Effect of Cu Species Distribution in Soil Pore Water on Prediction of Acute Cu Toxicity to Hordeum vulgare using Terrestrial Biotic Ligand Model

doi:10.7857/JSGE.2017.22.5.030

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2017 Vol.22, Issue 5 Preview Page Next Page

Effect of Cu Species Distribution in Soil Pore Water on Prediction of Acute Cu Toxicity to Hordeum vulgare using Terrestrial Biotic Ligand Model 토양 공극수 내 Cu의 존재형태가 terrestrial biotic ligand model을 이용한 보리의 급성독성 예측에 미치는 영향: 안진성;정부윤;이병준;남경필;
An, Jinsung;Jeong, Buyun;Lee, Byungjun;Nam, Kyoungphile;

31 October 2017. pp. 30 ~ 39

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Abstract

In this study, the predictive toxicity of barley Hordeum vulgare was estimated using a modified terrestrial biotic ligand model (TBLM) to account for the toxic effects of $CuOH^+$ and $CuCO_3(aq)$ generated at pH 7 or higher, and this was compared to that from the original TBLM. At pH values higher than 7, the difference in $EA_{50}\{Cu^{2+}\}$ (half maximal effective activity of $Cu^{2+}$) between the two models increased with increasing pH. As Mg concentration increased from 8.24 to 148 mg/L in the pH range of 5.5 to 8.5, the difference in $EA_{50}\{Cu^{2+}\}$ increased, and it reached its maximum at pH 8. The difference in $EC_{50}[Cu]_T$ (half maximal effective concentration of Cu) between the two models increased as dissolved organic carbon (DOC) concentration increased when pH was above 7. Thus, for soils with alkaline pH, the toxic effect of $CuOH^+$ and $CuCO_3(aq)$ are greater at higher salt and DOC concentrations. The acceptable Cu concentration in soil porewater can be estimated by the modified TBLM through deterministic method at pH levels higher than 7, while combination of TBLM and species sensitivity distribution through the probabilistic method could be utilized at pH levels lower than 7.

Keywords

Copper;$CuOH^+$;$CuCO_3(aq)$;Terrestrial biotic ligand model;Acceptable Cu concentration;

References

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An, J., Jho, E.H., and Nam, K., 2015, Effect of dissolved humic acid on the Pb bioavailability in soil solution and its consequence on ecological risk, J. Hazard. Mater., 286, 236-241.10.1016/j.jhazmat.2014.12.016
Antunes, P.M.C. and Kreager, N.J., 2009, Development of the terrestrial biotic ligand model for predicting nickel toxicity to barley (Hordeum vulgare): Ion effects at low pH, Environ. Toxicol. Chem., 28, 1704-1710.10.1897/08-387.1
Baltpurvins, K.A., Burns, R.C., and Lawrance, G.A., 1996, Heavy metals in wastewater: Modelling the hydroxide precipitation of copper(II) from wastewater using lime as the precipitant, Waste Manag., 16, 717-725.10.1016/S0956-053X(97)00014-7
Cances, B., Ponthieu, M., Castrec-Rouelle, M., Aubry, E., and Benedetti, M.F., 2003, Metal ions speciation in a soil and its solution: experimental data and model results, Geoderma, 113, 341-355.10.1016/S0016-7061(02)00369-5
Chen, B.-C., Ho, P.-C., and Juang, K.-W., 2013, Alleviation effects of magnesium on copper toxicity and accumulation in grapevine roots evaluated with biotic ligand models, Ecotoxicology, 22, 174-183.10.1007/s10646-012-1015-z
De Schamphelaere, K.A.C., Heijerick, D.G., and Janssen, C.R., 2002, Refinement and field validation of a biotic ligand model predicting acute copper toxicity to Daphnia magna, Comp. Biochem. Physiol. C-Toxicol. Pharmacol., 133, 243-258.10.1016/S1532-0456(02)00087-X
De Schamphelaere, K.A.C. and Janssen, C.R., 2004, Effects of dissolved organic carbon concentration and source, pH, and water hardness on chronic toxicity of copper to Daphnia magna, Environ. Toxicol. Chem., 23, 1115-1122.10.1897/02-593
Di toro, D.M., Allen, H.E., Bergman, H.L., Meyer, J.S., Paquin, P.R., and Santore, R.C., 2001, Biotic ligand model of the acute toxicity of metals. 1. Technical basis, Environ. Toxicol. Chem., 20, 2383-2396.10.1002/etc.5620201034
Edmunds, W.M. and Bath, A.H., 1976, Centrifuge extraction and chemical analysis of interstitial waters, J. Environ. Sci. Technol., 10, 467-472.10.1021/es60116a002
Ge, Y., MacDonald, D., Sauve, S., and Hendershot, W., 2005, Modeling of Cd and Pb speciation in soil solutions by WinHumiv V and NICA-Donnan model, Environ. Modell. Softw., 20, 353-359.10.1016/j.envsoft.2003.12.014
Gustafsson, J.P., 2014, Visual MINTEQ, Ver 3.1, available from http://vminteq.lwr.kth.se/ [accessed December, 2016]
Hsu, K.J., 1963, Solubility of dolomite and composition of florida ground waters, J. Hydrol., 1, 288-310.10.1016/0022-1694(63)90020-9
Kim, S.D., Ma, H., Allen, H.E., and Cha, D.K., 1999, Influence of dissolved organic matter on the toxicity of copper to Ceriodaphnia dubia: Effect of complexation kinetics, Environ. Toxicol. Chem., 18, 2433-2437.10.1002/etc.5620181108
Kwon, E., Lee, H.A, Kim, D., Lee, J., Lee, S., and Yoon, H.-O., 2015, Geochemical investigation of fluoride migration in the soil affected by an accidental hydrofluoric acid leakage, J. Soil Groundw. Environ., 20(3), 65-73.
Li, B., Zhang, X., Wang, X., and Ma, Y., 2009, Refininig a biotic ligand model for nickel toxicity to barley root elongation in solution culture, Ecotox. Environ. Safe., 72, 1760-1766.10.1016/j.ecoenv.2009.05.003
Lock, K., De Schamphelaere, K.A.C., Becaus, S., Criel, P., Van Eeckhout, H., and Janssen, C.R., 2007, Development and validation of a terrestrial biotic ligand model predicting the effect of cobalt on root growth of barley (Hordeum vulgare), Envrion. Pollut., 147, 626-633.10.1016/j.envpol.2006.10.003
Luo, X.-S., Li, L.-Z., and Zhou, D.-M., 2008, Effect of cations on copper toxicity to wheat root: Implications for the biotic ligand model, Chemosphere, 73, 401-406.10.1016/j.chemosphere.2008.05.031
NIER, 2014, Regulation of specific method for risk assessment of chemicals, NIER notification 2014-48.
Santore, R.C., Di toro, D.M., Pauin P.R., Allen, H.E., and Meyer, J.S., 2001, Biotic ligand model of the acute toxicity of metals. 2. Application to acute copper toxicity in freshwater fish and Daphnia, Environ. Toxicol. Chem., 20, 2397-2402.10.1002/etc.5620201035
Sauve, S., Norvell, W.A., Mcbride, M., and Hendershot, W., 2000, Speciation and complexation of cadmium in extracted soil solutions, Environ. Sci. Technol., 34, 291-296.10.1021/es990202z
Song, N., Zhong, Xu, Li, B., Li, J., Wei, D., and Ma, Y., 2014, Development of a multi-species biotic ligand model predicting the toxicity of trivalent chromium to barley root elongation in solution culture, Plos one 9(8): e105174. doi:10.1371/journal.pone.0105174.10.1371/journal.pone.0105174
Thakali, S., Allen, H.E., Di Toro, D.M., Ponizovsky, A.A., Rodney, C.P., Zhao, F.J., and McGrath, S.P., 2006a, A terrestrial biotic ligand model. 1. Development and application to Cu and Ni toxicities to barley root elongation in soils, Environ. Sci. Technol., 40, 7085-7093.10.1021/es061171s
Thakali, S., Allen, H.E., Di Toro, D.M., Ponizovsky, A.A., Rodney, C.P., Zhao, F.J., McGrath, S.P., Criel, P., Eeckout, H.V., Janssen, C.R., Oorts, K., and Smolders, E., 2006b, Terrestrial biotic ligand model. 2. Application to Ni and Cu toxicities to plants, invertebrates, and microbes in soil, Environ. Sci. Technol., 40, 7094-7100.10.1021/es061173c
Wang, X., Ma, Y., Hua, L., and McLaughlin, M.J., 2009, Identification of hydroxyl copper toxicity to barley (Hordeum vulgare) root elongation in solution culture, Environ. Toxicol. Chem., 28, 662-667.10.1897/07-641.1
Wang, X., Hua, L., and Ma, Y., 2012, A biotic ligand model predicting acute copper toxicity for barley (Hordeum vulgare): Influence of calcium, magnesium, sodium, potassium and pH, Chemosphere, 89, 89-95.10.1016/j.chemosphere.2012.04.022
Yu, G., An, J., Jeong, B., and Nam, K., 2017, Effect of environmental factors on the determination of the ecotoxicological threshold concentration of Cu in soil porewater through biotic ligand model and species sensitivity distribution, J. Soil Groundw. Environ., 22(1), 49-58.

Information

Publisher :The Korean Society of Soil and Groundwater Environment
Publisher(Ko) :한국지하수토양환경학회
Journal Title :Journal of Soil and Groundwater Environment
Journal Title(Ko) :지하수토양환경
Volume : 22
No :5
Pages :30 ~ 39
DOI :https://doi.org/10.7857/JSGE.2017.22.5.030

[1] An, J., Jeong, S., Moon, H.S., Jho, E.H., and Nam, K., 2012, Prediction of Cd and Pb toxicity to Vibrio fischeri using biotic ligand-based models in soil, J. Hazard. Mater., 203-204, 69-76.10.1016/j.jhazmat.2011.11.085

[2] An, J., Jho, E.H., and Nam, K., 2015, Effect of dissolved humic acid on the Pb bioavailability in soil solution and its consequence on ecological risk, J. Hazard. Mater., 286, 236-241.10.1016/j.jhazmat.2014.12.016

[3] Antunes, P.M.C. and Kreager, N.J., 2009, Development of the terrestrial biotic ligand model for predicting nickel toxicity to barley (Hordeum vulgare): Ion effects at low pH, Environ. Toxicol. Chem., 28, 1704-1710.10.1897/08-387.1

[4] Baltpurvins, K.A., Burns, R.C., and Lawrance, G.A., 1996, Heavy metals in wastewater: Modelling the hydroxide precipitation of copper(II) from wastewater using lime as the precipitant, Waste Manag., 16, 717-725.10.1016/S0956-053X(97)00014-7

[5] Cances, B., Ponthieu, M., Castrec-Rouelle, M., Aubry, E., and Benedetti, M.F., 2003, Metal ions speciation in a soil and its solution: experimental data and model results, Geoderma, 113, 341-355.10.1016/S0016-7061(02)00369-5

[6] Chen, B.-C., Ho, P.-C., and Juang, K.-W., 2013, Alleviation effects of magnesium on copper toxicity and accumulation in grapevine roots evaluated with biotic ligand models, Ecotoxicology, 22, 174-183.10.1007/s10646-012-1015-z

[7] De Schamphelaere, K.A.C., Heijerick, D.G., and Janssen, C.R., 2002, Refinement and field validation of a biotic ligand model predicting acute copper toxicity to Daphnia magna, Comp. Biochem. Physiol. C-Toxicol. Pharmacol., 133, 243-258.10.1016/S1532-0456(02)00087-X

[8] De Schamphelaere, K.A.C. and Janssen, C.R., 2004, Effects of dissolved organic carbon concentration and source, pH, and water hardness on chronic toxicity of copper to Daphnia magna, Environ. Toxicol. Chem., 23, 1115-1122.10.1897/02-593

[9] Di toro, D.M., Allen, H.E., Bergman, H.L., Meyer, J.S., Paquin, P.R., and Santore, R.C., 2001, Biotic ligand model of the acute toxicity of metals. 1. Technical basis, Environ. Toxicol. Chem., 20, 2383-2396.10.1002/etc.5620201034

[10] Edmunds, W.M. and Bath, A.H., 1976, Centrifuge extraction and chemical analysis of interstitial waters, J. Environ. Sci. Technol., 10, 467-472.10.1021/es60116a002

[11] Ge, Y., MacDonald, D., Sauve, S., and Hendershot, W., 2005, Modeling of Cd and Pb speciation in soil solutions by WinHumiv V and NICA-Donnan model, Environ. Modell. Softw., 20, 353-359.10.1016/j.envsoft.2003.12.014

[12] Gustafsson, J.P., 2014, Visual MINTEQ, Ver 3.1, available from http://vminteq.lwr.kth.se/ [accessed December, 2016]

[13] Hsu, K.J., 1963, Solubility of dolomite and composition of florida ground waters, J. Hydrol., 1, 288-310.10.1016/0022-1694(63)90020-9

[14] Kim, S.D., Ma, H., Allen, H.E., and Cha, D.K., 1999, Influence of dissolved organic matter on the toxicity of copper to Ceriodaphnia dubia: Effect of complexation kinetics, Environ. Toxicol. Chem., 18, 2433-2437.10.1002/etc.5620181108

[15] Kwon, E., Lee, H.A, Kim, D., Lee, J., Lee, S., and Yoon, H.-O., 2015, Geochemical investigation of fluoride migration in the soil affected by an accidental hydrofluoric acid leakage, J. Soil Groundw. Environ., 20(3), 65-73.

[16] Li, B., Zhang, X., Wang, X., and Ma, Y., 2009, Refininig a biotic ligand model for nickel toxicity to barley root elongation in solution culture, Ecotox. Environ. Safe., 72, 1760-1766.10.1016/j.ecoenv.2009.05.003

[17] Lock, K., De Schamphelaere, K.A.C., Becaus, S., Criel, P., Van Eeckhout, H., and Janssen, C.R., 2007, Development and validation of a terrestrial biotic ligand model predicting the effect of cobalt on root growth of barley (Hordeum vulgare), Envrion. Pollut., 147, 626-633.10.1016/j.envpol.2006.10.003

[18] Luo, X.-S., Li, L.-Z., and Zhou, D.-M., 2008, Effect of cations on copper toxicity to wheat root: Implications for the biotic ligand model, Chemosphere, 73, 401-406.10.1016/j.chemosphere.2008.05.031

[19] NIER, 2014, Regulation of specific method for risk assessment of chemicals, NIER notification 2014-48.

[20] Santore, R.C., Di toro, D.M., Pauin P.R., Allen, H.E., and Meyer, J.S., 2001, Biotic ligand model of the acute toxicity of metals. 2. Application to acute copper toxicity in freshwater fish and Daphnia, Environ. Toxicol. Chem., 20, 2397-2402.10.1002/etc.5620201035

[21] Sauve, S., Norvell, W.A., Mcbride, M., and Hendershot, W., 2000, Speciation and complexation of cadmium in extracted soil solutions, Environ. Sci. Technol., 34, 291-296.10.1021/es990202z

[22] Song, N., Zhong, Xu, Li, B., Li, J., Wei, D., and Ma, Y., 2014, Development of a multi-species biotic ligand model predicting the toxicity of trivalent chromium to barley root elongation in solution culture, Plos one 9(8): e105174. doi:10.1371/journal.pone.0105174.10.1371/journal.pone.0105174

[23] Thakali, S., Allen, H.E., Di Toro, D.M., Ponizovsky, A.A., Rodney, C.P., Zhao, F.J., and McGrath, S.P., 2006a, A terrestrial biotic ligand model. 1. Development and application to Cu and Ni toxicities to barley root elongation in soils, Environ. Sci. Technol., 40, 7085-7093.10.1021/es061171s

[24] Thakali, S., Allen, H.E., Di Toro, D.M., Ponizovsky, A.A., Rodney, C.P., Zhao, F.J., McGrath, S.P., Criel, P., Eeckout, H.V., Janssen, C.R., Oorts, K., and Smolders, E., 2006b, Terrestrial biotic ligand model. 2. Application to Ni and Cu toxicities to plants, invertebrates, and microbes in soil, Environ. Sci. Technol., 40, 7094-7100.10.1021/es061173c

[25] Wang, X., Ma, Y., Hua, L., and McLaughlin, M.J., 2009, Identification of hydroxyl copper toxicity to barley (Hordeum vulgare) root elongation in solution culture, Environ. Toxicol. Chem., 28, 662-667.10.1897/07-641.1

[26] Wang, X., Hua, L., and Ma, Y., 2012, A biotic ligand model predicting acute copper toxicity for barley (Hordeum vulgare): Influence of calcium, magnesium, sodium, potassium and pH, Chemosphere, 89, 89-95.10.1016/j.chemosphere.2012.04.022

[27] Yu, G., An, J., Jeong, B., and Nam, K., 2017, Effect of environmental factors on the determination of the ecotoxicological threshold concentration of Cu in soil porewater through biotic ligand model and species sensitivity distribution, J. Soil Groundw. Environ., 22(1), 49-58.

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