Fate and distribution modelling of metals in life cycle impact assessment

Internal concentration as a better predictor of metal toxicity than the fractional coverage of metals on biotic ligand: Comparison of 3 modeling approaches

Modeling toxicity of metal mixtures poses unique challenges to the incorporation of bioavailability and metal speciation in metal exposures. Three models (models I, II, and III) were compared in the present study to predict and interpret the toxicity exerted by binary metal mixtures to zebrafish larvae, with the assumption of competition between metals based on the biotic ligand model and toxic potencies of individual metals. In addition, 3 models were developed by substituting binding constants (f_MBL ) for internal metal concentrations (C_M,int ) to directly delineate single-metal and mixture effects on mortality of zebrafish larvae. The results indicated that the 3 developed models appeared to be much better (p < 0.01) than 3 previous models at assessing the toxicity of different metal mixtures and showed 10% to 20% predictive improvement for each metal combination, with the toxic equivalency factor-based model II showing the best performance at quantifying metal mixture toxicity. The 3 developed models generally provided a reasonable framework and descriptions of bioavailability and additive (or nearly additive) toxicity for a number of binary metal mixtures. Environ Toxicol Chem 2016;35:2721-2733. © 2016 SETAC.

The mismatch of bioaccumulated trace metals (Cu, Pb and Zn) in field and transplanted oysters (Saccostrea glomerata) to ambient surficial sediments and suspended particulate matter in a highly urbanised estuary (Sydney estuary, Australia)

A significant correlation between sedimentary metals, particularly the 'bio-available' fraction, and bioaccumulated metal concentrations in the native Sydney rock oyster (Saccostrea glomerata) tissues has been successfully demonstrated previously for Cu and Zn in a number of estuaries in New South Wales, Australia. However, this relationship has been difficult to establish in a highly modified estuary (Sydney estuary, Australia) where metal contamination is of greatest concern and where a significant relationship would be most useful for environmental monitoring. The use of the Sydney rock oyster as a biomonitoring tool for metal contamination was assessed in the present study by investigating relationships between metals attached to sediments and suspended particulate matter (SPM) to bioaccumulated concentrations in oyster tissues. Surficial sediments (both total and fine-fraction), SPM and wild oysters were collected over 3 years from three embayments (Chowder Bay, Mosman Bay and Iron Cove) with each embayment representing a different physiographic region of Sydney estuary. In addition, a transplant experiment of farmed oysters was conducted in the same embayments for 3 months. No relationship was observed between sediments or SPM metals (Cu, Pb and Zn) to tissue of wild oysters; however, significant relationship was observed against transplanted oysters. The mismatch between wild and farmed, transplanted oysters is perplexing and indicates that wild oysters are unsuitable to be used as a biomonitoring tool due to the involvement of unknown complex factors while transplanted oysters hold strong potential.

New method for calculating comparative toxicity potential of cationic metals in freshwater: application to copper, nickel, and zinc

Current practice in chemical hazard ranking and toxic impact assessments is to estimate fate and toxicity assuming the chemical exists in dissolved and particulate phases and, for metals, that all dissolved species are equally bioavailable. This introduces significant error since metal effects are related to the truly dissolved phase and free metal ion within it, not the total dissolved phase. We introduce a Bioavailability Factor (BF) to the calculation of hazard or Comparative Toxicity Potentials (CTPs) (also known as Characterization Factors; CFs) for use in Life Cycle Impact Assessment (LCIA). The method uses for calculation (1) USEtox for environmental fate, (2) WHAM 6.0 for metal partitioning and speciation in aquatic systems, and (3) Biotic Ligand Model (BLM) for average toxicity. For 12 EU water-types, we calculated medians (range) of CTPs of 1.5 x 10(4) (1.5 x 10(2) to 1.2 x 10(5)), 5.6 x 10(4) (9.4 x 10(3) to 4.1 x 10(5)), and 2.1 x 10(4) (7 x 10(3) to 5.8 x 10(4)) day*m(3)/kg for Cu, Ni, and Zn, respectively, which are up to approximately 1000 times lower than previous values. The greatest contributor to variability in CTPs was the BF, followed by toxicity Effect Factor (EF). The importance of the choice of water-type is shown by changes in the relative ranking of CTPs, which are equally influenced by water chemistry and inherent metal-specific differences.

Calculation of the ecological risk index in the José Antonio Alzate Dam, State of Mexico, Mexico

Due to the problem of contamination in the Jose Antonio Alzate dam, located in the State of Mexico, Mexico, the partition coefficient, the contamination degree, and the ecological risk index of nine metals were calculated in order to establish the water quality in different areas of the Alzate dam. The sampling sites were selected according to the river flow into the dam, via three sampling programs, the physical-chemical parameters were measured in situ, and the samples were collected to measure metals in the dissolved phase and also as suspended particulate matter. Thomann's model was used to calculate the partition coefficient. Håkanson's methodology was used to determine the degree of contamination and the ecological risk index. Finally, the water quality criteria for the dissolved metals were calculated. The results for suspended particulate matter suggest a moderate risk of metal contamination in the dam. Copper and lead in dissolved form exceeded the values of water quality criteria.