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The prediction of combined toxicity of Cu-Ni for barley using an extended concentration addition model.
Environ Pollut. 2018 Nov; 242(Pt A):136-142.EP

Abstract

Environment pollution often occurs as an obvious combined effect involving two (or more) elements, and this effect changes with the concentrations of the different elements. The effects on barley root elongation were studied in hydroponic systems to investigate the toxicity of Cu-Ni combined at low doses and at a fixed concentration ratio. For low doses of Cu-Ni, the addition of Ni (<0.5 μM) to Cu significantly decreased Cu toxicity for barley, but the addition of Cu (<0.25 μM) had no significant effect on Ni toxicity. At a fixed concentration ratio, according to the single effective concentration (EC) (barley root elongation inhibitory concentration) values of Cu and Ni, five sets of Cu-Ni fixed ratios were used: ECn(Cu)+ECm(Ni) (n + m = 100) (ECn and ECm indicate toxicity unit value for n% and m% inhibition of barley root length, respectively). The calculated toxicity unit value for 50% inhibition of root length ranged from 0.44 to 0.98 (i.e., <1), indicating a synergistic effect. To consider the interactions between the metal ions, the extended concentration addition model (e-CA) was established by integrating the Cu-Ni interaction into the concentration addition model (CA), and the data of two groups (the low doses of Cu-Ni and at a fixed concentration ratio) were respectively fitted. The e-CA accurately predicted the root length of barley under the Cu-Ni combined action. The correlation coefficient (r) and the root-mean-square error (RMSE) between predicted and observed values were 0.97 and 6.6 (low-dose group) and 0.96 and 8.12 (fixed-ratio group), respectively, and e-CA significantly improved the prediction accuracy compared to the traditional CA model without consideration of the Cu-Ni competition (r = 0.89, RMSE = 14.16). The results provided a theoretical basis for evaluation and remediation of soil contaminated with heavy metal composites.

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Publisher Full Text (DOI)

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.
Meng 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. Electronic address: mayibing@caas.cn.
Pu 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.
Zhong 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; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Southern Street of Zhongguancun, Beijing 100081, China.

MeSH

CopperHordeumHydroponicsIonsMetalsNickelPlant RootsSoilSoil Pollutants

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29966837

Citation

Wang, Xuedong, et al. "The Prediction of Combined Toxicity of Cu-Ni for Barley Using an Extended Concentration Addition Model." Environmental Pollution (Barking, Essex : 1987), vol. 242, no. Pt A, 2018, pp. 136-142.
Wang X, Meng X, Ma Y, et al. The prediction of combined toxicity of Cu-Ni for barley using an extended concentration addition model. Environ Pollut. 2018;242(Pt A):136-142.
Wang, X., Meng, X., Ma, Y., Pu, X., & Zhong, X. (2018). The prediction of combined toxicity of Cu-Ni for barley using an extended concentration addition model. Environmental Pollution (Barking, Essex : 1987), 242(Pt A), 136-142. https://doi.org/10.1016/j.envpol.2018.06.070
Wang X, et al. The Prediction of Combined Toxicity of Cu-Ni for Barley Using an Extended Concentration Addition Model. Environ Pollut. 2018;242(Pt A):136-142. PubMed PMID: 29966837.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The prediction of combined toxicity of Cu-Ni for barley using an extended concentration addition model. AU - Wang,Xuedong, AU - Meng,Xiaoqi, AU - Ma,Yibing, AU - Pu,Xiao, AU - Zhong,Xu, Y1 - 2018/06/26/ PY - 2018/04/13/received PY - 2018/06/02/revised PY - 2018/06/21/accepted PY - 2018/7/4/pubmed PY - 2018/10/20/medline PY - 2018/7/4/entrez KW - Combined toxicity KW - Concentration addition model KW - Copper KW - Nickel KW - Toxic unit method SP - 136 EP - 142 JF - Environmental pollution (Barking, Essex : 1987) JO - Environ Pollut VL - 242 IS - Pt A N2 - Environment pollution often occurs as an obvious combined effect involving two (or more) elements, and this effect changes with the concentrations of the different elements. The effects on barley root elongation were studied in hydroponic systems to investigate the toxicity of Cu-Ni combined at low doses and at a fixed concentration ratio. For low doses of Cu-Ni, the addition of Ni (<0.5 μM) to Cu significantly decreased Cu toxicity for barley, but the addition of Cu (<0.25 μM) had no significant effect on Ni toxicity. At a fixed concentration ratio, according to the single effective concentration (EC) (barley root elongation inhibitory concentration) values of Cu and Ni, five sets of Cu-Ni fixed ratios were used: ECn(Cu)+ECm(Ni) (n + m = 100) (ECn and ECm indicate toxicity unit value for n% and m% inhibition of barley root length, respectively). The calculated toxicity unit value for 50% inhibition of root length ranged from 0.44 to 0.98 (i.e., <1), indicating a synergistic effect. To consider the interactions between the metal ions, the extended concentration addition model (e-CA) was established by integrating the Cu-Ni interaction into the concentration addition model (CA), and the data of two groups (the low doses of Cu-Ni and at a fixed concentration ratio) were respectively fitted. The e-CA accurately predicted the root length of barley under the Cu-Ni combined action. The correlation coefficient (r) and the root-mean-square error (RMSE) between predicted and observed values were 0.97 and 6.6 (low-dose group) and 0.96 and 8.12 (fixed-ratio group), respectively, and e-CA significantly improved the prediction accuracy compared to the traditional CA model without consideration of the Cu-Ni competition (r = 0.89, RMSE = 14.16). The results provided a theoretical basis for evaluation and remediation of soil contaminated with heavy metal composites. SN - 1873-6424 UR - https://www.unboundmedicine.com/medline/citation/29966837/The_prediction_of_combined_toxicity_of_Cu_Ni_for_barley_using_an_extended_concentration_addition_model_ DB - PRIME DP - Unbound Medicine ER -