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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
Wang, Xuedong1; Ji, Dongxue1; Chen, Xiaolin1; Ma, Yibing2,3; Yang, Junxing4; Ma, Jingxing; Li, Xiaoxiu1
2017-11-01
Source PublicationENVIRONMENTAL POLLUTION
ISSN0269-7491
Volume230Pages:210-217
Corresponding AuthorMa, Yibing(ybma@caas.ac.cn)
AbstractCurrent 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.
KeywordCombined toxicity Metal Plant Toxic unit Biotic ligand model
DOI10.1016/j.envpol.2017.06.037
WOS KeywordBARLEY ROOT ELONGATION ; MIXTURE TOXICITY ; METAL TOXICITY ; DAPHNIA-MAGNA ; CHEMICAL-MIXTURES ; COPPER TOXICITY ; JOINT TOXICITY ; NATURAL-WATERS ; ZINC ; CADMIUM
Indexed BySCI
Language英语
Funding ProjectBeijing Municipal Commission of Education Foundation[KM201610028012]
Funding OrganizationBeijing Municipal Commission of Education Foundation
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000412250900023
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62214
Collection中国科学院地理科学与资源研究所
Corresponding AuthorMa, Yibing
Affiliation1.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
Recommended Citation
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.
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