The mixture toxicity of heavy metals on Photobacterium phosphoreum and its modeling by ion characteristics-based QSAR
The mixture toxicity of heavy metals on Photobacterium phosphoreum and its modeling by ion characteristics-based QSAR
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重金属混合物对发磷光杆菌的毒性及其基于离子特征的QSAR建模
DOI:
10.1371/journal.pone.0226541
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发表时间:
2019-12
期刊:
影响因子:
3.7
通讯作者:
Xiaoming Zou
中科院分区:
文献类型:
--
作者:
Jianjun Zeng;Fen Chen;Mi Li;Ligui Wu;Huan Zhang;Xiaoming Zou
Organisms are frequently exposed to mixtures of heavy metals because of their persistence in the environment. The mixture toxicity of heavy metals should therefore be evaluated to perform a rational environmental risk assessment for organisms. In this study, we determined the inhibition toxicity of five heavy metals (Cu2+, Co2+, Zn2+, Fe3+ and Cr3+) and their binary mixtures to Photobacterium phosphoreum (P. phosphoreum). We obtained the following results: (1) the order of individual toxicity was Zn2+>Cu2+>Co2+>Cr3+>Fe3+, and (2) different combined effects (additive, synergistic and antagonistic) were observed in the binary mixtures of heavy metals, with toxicity unit (TU) values ranging from 0.15 to 3.50. To predict the mixture toxicity of heavy metals, we derived the ion characteristic parameters of heavy metal mixtures and explored the ion-characteristic-based quantitative structure–activity relationship (QSAR) model (R2 = 0.750, Q2 = 0.649). The developed QSAR model indicated that the mixture toxicity of heavy metals is related to the change in ionization potential ((ΔIP)mix), the first hydrolysis constant (log(KOH)mix) and the formation constant value (logKfmix).
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影响因子:
6.8
作者:
Wang Xinghao;Qu Ruijuan;Wei Zhongbo;Yang Xi;Wang Zunyao
通讯作者:
Wang Zunyao
影响因子:
3.3
作者:
S. Magwood;S. George
通讯作者:
S. Magwood;S. George
DOI:
10.1016/s0925-2312(02)00757-9
发表时间:
2002-02
期刊:
Computer Science eJournal
影响因子:
--
作者:
David Eriksson;E. Fransén;Y. Zilberter;A. Lansner
通讯作者:
David Eriksson;E. Fransén;Y. Zilberter;A. Lansner
DOI:
10.1007/978-3-540-74664-5_17
发表时间:
2008
期刊:
--
影响因子:
--
作者:
M. Cleuvers
通讯作者:
M. Cleuvers
影响因子:
8.9
作者:
Lisbeth Schnug;H. P. Leinaas;J. Jensen
通讯作者:
Lisbeth Schnug;H. P. Leinaas;J. Jensen