Concentration Addition, Independent Action, and Quantitative Structure-Activity Relationships for Chemical Mixture Toxicities of the Disinfection By products of Haloacetic Acids on the Green Alga Raphidocelis subcapitata

被引：10

作者：

Qin, Li-Tang ^{[1
,2
,3
]}

Liu, Min ^{[1
]}

Zhang, Xin ^{[1
]}

Mo, Ling-Yun ^{[3
,4
]}

Zeng, Hong-Hu ^{[1
,2
,4
]}

Liang, Yan-Peng ^{[1
,2
,4
]}

机构：

[1] Guilin Univ Technol, Coll Environm Sci & Engn, Guilin, Peoples R China

[2] Guilin Univ Technol, Guangxi Key Lab Environm Pollut Control Theory &, Guilin, Peoples R China

[3] Minist Nat Resources, Tech Innovat Ctr Mine Geol Environm Restorat Engn, Guilin, Peoples R China

[4] Guilin Univ Technol, Collaborat Innovat Ctr Water Pollut Control & Wat, Guilin, Peoples R China

来源：

ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY | 2021年 / 40卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Disinfection by products; Haloacetic acids; Mixture toxicity; Quantum descriptors; BY-PRODUCTS; DEVELOPMENTAL TOXICITY; DRINKING-WATER; EXTERNAL VALIDATION; AQUATIC ENVIRONMENT; QSAR MODELS; PREDICTION; QSPR; ERROR; DBPS;

D O I：

10.1002/etc.4995

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The potential toxicity of haloacetic acids (HAAs), common disinfection by products (DBPs), has been widely studied; but their combined effects on freshwater green algae remain poorly understood. The present study was conducted to investigate the toxicological interactions of HAA mixtures in the green alga Raphidocelis subcapitata and predict the DBP mixture toxicities based on concentration addition, independent action, and quantitative structure-activity relationship (QSAR) models. The acute toxicities of 6 HAAs (iodoacetic acid [IAA], bromoacetic acid [BAA], chloroacetic acid [CAA], dichloroacetic acid [DCAA], trichloroacetic acid [TCAA], and tribromoacetic acid [TBAA]) and their 68 binary mixtures to the green algae were analyzed in 96-well microplates. Results reveal that the rank order of the toxicity of individual HAAs is CAA > IAA approximate to BAA > TCAA > DCAA > TBAA. With concentration addition as the reference additive model, the mixture effects are synergetic in 47.1% and antagonistic in 25%, whereas the additive effects are only observed in 27.9% of the experiments. The main components that induce synergism are DCAA, IAA, and BAA; and CAA is the main component that causes antagonism. Prediction by concentration addition and independent action indicates that the 2 models fail to accurately predict 72% mixture toxicity at an effective concentration level of 50%. Modeling the mixtures by QSAR was established by statistically analyzing descriptors for the determination of the relationship between their chemical structures and the negative logarithm of the 50% effective concentration. The additive mixture toxicities are accurately predicted by the QSAR model based on 2 parameters, the octanol-water partition coefficient and the acid dissociation constant (pK(a)). The toxicities of synergetic mixtures can be interpreted with the total energy (E-T) and pK(a) of the mixtures. Dipole moment and E-T are the quantum descriptors that influence the antagonistic mixture toxicity. Therefore, in silico modeling may be a useful tool in predicting disinfection by-product mixture toxicities. Environ Toxicol Chem 2021;00:1-12. (c) 2021 SETAC

引用

页码：1431 / 1442

页数：12