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

doi:10.1016/j.envpol.2017.06.037

	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
	Wang, Xuedong 1; Ji, Dongxue 1; Chen, Xiaolin 1; Ma, Yibing 2,3; Yang, Junxing 4; Ma, Jingxing ; Li, Xiaoxiu 1
刊名	ENVIRONMENTAL POLLUTION
	2017-11-01
卷号	230 页码:210-217
关键词	Combined toxicity Metal Plant Toxic unit Biotic ligand model
ISSN号	0269-7491
DOI	10.1016/j.envpol.2017.06.037
通讯作者	Ma, Yibing(ybma@caas.ac.cn)
英文摘要	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 Me2+ 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, R-2 = 0.97) compared to that using a TU method with a model based on free ion activity (RMSE = 14.29, R-2 = 0.86). The overall findings indicated that bioavailability models that include those biochemistry processes may accurately predict the toxicity of metal mixtures. (C) 2017 Elsevier Ltd. All rights reserved.
资助项目	Beijing Municipal Commission of Education Foundation[KM201610028012]
WOS关键词	BARLEY ROOT ELONGATION ; MIXTURE TOXICITY ; METAL TOXICITY ; DAPHNIA-MAGNA ; CHEMICAL-MIXTURES ; COPPER TOXICITY ; JOINT TOXICITY ; NATURAL-WATERS ; ZINC ; CADMIUM
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000412250900023
资助机构	Beijing Municipal Commission of Education Foundation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/62213]
专题	中国科学院地理科学与资源研究所
通讯作者	Ma, Yibing
作者单位	1.Capital Normal Univ, Coll Resource Environm & Tourism, Key Lab Resource Environm & GIS, 105 North Rd Xisanhuan, Beijing 100048, Peoples R China 2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, 12 Southern St Zhongguancun, Beijing 100081, Peoples R China 3.Univ Jinan, Sch Resources & Environm, Jinan 250022, Shandong, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Ctr Environm Remediat, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xuedong,Ji, Dongxue,Chen, Xiaolin,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[J]. ENVIRONMENTAL POLLUTION,2017,230:210-217.
APA	Wang, Xuedong.,Ji, Dongxue.,Chen, Xiaolin.,Ma, Yibing.,Yang, Junxing.,...&Li, Xiaoxiu.(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,230,210-217.
MLA	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 230(2017):210-217.