected. The relative trophic level of the organisms was determined by stable isotopes (d15N), analyzed at the University of Georgia. BMF was determined as the trophic level adjusted ratio of the concentration in the predator tissue to that of the concentration in the prey tissue.

The total concentration of the seven congeners analyzed ranged from 0.4 ng/g lipid in walrus to 72.9 ng/g lipid in zooplankton. BDE209 mean concentrations ranged from non-detect (walrus, beluga and narwhal) to 18.7 lipid ng/g (zooplankton). BDE209 was found to contribute significantly to the body burden of total PBDEs in the lower trophic level organisms: 60% in redfish and 75% in arctic cod, for example. Conversely, in the upper trophic level organisms like beluga and narwhal, BDE209 accounted for less than 2% of the total BDE burden, whereas BDE47 accounts for over 40% in these samples. The authors suggested that elevated BDE209 levels in lower trophic level organisms may reflect greater exposure to this compound through zooplankton, and limited metabolic capabilities with respect to BDE209. BDE209 lipid-adjusted BMFs for individual predator - prey relationships were as follows: beluga (blubber):cod (whole body) < 1; beluga (blubber):redfish (whole body) < 1; and cod (whole body):zooplankton (whole body) < 1. BMFs were not calculated for narwhal:redfish and narwhal:cod. A statistically significant TMF of 0.3 was estimated for BDE209 (p=0.002; correlation coefficient R2 =0.25). The authors concluded that BDE209 concentrations decreased with trophic level, suggesting metabolic depletion of this congener or reduced assimilation up the food web. The authors suggested that these results are consistent with other studies that have shown that BDE209 is not an abundant congener in higher trophic level organisms. The authors speculated that this could be due to an enhanced BDE209 metabolic capability among higher trophic level organisms.

In a follow-up to their eastern Canadian Arctic food web study, Tomy et al. (2009) conducted a study of western Canadian Arctic marine food webs to examine the trophodynamics of PBDEs. PBDEs were measured in beluga whale (Delphinapterus leucas), ringed seal (Phoca hispida), Arctic cod (Boreogadus saida), Pacific herring (Clupea pallasi), Arctic cisco (Coregonus autumnalis), pelagic amphipod (Themisto libellula) and Arctic copepod (Calanus hyperboreus). The animals selected were from the sample archived repository at Fisheries and Oceans Canada. The brominated compounds were measured in the blubber of ringed seal and beluga, in the whole organism minus liver for the pelagic fish, and pooled composites for the invertebrates. Extraction methods were as per Tomy et al. (2008) (see above study). PBDEs were analyzed by high-resolution GC-ECNIMS. BDE209 was quantified by isotope dilution using 13C12-BDE-209 and the m/z values of 486.6/488.6 and 494.6/496.6 for quantification and confirmation for the native and isotope internal standard, respectively. Stable isotopes of nitrogen, expressed as d15N, were analyzed at the stable isotope laboratory at the University of Winnipeg ( Manitoba, Canada ). BMFs were determined as per Tomy et al. (2008) (see above study).

The relative trophic level status of the studied individual organisms was established using stable isotopes of d15N. This analysis indicated the following food web: beluga whale > ringed seal > Arctic cod > Pacific herring and Arctic cisco > pelagic amphipod > Arctic copepod. The total concentration of the seven congeners analyzed (BDE47, -85, -99, -100, -153, -154 and -209) ranged from 2.6 ng/g lipid in ringed seals to 205.4 ng/g lipid in Arctic cod. The median concentrations of BDE209 ranged from 0.04 ng/g lipid in the calanus (arctic copepod) to 7.23 ng/g lipid in Arctic cisco. The rank order of median BDE209 concentrations was: cisco > Arctic cod > herring > beluga and ringed seal > themisto > calanus. The researchers calculated lipid-normalized BMFs for BDE209 as follows: ringed seal (blubber):cod (liver) = 0.3; beluga (blubber):cod (liver) = 0.3; beluga (blubber):herring (liver) = 0.9; beluga (blubber):cisco (liver) = 0.03; cod (liver):calanus (whole body) = 12.7; cod (liver):themisto (whole body) = 4.8. The results suggested that depletion of BDE209 is taking place in the higher trophic level animals but that biomagnification may be occurring in the lower trophic level species. Although biomagnification was apparent in the lower food chain, there is some uncertainty in the results. For instance, it appears that the organisms included in the study were collected at different times and locations. None of the PBDEs showed a statistically significant positive relationship with trophic level, and no statistically significant TMF was found for BDE209.

Wu et al. (2009) evaluated the biomagnification of PBDEs, including BDE209, in a highly contaminated freshwater food web from southern China . Wild aquatic species representing different trophic levels were sampled in 2006 from a reservoir surrounded by several e-waste recycling workshops. Two top predator species, water snake (Enhydris chinensis) and northern snakehead (Channa argus), and their prey, mud carp (Cirrhinus molitorella), common carp (Cyprins carpio), crucian carp (Carassius auratus), and prawn (Macrobrachium nipponense), were sampled. Chinese mysterysnail (Cipangopaludina chinensi) was also collected by hand from the shallow water around the reservoir. Samples of small organisms (e.g., Chinese mysterysnail, prawn and mud carp) were pooled. The body weight and length of samples were measured, then stored at -20 °C until further treatment. For chemical analysis, samples were thawed and whole-body homogenized, after which two sub-samples were taken from each specimen: one for PBDEs determination, and one for nitrogen stable isotope analysis. Samples were ground with ashed anhydrous sodium sulphate, spiked with surrogate standards, and extracted with hexane/acetone (1/1, v/v) for 48 hours. Lipids (gravimetrical method) were determined on an aliquot of the extract. PBDEs were analyzed by GC/MS ECNI mode and operated in SIM mode. Recoveries of the spiking blanks ranged from 76.9 to 105.2% for PBDEs. Relative standard deviations (RSD) of sample triplicates were less than 24% for BDE209. Stable isotopes of nitrogen, expressed as d15N, were analyzed by a flash EA 112 series elemental analyzer interfaced with a Finigan MAF ConFlo 111 isotope ratio mass spectrometer.

TMFs were determined as per Tomy et al. (2004) using lipid-normalized concentrations and the trophic levels of the food web components. The TMF values ranged from 0.26 to 4.47 for PBDEs. For BDE209, the TMF was 0.26, suggesting trophic dilution, although the result was only marginally statistically significant at p=0.053. The authors suggest that different PBDE levels in the organisms, different environmental conditions (e.g., warmer water temperature), and the different food web composition could be a factor when comparing the lower TMF results of this study to northern food web studies. No significant correlation between TMFs and log Kow was found for PBDEs, and the authors suggested that other factors (e.g., metabolism) might play a more important role in PBDEs transfer in the food web.

Yu et al. (2009) analyzed concentrations of 10 PBDE congeners in a Pearl River Estuary food web of the Pearl River Delta region of southern China, to understand the accumulation behaviour of these substances. Two hundred and fifty-four biota samples (four species of invertebrates and ten species of fish) were collected from the Pearl River Estuary between 2005 and 2007. These species included sand swimming crab (Ovalipes punctatus, Samoan crab (Scylla serrata), ark shell (Tegillarca granosa), oncomelania (Oncomelania hupensischiui), common mullet (Mugil cephalus), red eelgoby (Odontamblyopus rubicundus), robust tonguefish (Cynoglossus robustus), slimy spinefoot (Siganus canaliculatus), silver sillago (Sillago sihama), pompano (Psenopsis anomala), Japanese eel (Anguilla japonica), flatheadfish (Platycephalus indicus), large yellow croaker (Pseudosiaena crocea), and Bombay duck (Harpodon nehereus). One hundred and twenty-four individual or composite samples were analyzed for PBDEs. Samples were homogenized, extracted and analyzed by GC/MS ECNI and operated in SIM mode. The concentrations of PBDEs in organisms varied from 6.2 to 208 ng/g lipid weight. However, BDE209 was detected in only 18% of samples, ranging from non-detect to 1.6 ng/g lipid. Because of its low presence, BDE209 was excluded from further analysis of the report and no TMF was calculated for this congener.

In a study of in vivo and environmental debromination of decaBDE, La Guardia et al. (2007) monitored decaBDE concentrations in sediments and aquatic organisms in the receiving environment of a wastewater treatment plant (WWTP) located in Roxboro, North Carolina. All samples were extracted and purified using size-exclusion chromatography and then analyzed for PBDEs using GC/MS in electron capture negative ionization (ECNI) mode and electron ionization (EI) mode. Further study details are provided in Sections 3.1.2 and 3.2.1. In samples collected in 2002, decaBDE was detected in both sediments and tissues of sunfish (Lepomis gibbosus) and crayfish (Cambarus puncticambarus sp. c) collected immediately downstream of the WWTP outfall. The reported 2002 concentrations from this location in sediments, sunfish and crayfish were 1 630 000 mg/kg organic carbon (OC), 2880 mg/kg lipid and 21 600 mg/kg lipid, respectively. The much higher concentration in crayfish was attributed to the sediment-association of this species and the authors speculated that crayfish could form a link for the transfer of decaBDE from sediments to pelagic organisms.

Based on the La Guardia et al. (2007) results, it is possible to estimate sediment BSAFs of 0.0018 for sunfish and 0.013 for crayfish. These are well below values suggested to potentially indicate biomagnification (i.e., ~1.7 to 3; refer to Section 1.2). It is possible that a combination of low sediment bioavailability and/or metabolic transformation could be limiting the bioaccumulation and biomagnification of decaBDE in this system.

Wang et al. (2007) examined water, sediment and aquatic species collected from a small lake in Beijing, China , which receives effluent discharged from a large WWTP. Samples were homogenized, extracted and analyzed using HRGC/HRMS using EI ion source. The researchers found that average accumulations of 12 PBDEs (total, tri- to heptaBDEs) and BDE209 were 6.33 and 237.01 mg/kg dw in sediments. BDE209 concentrations in lake water and effluent were below the analytical detection limit (not given for water; 1 mg/kg (ww or dw unknown) for sediment and biota). High concentrations of BDE209 were determined for lichen (1572 mg/kg dw), march brown (Limnodrilus hoffmeisteri; 11.37 mg/kg dw), coccid (114 mg/kg dw) and the zooplankton Monia rectirostris, Monia micrur and Monia macrocopa (151.9 mg/kg dw). Average concentrations in common carp (Cyprinus carpio), Java tilapia (Tilapia nilotica), leather catfish (Silurus meridionalis), crusian carp (Carassius auratus) and Chinese softshell turtle (Chinemys reevesii) were much lower, ranging from below detection to 19.32 mg/kg dw. Bioconcentration/bioaccumulation for BDE209 was not identified. In addition, the authors found no obvious biomagnification of PBDEs when they analyzed the relationship between PBDE concentrations and organism trophic level.

Xiang et al. (2007) sampled biota and sediment samples for PBDEs, including BDE209, from the Pearl River Estuary of China. In sediments they found that BDE209 was the dominant congener, ranging from 792 to 4137 ng/g OC in sediment samples (median 1372 ng/g OC). With respect to biota, they found non-detectable and measurable BDE209 concentrations in all biota species. Concentrations ranged up to 532.3 ng/g lipid in large yellow croaker (Pseudosiaena crocea; n=13, median=117.4 ng/g lipid), 623.5 ng/g lipid in silvery pomfret (Platycephalus argenteus; n=10, median=24.4 ng/g lipid), 38.4 ng/g lipid in flathead fish (Platycephalus indicus; n=17, median=0.0 ng/g lipid), 373.4 ng/g lipid in robust tongue fish (Cynoglossus robustus; n=8, median=0.0 ng/g lipid), 150.4 ng/g lipid in Bombay duck (Harpodon nehereus; n=9, median=0.0 ng/g lipid), 555.5 ng/g lipid in jinga shrimp (Metapenaeus affinis; n=10, median=0.0 ng/g lipid), 405.3 ng/g lipid in greasy-back shrimp (Metapenaeus crocea; n=10, median=30.3 ng/g lipid), and 88.5 ng/g lipid in mantis shrimp (Oratosquilla oratoria; n=9, median=42.47 ng/g lipid). The study notes that the high BDE209 concentrations in biota apparently resulted from elevated concentrations of BDE209 in local sediments. However, sediment BSAFs were calculated to range from 0 to 0.04 for BDE209 and trophic magnification was not deemed to be occurring based on the data shown in this study.

Eljarrat et al. (2007) reported the results of fish (n=29), sediment (n=6) and effluent (n=3) sampling conducted in November 2005 from the River Vero in Spain . They found high BDE209 concentrations in sediments (up to 12 459 ng/g dw) and fish--barbel (Barbus graellsii) and carp (Cyprinus carpio), from non-detectable to 707 ng/g lipid--downstream of an industrial park containing industries producing textiles and epoxy resins and involved with polymide polymerization. Using concentration measured in sediments and fish, the authors calculated sediment BSAFs for BDE209 of 0.0011 to 0.0013, thus suggesting that bioaccumulation was not occurring based on these data.

DeBruyn et al. (2009) studied marine horse mussels (Modiolus modiolus) and sediment collected off the coast of Vancouver Island, British Columbia, Canada near the city of Victoria to evaluate and compare patterns of PBDE and PCB bioaccumulation. Samples were collected from 14 stations within 800 metres of a municipal outfall, and from three reference locations. At each station, three surface sediment samples (0 - 2 cm) and 15 randomly selected mussels (> 50 mm length) were collected. Mussels were measured for shell length and width, total weight, tissue weight, age and sex, prior to compositing and homogenizing tissue samples for chemical analysis by station. PBDEs were analyzed using HRGC-HRMS. Methods for PBDE determinations and QA/QC procedures were as per the U.S. Environmental Protection Agency (U.S. EPA) Methods 1 668A (21) and 1 614 (22), with some modifications. Sediment BSAFs were calculated (lipid and organic carbon normalized) for BDE209.

Sediment BDE209 concentrations were measured at all stations, ranging from 232 pg/g dw to 2550 pg/g dw. BDE209 was the predominant congener in sediment near the municipal wastewater. Although sediment BDE209 concentrations were highest near the wastewater outfall (2550 pg/g dw), the congener exhibited a gradient of decreasing predominance with proximity to the outfall, from approximately 80% of total PBDEs at reference locations to approximately 40% at the outfall station and in wastewater. BDE209 concentrations in mussel tissue ranged from “not detected” to 5305 pg/g dw (wastewater outfall station), and were above the detection limit at 7 of 17 stations. BSAFs for BDE209 were calculated using sediment and mussel tissue concentrations from the sampling stations. At 10 sites, BSAFs could not be calculated, as mussel tissue BDE209 concentrations were below the limits of quantification. For the remaining sites, sediment BSAFs were calculated as: 1.48 (outfall), 0.52 (200 m), 1.59 (400 m), 0.97 (400 m), 3.53 (reference), 0.94 (reference), and 1.18 (reference). The results generally suggest that BDE209 was not accumulating appreciably in the mussels at any site except for the reference location.

Riva et al. (2007) studied the effect of BDE209 on freshwater bivalve zebra mussels (Dreissena polymorpha) under laboratory conditions. The primary objective of the study was to investigate the potential genotoxicity of BDE209. For this study, several hundred mussels were sampled at a depth of 4 - 5 m from the Italian subalpine great lakes. Mussels (still attached to rocks) were transferred to the laboratory, where they were maintained in glass tanks at a 12-hour light/dark photoperiod, with constant temperature (20 °C) and oxygen (> 90% saturation), and fed a suspension of Pseudokirchneriella subcapitata. Approximately 150 acclimated mussels per BDE209 concentration were selected for exposure tests. DecaBDE (98% purity) was dissolved in isooctane/toluene (9:1 v:v) mixture, dissolved in dimethylsulfoxide (DMSO), and then added to water for final nominal concentrations of 0.1, 2 and 10 µg/L. Exposure assay aquaria were screened against direct sunlight to avoid photodegradation. Water was changed daily and mussels were fed 2 hours prior to water renewal. Control groups of mussels receiving either freshwater or a solvent blank (DMSO) were also monitored.

The mussels reached a relatively constant concentration of decaBDE in their tissues after 48 hours of exposure, for each treatment concentration. The United Kingdom (2008) interpreted the graphical representations of tissue concentrations and suggested a BCF for decaBDE in mussels on the order of 1000 l/kg or above. Riva et al. (2007) also suggested that there was also evidence for the presence of lower brominated congeners in the mussels after 168 hours exposure. These were not determined quantitatively but they were interpreted to have consistent GC analysis peaks with three heptaBDEs, three octaBDEs and three nonaBDEs.

Nyholm et al. (2008) used zebrafish (Danio rerio) to study the extent of transfer of 11 structurally diverse brominated flame retardants (BFRs) from females to their eggs. The tested BFRs included the PBDEs BDE28, BDE183 and BDE209. The tested BDE209 compound was synthesized at the Department of Environmental Chemistry at Stockholm University, and labelled standards (e.g., 13C) BDE209 were purchased (Cambridge Isotope laboratories--purity of PBDEs not provided). The adult fish were exposed to BFRs via their feed. The mixture of 11 BFRs in ethanol was added to freeze-dried chironomids, giving nominal concentrations of 1 and 100 nmol/g of each molecular species on a dry weight basis; ethanol was allowed to evaporate. Twenty-three males and 23 females were used for each dose level. Zebrafish were fed daily at ~2% of their body weight and sampled after 0, 3, 7, 14, 28, 35 and 42 days, 24 hours post-feeding. Two fish from each sampling period were pooled for analysis. Eggs were collected directly after spawning on days 0, 2 - 3, 6 - 7, 13 - 14, 27 - 28, 34 - 36, and 41 - 42. Samples were extracted and analyzed by GC/MS.

Average lipid contents of the fish and eggs were 3.36% and 0.47%, respectively. Female zebrafish exposed to high-dose feed (100 nmol/g) had approximately an order of magnitude greater BDE209 concentrations (3.8 to 9.6 nmol/g lipid) than those exposed to low-dose feed (0.17 to 0.97 nmol/g lipid). Maximum BDE209 concentrations in high-dose female zebrafish were measured after 28 d of exposure (9.6 nmol/g lipid), while maximum BDE209 in the low-dose fish was measured after day 42 (0.97 nmol/g lipid).

Egg concentrations from fish exposed to high-dose feed (100 nmol/g) were also approximately an order of magnitude greater in BDE209 concentrations (3.4 to 11 nmol/g lipid) in comparison to those of fish exposed to low-dose feed (0.46 to 2.2 nmol/g lipid). Maximum BDE209 concentrations in high-dose eggs were measured after 28 d of exposure (11 nmol/g lipid), while maximum BDE209 in the low-dose fish was measured after day 14 (2.2 nmol/g lipid). Eggs to fish ratios were calculated by dividing the BDE209 concentration at each point in time by the concentration measured in the fish. Egg/fish ratios were significantly (p < 0.05) higher than 1 for BDE209 in both exposure groups, with a higher ratio (i.e., higher BDE209 transfer) for the low-dose group. The authors suggested that the high egg/fish ratio may be influenced by the BFRs binding to the lipoproteins needed for egg production, or that the metabolic systems in eggs have a lower capacity for transformation than those in fish.

Marine Mammals and Terrestrial Species

Huwe and Smith (2007a, 2007b) examined the dietary accumulation, debromination and elimination of decaBDE in rats. Sprague-Dawley rats (n=26) were dosed with a commercial DecaBDE formulation (DE-83R 98.5% purity; 0.3 mg/g of diet) for a 21-d exposure period, which was followed by a 21-d elimination period. Following the 21-d exposure period, rats were sacrificed in groups of three for tissue analysis (liver, gastrointestinal tract, plasma, and remaining carcass) on days 0, 3, 7, 10, 14 and 21 of the elimination phase. Control rats were also sacrificed on these days to determine background PBDE concentrations (n=3 on day 0 and n=1 on all other days), and background values were subtracted from the PBDE determinations in the exposure group. Feces were collected from dosed rats daily during the exposure phase and pooled for analysis. Rat feed, feces and tissues were analyzed for a suite of PBDEs, including hepta- to decaBDE congeners.

Based on the analytical results, it was estimated that only 5% (or 3.6 mg) of the total decaBDE dose was retained in rat tissues following the 21-d dosing period, while approximately 50% was excreted to feces during this time. In addition to decaBDE, the authors concluded that one nonaBDE congener (BDE207) and two octaBDE congeners (BDE201 and BDE197) were derived from the uptake of decaBDE. However, the total burden of BDE207, -201 and -197 accounted for only 3% of the total decaBDE dose, and 45% of the dosed decaBDE was unaccounted for in rat tissues and feces. The authors speculated that the formation of bound and/or hydroxylated metabolites which were not included in their analysis was a likely explanation for the incomplete mass balance of decaBDE.

Based on the observed carcass concentration of decaBDE a “BCF” (analogous to a BMFFootnote 4) of 0.05 (on a ww basis, justified by the fact that the percent of lipid in food and carcass were similar) was calculated. It is not known whether decaBDE concentrations achieved steady state in rat tissues during the 21-d exposure period and, as a result, it is uncertain how well the reported BMF represents the potential steady-state value. It is also likely that the BMF based on a full accounting of decaBDE plus neutral, bound and or hydroxylated metabolites could be higher, but the concentrations of bound and hydroxylated metabolites were not reported. The study reported the half-life of decaBDE in rat tissue based on the observed elimination of decaBDE during the 21-d elimination period. First-order half-lives for decaBDE ranged from 3.9 d in plasma to 8.6 d in carcass. For the liver and plasma, second-order decay equations were found to represent the data well, with relatively rapid distribution phase half-lives of 0.7 and 1.2 d, respectively, but longer elimination phase half-lives of 20.2 and 75.9 d, suggesting potential persistence of decaBDE in rat tissues following chronic dosing. However, the authors cautioned that there was a high level of uncertainty in the second-order estimates.

Huwe et al. (2008) conducted a study of 29 male Sprague-Dawley rats to determine and compare the adsorption, distribution and excretion of PBDEs administered for 21 d as either a dust reference material or as a corn oil solution. The dust reference material (NIST Standard Reference Material 2585), containing a characterized and homogeneous composition of PBDEs, was mixed with rat chow. The corn oil solution contained commercial PBDE products DE-71, DE-79 and DE-83 (purity not given). These products were first dissolved in toluene and then mixed into a corn oil mixture. Daily doses were administered to the rats of either 1 or 6 µg/kg body weight (bw) of the dust/food or corn oil mixtures. The rats were randomly divided into five groups: controls (4 rats), low oil (4 rats), high oil (13 rats), low dust (4 rats) and high dust (4 rats). Most rats were dosed over a period of 21 d, and then were killed 24 hours after their last feeding. To assess whether rats were approaching a steady-state body burden, three groups of rats (n=3) from the high-oil-dose group were killed on days 3, 7 and 14 after dosing began. Sampling was conducted of the feed and oil mixtures, feces and tissues (epididymal fat, liver, kidney, brain, gastrointestinal tract and remaining carcass) for 15 PBDEs (BDE28/38, -47, -85, -99, -100, -138, -153, -154, -183, -186, -197, -203, -206, -207 and -209).

To determine whether steady-state body burdens were reached, only epididymal fat was sampled and analyzed. This analysis showed that all major tri- to octaBDEs had reached or were approaching steady state after 14 d, with no statistically significant differences between PBDE concentrations on days 14 and 21.

Retention of PBDEs in the body of rats was congener dependent and ranged from 4.0 to 4.8% of the dose for BDE209, and 10.1 to 22.6% for nonaBDEs, to approximately 69 to 78% for BDE47, -100, and -153, but did not generally differ between the dust and oil treatment groups. The study did not consistently detect nona- and decaBDEs in the adipose tissues above that of the controls. Urine contained less than 0.3% of any congener. Fecal excretion was the major route of elimination and was described in the study as that component of the dose not adsorbed. Fecal excretion was found to reach a steady state by day 2, with no statistically significant differences between mean concentrations in feces on days 2, 11 or 20. Excretion of BDE209 was approximately 68%, and ranged from 55.5 to 91.7% for the nonaBDEs. The amount of the BDE209 dose not adsorbed or excreted as parent compound ranged from 28% to 31.9%. Metabolic transformation products could have accounted for some portion of these percentages. Derived BCFs (analogous to BMFs as defined in this study) for adipose tissues were inversely related to the degree of bromination, and ranged from 7 to 24 for tri- to hexaBDE, 1 to 6 for hepta- to nonaBDEs and < 1 for decaBDE. For the liver tissues, BCFs for all PBDEs were below 1 except for BDE206 (BCF=2.4), and -207 (BCF=1.09). Hepatic Cyp2B1 and 2B2 mRNA expression increased in rats receiving the higher PBDE doses, suggesting potential effects of metabolic activity. The use of PBDE mixtures in this study made it impossible to conclusively determine whether metabolic debromination had occurred, although some of the findings are suggestive that metabolic transformation may have taken place (e.g., higher BMFs for some congeners like BDE206, and the detection of hydroxylated tetra- to hexaBDEs in feces).

Kierkegaard et al. (2007) reported the findings of a 3-month feeding study with dairy cows. The study was originally undertaken to measure the long-term mass balance of PCBs; however, archived samples from two cows and feed were subsequently analyzed for a range of PBDEs. Over the 13-week study period, the cows were kept indoors and milk and feces were sampled once per week. The feed consisted of silage, concentrate and a mineral supplement which was not deliberately spiked with PBDEs. As a result, the PBDE concentration in food generally represented “background” contamination levels.

The milk and feces samples were pooled according to the following scheme to obtain a series of 5 composite samples representing discrete portions of the 13-week study period: three 3-week composites and two 2-week composites. In addition, one of the cows was slaughtered at the end of the 13-week study, and samples of adipose tissue from 6 fat compartments as well as tissues from liver, kidney, heart and leg muscle were collected for analysis. Silage samples were retained for analysis at three intervals during the 13-week study, and concentrate and mineral samples were analyzed once during the study. All samples/composites of feed, milk, feces and tissue were analyzed for hepta- to nonaBDEs using HRMS and were analyzed for decaBDE using LRMS in negative chemical ionization mode (limit of quantification = 0.4 to 150 pg/g lipid or dw).

DecaBDE (i.e., BDE209) was the dominant congener in all matrices except milk, suggesting that milk levels were influenced more by the existing burden of PBDEs in storage tissue rather than uptake from food. In addition, PBDE levels were higher in the adipose storage tissues than in organ tissues. Based on these observations, the authors proposed that the cows were in a state of PBDE elimination rather than accumulation and that the observed PBDE concentrations may have been influenced by exposure to PBDEs prior to initiation of the 13-week experiment. Although a mass-balance analysis of input and output fluxes of PBDEs was attempted, it was largely unsuccessful due to a large increase in octa-, nona- and decaBDE congeners in the second silage sample relative to the first and third samples. It was unclear whether this second sample accurately represented the cows’ exposure since the increase of PBDEs in feces did not appear to coincide with the greater increase in decaBDE concentration in feed. PBDE concentrations in concentrate and mineral supplements were much lower than in the silage and did not likely affect the overall mass balance conducted on the PBDEs in this study.

The Government of the United Kingdom ( United Kingdom 2007a)conducted a critical analysis of the Kierkegaard et al. (2007) study and calculated dietary accumulation factors for a cow from silage based on either adipose tissue or whole body and the average silage concentration or end silage concentration. They concluded that the high variation in silage PBDE concentration led to considerable uncertainty in the study results with respect to bioaccumulation. To estimate accumulation factors and BMFs on a lipid-normalized basis, they assumed a 4% lipid content in silage. Table 2-5 summarizes the calculated accumulation factors and BMFs for nona- and decaBDE congeners from the Kierkegaard et al. (2007) study.

The calculated BMFs and accumulation factors were well below 1 for decaBDE and only exceeded 1 for BDE207. For BDE207, it is uncertain whether the estimated values represent direct accumulation of BDE207 from food, or accumulation combined with bioformation as a result of the debromination of decaBDE. The United Kingdom (2007a) study proposed that, for chemicals such as decaBDE which undergo transformation once accumulated in organisms, BMF estimates should be based on the total burden of parent chemical and the metabolites resulting from accumulation and transformation of the parent chemical. In the case of the Kierkegaard et al. (2007) study, it is difficult to do so since the lower brominated PBDEs were also present in the feed and their presence in tissue could thus have resulted from both accumulation and bioformation. Furthermore, based on studies with rats, it is likely that alternative transformation pathways are also present in mammals which result in the presence of polar metabolites, bound residues and water-soluble residues. For a full accounting of the total chemical burden related to the accumulation of decaBDE, these would also have to be quantified.

Table 2-5: Summary of Accumulation Factor Calculations by United Kingdom (2007a) Using the Findings of Kierkegaard et al. (2007) for One Cow

Parameter Congener
BDE206 BDE207 BDE208 BDE209
Concentration Data
Mean concentration in silage (ng/kg lipid)Footnote a.2 4150 2583 1626 98 750
Silage concentration over last feeding period (ng/kg lipid)Footnote a.2 625 450 220 12 000
Mean adipose tissue concentration (ng/kg lipid) 552 1867 155 3700
Mean concentration in organs/muscle (ng/kg lipid) 239 740 49 2378
Estimated mean whole body concentration in cow (ng/kg lipid) 286 909 65 2576
Derived Accumulation Factors for Adipose Tissue
Ratio of mean adipose concentration (ng/kg lipid) to mean silage concentration (ng/kg lipid) 0.13 0.72 0.095 0.037
Ratio of mean adipose concentration (ng/kg lipid) to silage concentration over last feeding period (ng/kg lipid) 0.88 4.1 0.70 0.31
Derived Accumulation Factors for Whole Body
BMF based on estimated whole body concentration (ng/kg lipid) to mean silage concentration (ng/kg lipid) 0.069 0.35 0.040 0.026
BMF based on estimated whole body concentration (ng/kg lipid) to silage concentration over last time period (ng/kg lipid) 0.46 2.0 0.30 0.21

 

Thomas et al. (2005) examined the absorption of decaBDE from diet by three captive juvenile grey seals (Halichoerus grypus). The captive seals were fed a constant diet of herring for 3 months prior to the initiation of the 3-month study (6 months total time). During the 3-month study, feeding with herring continued (1 - 2.5 kg/d), with all fish obtained from a single batch caught in the North Sea. The second month of the study involved a decaBDE exposure phase with the diet supplemented with 12 mg decaBDE per day, dissolved in a cod liver oil capsule. For the final month of the study, the diet was supplemented with the cod liver oil capsule only to measure elimination of accumulated decaBDE. Fish, blood and feces samples were collected and analyzed for PBDEs on a weekly basis throughout the 3-month period, while blubber biopsies were taken and analyzed for PBDEs 3 times during the study (beginning, 3 d after initiation of exposure phase, and end, after 29 d on a decaBDE-free diet).

The blood decaBDE concentration increased from non-detectable at the start of the exposure phase (day 28) to a maximum of approximately 1000 ng/g lipid (value read from graph) between 5 and 11 d after the end of the exposure phase. Concentrations of decaBDE in blubber ranged from non-detectable to 3.9 ng/g lipid on day 30 (3 d into the exposure phase) and from 3.4 to 7.4 ng/g lipid on day 83 (after 29 d on a decaBDE-free diet). The percentage of total ingested decaBDE estimated to be in blubber on day 30 ranged from 36 to 68% (for one of the three seals, decaBDE was not detected in blubber) and on day 83, from 11 to 15%.

During the elimination phase, the decaBDE half-lives in blood were estimated to be between 8.5 and 13 d, most likely due to a combination of metabolic transformation/elimination and transfer to blubber. The authors suggested that once stored in blubber, decaBDE was unlikely to be metabolized.

The calculation results indicate a relatively high (i.e., exceeding 1) BMF for blood and relatively low BMF for blubber. The relatively high blood-based BMF suggests that significant magnification could be occurring from the diet to blood and related tissues, indicating relatively high bioaccumulation potential. The blood BMFs reported by Thomas et al. (2005) may be somewhat uncertain because of other non-lipid constituents (proteins) that can be attributed to the overall sorptive capacity of blood, thus making blood lipid normalization less accurate. The lower BMFs for blubber could be explained by the large storage capacity of fat tissues for lipophilic chemicals--it is possible that only a small fraction of the potential steady-state concentration in blubber was reached during the 26-d exposure phase.

Based on the mass balance of measured input flux (in consumed diet) and output flux (in feces) of decaBDE, the authors determined an average absorption efficiency of 89% for decaBDE. The authors suggested that the high absorption efficiency called into question the theories regarding molecular size thresholds for chemical absorption. The relatively high apparent absorption efficiency was attributed to the following factors:

Table 2-6: Estimated BMFs from the Thomas et al. (2005) Feeding Study with Captive Juvenile Grey Seals (Halichoerus Grypus)

Parameter Value Units
Daily dose of decaBDE 12 mg/day
Fish feeding rate 1 - 2.5 kg/day
Exposure concentration 4.8 - 12 ng/g ww
Exposure concentration 48 - 120 ng/g lipid
Maximum blood concentration (approximate) 1000 ng/g lipid
Blood BMF 8.3 - 20.8 g/g lipid
Median blubber concentration - Day 30 3 ng/g lipid
Median blubber concentration - Day 83 5.3 ng/g lipid
Blubber BMF - Day 30 0.025 - 0.063 g/g lipid
Blubber BMF - Day 83 0.044 - 0.11 g/g lipid

An additional explanation for the high apparent absorption efficiency which was not discussed by the authors is the potential formation of bound metabolites and/or the formation and subsequent excretion of phenolic and/or methoxylated metabolites. Recent studies with Sprague-Dawley rats (Mörck et al. 2003; Huwe and Smith 2007a, 2007b; Riu et al. 2008) have indicated that the formation of phenolic and methoxylated metabolites may be an important transformation pathway for accumulated decaBDE. Thus, if phenolic or methoxylated metabolites were present but not analyzed in the feces, it is possible that the output flux was underestimated, resulting in an overestimate of the absorption efficiency of decaBDE. Another potential uncertainty relates to an inconsistency in identified dosage rate. While the high proportion of total ingested decaBDE estimated to be present in blubber on day 30 and 83 (i.e., up to 68%) indicates significant decaBDE adsorption, there is some uncertainty in the overall findings of the study.

By using the reported decaBDE concentrations in blood and blubber in conjunction with an estimated decaBDE concentration in food, it is possible to estimate blood-based and blubber-based BMFs for the Thomas et al. (2005) exposure study. Unfortunately, the authors did not report the lipid content of the herring consumed by the seals; however, based on values reported in the literature (e.g., Iverson et al. 2002; Jensen et al. 2007) a value of 10% lipid was used as a reasonable approximation for the BMF estimates summarized in Table 2-6. Note that the blood concentrations do not appear to have reached steady state during the exposure phase and it is likely that this also applies to the blubber concentrations. Furthermore, the blubber concentrations at day 30 and day 83 are unlikely to represent maximum accumulation of decaBDE (maximum accumulation would be expected at or after the end of the exposure phase (at day 54). Thus, the blood-based and blubber-based BMFs underestimate the steady-state BMF to an unknown degree.

Sellström et al. (2005) analyzed decaBDE in soil and earthworm (species not identified), samples collected in 2000 from three research stations (with reference plots and sewage sludge amended plots) and two farms (reference and amended/flooded soils) in Sweden . Soil decaBDE concentrations at the various sites ranged from 0.015 to 22 000 ng/g dw, and organic carbon content (based on loss-on-ignition data) ranged from 2.12 to 7.22%. Concentrations of decaBDE in worms ranged from 0.99 to 52 000 ng/g lipid. Using these data, Sellström et al. (2005) calculated site-specific soil BSAFs for co-occurring worm and soil samples. The estimated BSAFs ranged from 0.04 to 0.7 and averaged 0.3. Based on these results, the authors concluded that decaBDE was bioavailable in soils. However, in this study, decaBDE was not shown to be bioaccumulating in earthworms. The authors did not observe any evidence of photolytic debromination in soils.

The soil BSAFs determined by Sellström et al. (2005) were all below the range that might provide evidence of decaBDE biomagnification (i.e., 1.7 to 3; refer to Section 1.2).

As part of their study of grizzly bears from British Columbia, Christensen et al. (2005) conducted a bioaccumulation analysis for decaBDE. Their method involved the estimation of a “bioaccumulation slope” based on a comparison of decaBDE concentration with the proportion of meat in the diet. The rationale was that if trophic magnification was causing an increase in decaBDE concentrations in prey above that in consumed vegetation, then the concentration of decaBDE in bears would increase as the proportion of prey-derived meat in their diet increased. A positive bioaccumulation slope indicates trophic magnification while a negative bioaccumulation slope indicates that trophic dilution was taking place. The authors indicated that the bioaccumulation slope for decaBDE was negative (albeit not significantly different from 0) but did not provide the value. The lack of a significant positive bioaccumulation slope for decaBDE suggests that decaBDE was not undergoing trophic magnification in the studied grizzly bear food webs based on a diet of meat. The study did not examine the potential significance of decaBDE exposure via consumed vegetation or inhaled air.

In their study of decaBDE in the marine food web of Svalbard, Norway , SØrmo et al. (2006) also attempted to estimate BMFs for predator and prey species. Unfortunately, the high number of non-detected concentrations precluded the estimation of BMFs for polar bear / ringed seal or ringed seal / polar cod combinations. The estimated BMFs for polar cod / ice amphipod based on the mean concentrations in each species (except for ice amphipod for which there was only one sample) were 0.1 (wet weight basis) and 0.03 (lipid weight basis), indicating no evidence of biomagnification for this predator-prey combination.

2.2.3 Model Predictions

Published models exist for predicting bioaccumulation in aquatic food webs and biomagnification in terrestrial mammals. The BAF - QSAR model described by Arnot and Gobas (2003) has generic applicability to the Canadian environment, and a modified version of this model was applied during the Government of Canada’s categorization of its Domestic Substances List. This model predicts both BAFs and BCFs for three representative fish trophic levels (low, middle and upper) in a generic aquatic food web based on a standard set of conditions found in the Canadian environment. For the terrestrial environment, Gobas et al. (2003) describe a terrestrial biomagnification model for adult male wolves (Canis lupus) based on the work of Kelly and Gobas (2003). It predicts BMFs for wolves based on chemical log Koa (logarithm of octanol-air coefficient), chemical log Kow, and a set of parameters describing the lichen-caribou-wolf food web of Bathurst Inlet in the Canadian Arctic. Both of these models incorporate a metabolic rate constant as part of chemical elimination, allowing for metabolism correction of BAF, BCF and BMF predictions based on field or laboratory observations. For both models, however, the default assumption is zero metabolism.

BAF and BCF predictions for fish were made for decaBDE using the BAF - QSAR model. Environment Canada ’s review of log Kow values for decaBDE revealed that a log Kow of 8.7 reported by Wania and Dugani (2003) is considered to represent the most reliable value available. For further rationale regarding the selection of log Kow values, refer to Appendix C. Two prediction scenarios were conducted: the first with no correction made for metabolic transformation, and the second corrected for metabolism based on the laboratory observations of Tomy et al. (2004). Tomy et al. determined a half-life of 26 d in juvenile lake trout fed a diet containing decaBDE, which is consistent with a total elimination rate (kT) of approximately 0.027/d. The Tomy et al. (2004) value was used to derive an in vivo-based metabolic rate constant (kM) according to the method of Arnot et al. (2008b). In this method, when kT is available, kM is derived according to the following equation:

kM = kT - (k2 + kE + kG)

where:

kM = the metabolic rate constant (1/d);

k2 = the elimination rate constant (parameterized using data from Arnot et al. 2008a);

kE = fecal egestion rate constant (parameterized using data from Arnot et al. 2008a); and

kG = growth rate constant (parameterized using data from Arnot et al. 2008a).

The method of Arnot et al. (2008b) provides for the estimation of confidence factors (CFs) for the kM to account for error associated with the in vivo data (i.e., measurement variability, parameter estimation uncertainty and model error). A CF of ±3.0 was calculated for the available BMF data.

Because metabolic potential can be related to body weight and temperature (e.g., Hu and Layton 2001; Nichols et al. 2006), the kM was further normalized to 15oC and then corrected for the body weight of the middle trophic level fish in the Arnot-Gobas model (184 g) (Arnot et al. 2008a). The middle trophic level fish was used to represent overall model output and is most representative of fish weight likely to be consumed by an avian or terrestrial piscivore. After normalization routines, the kM ranges from 0.02 to 0.17 with a median value of 0.06.

The BAF and BCF predictions for the middle trophic level fish for decaBDE are summarized in Table 2-7. All predicted BCF values are below 5000, which is expected given that uptake and elimination via the gills (which BCF accounts for) is limited and only important for substances with a log Kow of approximately less than 4.5.

Table 2-7: BAF and BCF Predictions for DecaBDE using the Arnot-Gobas Kinetic Model (v1.11)

kM (metabolism-corrected; days) Log Kow
used
Arnot-Gobas
BCF
Arnot-Gobas
BAF
Half-life
(days)
1.93E-02 (2.5%) 8.7 251 161 618 99
0.058 (average) 8.7 90 29 386 35
0.17 (97.5%) 8.7 31 4056 12
0 (no metabolism) 8.7 2570 2 630 268 795

Note: Bolded values exceed the BAF/BCF criterion of 5000.

The predicted BAF, when corrected for metabolic transformation, ranges from 4056 to 161 618 depending on the rate of metabolism. The predicted BAF for an average kM, which can be said to represent the typical fish metabolic potential in the Canadian environment, was calculated to be 29 386. When a default of no metabolism is used in the model, the BAF is several orders of magnitude higher than the BAF calculated with average metabolic rate potential. These results demonstrate the influence of both chemical partitioning behaviour (i.e., log Kow) and metabolic transformation on the bioaccumulation potential of decaBDE.

The metabolism-corrected BAFs probably provide the best estimate of the bioaccumulation potential of decaBDE since metabolic transformation of decaBDE has been demonstrated or inferred in most laboratory studies. It is important to note that these corrected BAFs could underestimate the total chemical bioaccumulation related to decaBDE since they are based on parent chemical only and do not account for the additional presence of metabolites in tissues.

BMF predictions for wolves were made using a spreadsheet version of the Gobas et al. (2003) model. The model can be re-parameterized for dietary assimilation efficiency (ED) and kM, the default settings of which are 90% and 0%, respectively. In addition to the range of potential log Kow values described for the BAF - QSAR model in Appendix C, two log Koa estimates were available: 15.27 (Tittlemier et al. 2002) and 18.423 (predicted by the QSAR model, KOAWIN). However, the BMF predictions do not vary significantly for log Koa or log Kow values in these ranges, and systemic variation of log Koa and log Kow made little difference in the predicted output. Four prediction scenarios were conducted: the first with no correction for metabolic transformation, and the remaining three corrected for metabolism based on the laboratory observations of Huwe and Smith (2007a, 2007b). They determined a range of potential half-lives for decaBDE in rats based on a combination of first-order and second-order approximations to elimination data for carcass, liver and blood plasma. For carcass, a first-order half-life of 8.6 d was found to best represent the elimination data. For blood plasma and liver, second-order models (i.e., with distribution and elimination phases) provided the better fit, with elimination phase half-lives (representing slower elimination from residual body stores) of 75.9 and 20.2 d, respectively. These half-lives were used to infer kM values using a similar method as with the BAF - QSAR model, resulting in kM ranging from 0.0086 to 0.08/d. Because these rates are based on rodent exposures, they also must be scaled to the body weight of the wolf (e.g., Hu and Layton 2001). This results in kM values of 0.004 to 0.03 assuming a rat weight of 0.25 kg and the wolf model body weight of 80 kg (Hu and Layton 2001; Arnot et al. 2008b).

The terrestrial BMF predictions for decaBDE are summarized in Table 2-8. An ED of ~56% was calculated as outlined in Kelly et al. (2004) using the ED model for humans as the best estimator for carnivores. In the absence of a correction for metabolism, the predicted BMF was 89 and, when corrected for metabolism BMF predictions, ranged from 0.5 to 3.5 depending on the kM used in the model (Table 2-8). These metabolism-corrected and assimilation-efficiency-corrected predictions are within the range of experimental BMF values reported for decaBDE for terrestrial and aquatic receptors. The metabolism-corrected BMFs probably provide the best estimate of the biomagnification potential of decaBDE since metabolic transformation of decaBDE has been demonstrated or inferred in most laboratory and captive feeding studies reviewed from the open literature. Thus, corrected BMFs suggest a lack of or low level of biomagnification largely as a result of metabolism of decaBDE.

It is important to note that the corrected BMFs could underestimate the total chemical biomagnification related to decaBDE since they are based on parent chemical only and do not account for the additional presence of metabolites in tissues. Thus, if all metabolites were included in the BMF calculations, it is possible that all predicted BMFs might be higher.

Table 2-8: Wolf BMF Predictions for DecaBDE Made Using the Terrestrial Biomagnification Model of Gobas et al. (2003)

kM (wolf BW normalized) (days) Log Kow
used
Log Koa
used
Gobas
BMF
Half-life
(days)
0.004
(based on half-life of 79.5 d decaBDE in plasma)Footnote a.3
8.7 15.2 3.5 173
0.03
(based on half-life of 8.6 d decaBDE in carcass)Footnote a.3
8.7 15.2 0.5 23
0 (no metabolism) 8.7 15.2 89 4119

 

2.3 Weight-of-Evidence Analysis

2.3.1 Summary of Evidence

This section provides a summary of evidence which is currently available regarding the bioaccumulation and biomagnification of decaBDE. It is intended to synthesize the existing state of the science regarding whether decaBDE is “bioaccumulative” or may biomagnify in food chains. Unequivocal evidence supporting the conclusion that decaBDE is bioaccumulative and meets the criteria for bioaccumulation under the Persistence and Bioaccumulation Regulations, or is biomagnifying in food chains, was not available. Additional considerations and interpretations on the capacity for decaBDE to bioaccumulate and/or biomagnify are also summarized in a third section.

1. EquivocalFootnote 5 evidence with respect to whether decaBDE has significant potential to bioaccumulate or biomagnify in the environment:

2. Evidence that does not supportFootnote 6 the conclusion that decaBDE has significant potential to bioaccumulate or biomagnify in the environment:

3. Additional considerations and evidence:

2.3.2 Conclusion Respecting Bioaccumulation

The existing evidence for the bioaccumulation of decaBDE does not support a conclusion of “bioaccumulative” as defined in the current Persistence and Bioaccumulation Regulations under CEPA 1999. While most available data show that decaBDE has limited potential to bioaccumulate or biomagnify in the environment, some evidence suggests a higher BAF than previously considered for decaBDE, and some new data suggest possible biomagnification. The modelling undertaken to support this evaluation, however, shows uncertainty associated with metabolism in fish, as model-predicted aquatic BAFs range from below the 5000 criterion to well above 5000. Predicted terrestrial carnivore BMF values also range from below 1 to greater than 1 depending on the rate of metabolism assumed. Although less relevant than BAF or BMF, experimental BCF measures are below the 5000 criterion. The substance is shown to be increasing in concentrations in some wildlife species, and some data suggest that decaBDE has reached concentrations in some organisms interpreted to be high. DecaBDE (i.e., BDE209) is also considered to be contributing to the bioaccumulation potential of total PBDEs as a result of metabolism to lower brominated forms (to be discussed later in this report).

 

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