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Extended biotic ligand model for predicting combined Cu-Zn toxicity to wheat (Triticum aestivum L.): Incorporating the effects of concentration ratio, major cations and pH.
Environ Pollut. 2017 Nov; 230:210-217.EP

Abstract

Current risk assessment models for metals such as the biotic ligand model (BLM) are usually applied to individual metals, yet toxic metals are rarely found singly in the environment. In the present research, the toxicity of Cu and Zn alone and together were studied in wheat (Triticum aestivum L.) using different Ca2+ and Mg2+ concentrations, pH levels and Zn:Cu concentration ratios. The aim of the study was to better understand the toxicity effects of these two metals using BLMs and toxic units (TUs) from single and combined metal toxicity data. The results of single-metal toxicity tests showed that toxicity of Cu and Zn tended to decrease with increasing Ca2+ or Mg2+ concentrations, and that the effects of pH on Cu and Zn toxicity were related not only to free Cu2+ and Zn2+ activity, respectively, but also to other inorganic metal complex species. For the metal mixture, Cu-Zn interactions based on free ion activities were primarily additive for the different Ca2+ and Mg2+ concentrations and levels of pH. The toxicity data of individual metals derived by the BLM, which incorporated Ca2+ and Mg2+ competition and toxicity of inorganic metal complexes in a single-metal toxicity assessment, could predict the combined toxicity as a function of TU. There was good performance between the predicted and observed effects (root mean square error [RMSE] = 7.15, R2 = 0.97) compared to that using a TU method with a model based on free ion activity (RMSE = 14.29, R2 = 0.86). The overall findings indicated that bioavailability models that include those biochemistry processes may accurately predict the toxicity of metal mixtures.

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Authors+Show Affiliations

Wang X
The Key Lab of Resource Environment and GIS, College of Resource Environment and Tourism, Capital Normal University, 105 North Road of Xisanhuan, Beijing 100048, China.
Ji D
The Key Lab of Resource Environment and GIS, College of Resource Environment and Tourism, Capital Normal University, 105 North Road of Xisanhuan, Beijing 100048, China.
Chen X
The Key Lab of Resource Environment and GIS, College of Resource Environment and Tourism, Capital Normal University, 105 North Road of Xisanhuan, Beijing 100048, China.
Ma Y
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Southern Street of Zhongguancun, Beijing 100081, China; School of Resources and Environment, University of Jinan, Jinan, Shandong 250022, China. Electronic address: ybma@caas.ac.cn.
Yang J
Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Ma J
No affiliation info available
Li X
The Key Lab of Resource Environment and GIS, College of Resource Environment and Tourism, Capital Normal University, 105 North Road of Xisanhuan, Beijing 100048, China.

MeSH

Biological AvailabilityCationsCopperHydrogen-Ion ConcentrationLigandsMetalsSoil PollutantsToxicity TestsTriticumZinc

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28688297

Citation

Wang, Xuedong, et al. "Extended Biotic Ligand Model for Predicting Combined Cu-Zn Toxicity to Wheat (Triticum Aestivum L.): Incorporating the Effects of Concentration Ratio, Major Cations and PH." Environmental Pollution (Barking, Essex : 1987), vol. 230, 2017, pp. 210-217.
Wang X, Ji D, Chen X, et al. Extended biotic ligand model for predicting combined Cu-Zn toxicity to wheat (Triticum aestivum L.): Incorporating the effects of concentration ratio, major cations and pH. Environ Pollut. 2017;230:210-217.
Wang, X., Ji, D., Chen, X., Ma, Y., Yang, J., Ma, J., & Li, X. (2017). Extended biotic ligand model for predicting combined Cu-Zn toxicity to wheat (Triticum aestivum L.): Incorporating the effects of concentration ratio, major cations and pH. Environmental Pollution (Barking, Essex : 1987), 230, 210-217. https://doi.org/10.1016/j.envpol.2017.06.037
Wang X, et al. Extended Biotic Ligand Model for Predicting Combined Cu-Zn Toxicity to Wheat (Triticum Aestivum L.): Incorporating the Effects of Concentration Ratio, Major Cations and PH. Environ Pollut. 2017;230:210-217. PubMed PMID: 28688297.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Extended biotic ligand model for predicting combined Cu-Zn toxicity to wheat (Triticum aestivum L.): Incorporating the effects of concentration ratio, major cations and pH. AU - Wang,Xuedong, AU - Ji,Dongxue, AU - Chen,Xiaolin, AU - Ma,Yibing, AU - Yang,Junxing, AU - Ma,Jingxing, AU - Li,Xiaoxiu, Y1 - 2017/07/05/ PY - 2016/12/11/received PY - 2017/05/19/revised PY - 2017/06/13/accepted PY - 2017/7/9/pubmed PY - 2017/12/23/medline PY - 2017/7/9/entrez KW - Biotic ligand model KW - Combined toxicity KW - Metal KW - Plant KW - Toxic unit SP - 210 EP - 217 JF - Environmental pollution (Barking, Essex : 1987) JO - Environ Pollut VL - 230 N2 - Current risk assessment models for metals such as the biotic ligand model (BLM) are usually applied to individual metals, yet toxic metals are rarely found singly in the environment. In the present research, the toxicity of Cu and Zn alone and together were studied in wheat (Triticum aestivum L.) using different Ca2+ and Mg2+ concentrations, pH levels and Zn:Cu concentration ratios. The aim of the study was to better understand the toxicity effects of these two metals using BLMs and toxic units (TUs) from single and combined metal toxicity data. The results of single-metal toxicity tests showed that toxicity of Cu and Zn tended to decrease with increasing Ca2+ or Mg2+ concentrations, and that the effects of pH on Cu and Zn toxicity were related not only to free Cu2+ and Zn2+ activity, respectively, but also to other inorganic metal complex species. For the metal mixture, Cu-Zn interactions based on free ion activities were primarily additive for the different Ca2+ and Mg2+ concentrations and levels of pH. The toxicity data of individual metals derived by the BLM, which incorporated Ca2+ and Mg2+ competition and toxicity of inorganic metal complexes in a single-metal toxicity assessment, could predict the combined toxicity as a function of TU. There was good performance between the predicted and observed effects (root mean square error [RMSE] = 7.15, R2 = 0.97) compared to that using a TU method with a model based on free ion activity (RMSE = 14.29, R2 = 0.86). The overall findings indicated that bioavailability models that include those biochemistry processes may accurately predict the toxicity of metal mixtures. SN - 1873-6424 UR - https://www.unboundmedicine.com/medline/citation/28688297/Extended_biotic_ligand_model_for_predicting_combined_Cu_Zn_toxicity_to_wheat__Triticum_aestivum_L__:_Incorporating_the_effects_of_concentration_ratio_major_cations_and_pH_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0269-7491(16)32623-9 DB - PRIME DP - Unbound Medicine ER -