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| Development of predictive models for quantifying the toxicological responses of wheat to arsenic, selenium, and their binary mixtures |
| Received:October 08, 2019 |
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| KeyWord:anionic metal (loid);wheat;acute toxicity;biotic ligand model (BLM);CA/IA model |
| Author Name | Affiliation | E-mail | | LI Jian-qiu | School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Key Laboratory of Original Agro-Environmental Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs/Tianjin Key Laboratory of Agro-Environment and Agro-Product Safety, Agro-Environment Protection Institution, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | | | GONG Bing | School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China | gongbing@sjtu.edu.cn | | JI Jie | School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China | | | ZHOU Zi-chen | Shanghai Yuanyi Investigation and Design Co., Ltd., Shanghai 201203, China | | | QIU Hao | School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Key Laboratory of Original Agro-Environmental Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs/Tianjin Key Laboratory of Agro-Environment and Agro-Product Safety, Agro-Environment Protection Institution, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | |
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| Abstract: |
| To elucidate the mixture toxicity and interactions of As-Se, Triticum aestivum L. was used as the model plant and the solution system as the toxicity test medium. The relative root elongation of wheat was adopted as the toxicological end-point. Toxicity to wheat of As and Se when applied individually and in combination were examined. In addition, a mechanistic based model was developed to predict and evaluate the toxicities and risks of As-Se. Results showed that EC50s(free metal activities at which root elongation was inhibited by 50%) were 2.88 μmol·L-1 and 43.51 μmol·L-1 for As and Se, respectively, indicating that As toxicity was much higher than Se toxicity. In mixture exposures, the presence of As affected the phytotoxicity of Se irrespective of the dose descriptors, and vice versa. Concentration addition and independent action models were used for As-Se mixture toxicity analysis. Both models overestimated the As-Se combined toxicity, indicating that there were strong antagonistic interactions between As and Se. The biotic ligand model(BLM)was developed by incorporating the As-Se interactions for quantifying the mixture toxicity of anionic As and Se. The interactions and toxicities of As-Se mixtures could be well explained and predicted by the BLM(with >90% of toxicity variations explained). Based on cation competition, the derived binding constants for the biotic ligands of wheat logKAsBL and logKSeBL were 3.28 and 1.93, respectively. Our results indicated that the framework of BLM could be extended to predict the toxicities of oxyanions of metal(loid)s, serving as an effective tool for accurate risk assessment of metal (loid) s pollution. |
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