基于特性参数k·ECx和均分射线法的二元混合物联合毒性研究
Combined Toxicity of Binary Mixtures Based on Characteristic Parameter k·ECx and Direct Equipartition Ray Design
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摘要: 混合物的联合毒性评估是环境安全领域研究热点。前期研究发现,特性参数k·ECx可以预测二元混合物(等毒性配比)的联合毒性。本研究进一步探明k·ECx在不同浓度比二元混合物中的预测能力。本研究以盐酸苯海拉明(diphenhydramine hydrochloride, DPH)、氯霉素(chloramphenicol, CAP)、多黏菌B硫酸盐(polymyxin B sulfate, PLB)、盐酸四环素(tetracycline hydrochloride, TC)、1-十二烷基-3-甲基咪唑氯盐(1-dodecyl-3-methylimidazolium chloride, IL)及其二元混合物体系DPH-PLB、DPH-IL、DPH-CAP和TC-DPH为研究对象,采用直接均分射线法设计二元混合物,通过微孔板法测定研究对象对费氏弧菌的急性毒性,借助独立作用模型(independent action, IA)和相对模型偏差百分比(relative model deviation ratio, rMDR)评价混合物的联合作用。结果表明,前期二元混合物的分类法具有普遍适用性;不同浓度比二元混合物的联合毒性具有浓度水平和浓度比依赖性。组合DPH-PLB、TC-DPH的参数k·ECx的相对差异(Δ(k·ECx)%)的值域跨度分别为99.78%、61.94%,随着浓度配比的变化,混合物类型发生转变,而DPH-IL和DPH-CAP对应参数的值域跨度为52.37%和39.85%,随着浓度配比的变化,混合物类型未发生转变。简言之,Δ(k·ECx)%的值域跨度较大时,同一体系不同浓度比的二元混合物的类型/联合作用易发生转变,Δ(k·ECx)%的值域跨度较小时,同一体系不同浓度比的二元混合物的类型/联合作用不易发生转变。Abstract: The assessment of the combined toxicity of mixtures is a hotspot in the field of environmental safety. The previous study found that the characteristic parameter k·ECx could predict the joint toxicity of binary mixtures (equal toxic ratios). This study further explored the predictive ability of k·ECx in the binary mixtures with different concentration ratios. Herein, diphenhydramine hydrochloride (DPH), chloramphenicol (CAP), polymyxin B sulfate (PLB), tetracycline hydrochloride (TC), 1-dodecyl-3-methylimidazolium chloride (IL) and their binary mixture systems DPH-PLB, DPH-IL, DPH-CAP and TC-DPH were used as the research objects. The binary mixtures were designed by direct equipartition ray design (EquRay). The acute toxicity of the research object to Aliivibrio fischeri was determined by microplate assay. The joint action of the mixtures was evaluated by the independent action model (IA) and the relative model deviation ratio (rMDR). Results showed that the classification of binary mixtures identified in the previous study was of general applicability. The combined toxicity of binary mixtures with different concentration ratios depended on concentration level and concentration ratio. The range spans of the relative difference of the parameter k·ECx (Δ(k·ECx)%) of DPH-PLB and TC-DPH were 99.78 % and 61.94 %, respectively. With the change of the concentration ratios, the type of mixtures changed. Comparatively, the range spans of the corresponding parameters of DPH-IL and DPH-CAP were only 52.37 % and 39.85 %, respectively, and the type of mixtures did not change with the change of the concentration ratios. In short, the types/joint action of binary mixtures with different concentration ratios in the same system are susceptible to transformation when the Δ(k·ECx)% value range is large but less susceptible to transformation when the Δ(k·ECx)% value range is small.
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Wang Z J, Liu S S, Feng L, et al. BNNmix: A new approach for predicting the mixture toxicity of multiple components based on the back-propagation neural network [J]. The Science of the Total Environment, 2020, 738: 140317 Xu Y Q, Liu S S, Fan Y, et al. Toxicological interaction of multi-component mixtures to Vibrio qinghaiensis sp.-Q67 induced by at least three components [J]. The Science of the Total Environment, 2018, 635: 432-442 Qu R, Xiao K K, Hu J P, et al. Predicting the hormesis and toxicological interaction of mixtures by an improved inverse distance weighted interpolation [J]. Environment International, 2019, 130: 104892 Liu C N, Li G T, Mo L Y, et al. Alteration in concentration-response curves of four N-alkylpyridinium chloride by exposure concentration, time and in their mixtures by uniform design [J]. The Science of the Total Environment, 2020, 712: 136493 Cheng F, Li H Z, Brooks B W, et al. Retrospective risk assessment of chemical mixtures in the big data era: An alternative classification strategy to integrate chemical and toxicological data [J]. Environmental Science & Technology, 2020, 54(10): 5925-5927 Altenburger R, Scholze M, Busch W, et al. Mixture effects in samples of multiple contaminants—An inter-laboratory study with manifold bioassays [J]. Environment International, 2018, 114: 95-106 王娜, 王晓昌, 马晓妍. 化学物质对发光菌的联合毒性评价方法[J]. 环境工程学报, 2014, 8(9): 4040-4046 Wang N, Wang X C, Ma X Y. Method of joint toxicity evaluation of chemicals on luminous bacteria [J]. Chinese Journal of Environmental Engineering, 2014, 8(9): 4040-4046 (in Chinese)
李恺, 刘树深, 屈锐. 组合指数在环境混合物联合毒性研究中的初步应用[J]. 生态毒理学报, 2017, 12(3): 62-71 Li K, Liu S S, Qu R. Application of the combination index in the assessment of combined toxicity of environmental mixture [J]. Asian Journal of Ecotoxicology, 2017, 12(3): 62-71 (in Chinese)
Uwizeyimana H, Wang M E, Chen W P, et al. The eco-toxic effects of pesticide and heavy metal mixtures towards earthworms in soil [J]. Environmental Toxicology and Pharmacology, 2017, 55: 20-29 Loewe S, Muischnek H. Effect of combinations: Mathematical basis of problem [J]. Archiv fur Experimentalle Pathologie und Pharmakologie, 1926, 114: 313-326 Sun H Y, Pan Y Z, Chen X, et al. Regular time-dependent cross-phenomena induced by hormesis: A case study of binary antibacterial mixtures to Aliivibrio fischeri [J]. Ecotoxicology and Environmental Safety, 2020, 187: 109823 Bliss C I. The toxicity of poisons applied jointly [J]. Annals of Applied Biology, 1939, 26: 585-615 刘树深, 刘玲, 陈浮. 浓度加和模型在化学混合物毒性评估中的应用[J]. 化学学报, 2013, 71(10): 1335-1340 Liu S S, Liu L, Chen F. Application of the concentration addition model in the assessment of chemical mixture toxicity [J]. Acta Chimica Sinica, 2013, 71(10): 1335-1340 (in Chinese)
Wang Z J, Liu S S, Huang P, et al. Mixture predicted no-effect concentrations derived by independent action model vs concentration addition model based on different species sensitivity distribution models [J]. Ecotoxicology and Environmental Safety, 2021, 227: 112898 Larsson M, Giesy J P, Engwall M. AhR-mediated activities of polycyclic aromatic compound (PAC) mixtures are predictable by the concept of concentration addition [J]. Environment International, 2014, 73: 94-103 Liu L, Liu S S, Yu M, et al. Concentration addition prediction for a multiple-component mixture containing no effect chemicals [J]. Analytical Methods, 2015, 7(23): 9912-9917 Wang N, Zhang J K, Ma X Y, et al. Study of the joint action of multi-component mixtures based on parameter σ2(k·ECx) characterizing the shape difference of concentration-response curves [J]. Environmental Pollution, 2022, 293: 118486 Huang P, Liu S S, Xu Y Q, et al. Combined lethal toxicities of pesticides with similar structures to Caenorhabditis elegans are not necessarily concentration additives [J]. Environmental Pollution, 2021, 286: 117207 Wang N, Wang X C, Ma X Y. Characteristics of concentration-inhibition curves of individual chemicals and applicability of the concentration addition model for mixture toxicity prediction [J]. Ecotoxicology and Environmental Safety, 2015, 113: 176-182 王娜, 马晓妍, 王晓昌, 等. 基于物质剂量效应曲线形状的联合作用分析[J]. 安全与环境学报, 2018, 18(1): 386-390 Wang N, Ma X Y, Wang X C, et al. Preliminary study on the joint action based on the chemical dose-response curve shape [J]. Journal of Safety and Environment, 2018, 18(1): 386-390 (in Chinese)
Wang N, Sun R R, Ma X Y, et al. Prediction of the joint action of binary mixtures based on characteristic parameter k·ECx from concentration-response curves [J]. Ecotoxicology and Environmental Safety, 2021, 215: 112155 Chen Y H, Qin L T, Mo L Y, et al. Synergetic effects of novel aromatic brominated and chlorinated disinfection byproducts on Vibrio qinghaiensis sp.-Q67 [J]. Environmental Pollution, 2019, 250: 375-385 Wang Y, Liu S S, Huang P, et al. Assessing the combined toxicity of carbamate mixtures as well as organophosphorus mixtures to Caenorhabditis elegans using the locomotion behaviors as endpoints [J]. Science of the Total Environment, 2021, 760: 143378 Cui D N, Mebel A M, Arroyo-Mora L E, et al. Fundamental study of the ultrasonic induced degradation of the popular antihistamine, diphenhydramine (DPH) [J]. Water Research, 2018, 144: 265-273 杨灿, 沈根祥, 胡双庆, 等. 氯霉素对大型溞的急性和慢性毒性效应研究[J]. 生态毒理学报, 2018, 13(5): 248-255 Yang C, Shen G X, Hu S Q, et al. Acute and chronic toxicity of chloramphenicol to Daphnia magna [J]. Asian Journal of Ecotoxicology, 2018, 13(5): 248-255 (in Chinese)
黄晨, 肖永红. 多黏菌素临床应用与困局[J]. 医药导报, 2020, 39(1): 10-16 Huang C, Xiao Y H. Polymyxins: Review on clinical use and dilemma [J]. Herald of Medicine, 2020, 39(1): 10-16 (in Chinese)
张霄, 张静, 闫春晖, 等. CuO@C催化过二硫酸盐降解盐酸四环素研究[J]. 水处理技术, 2019, 45(4): 17-20 , 26 Zhang X, Zhang J, Yan C H, et al. Study on degradation of tetracycline hydrochloride by CuO@C catalyzed persulfate [J]. Technology of Water Treatment, 2019, 45(4): 17-20, 26 (in Chinese)
Hu L X, Xiong Q, Shi W J, et al. New insight into the negative impact of imidazolium-based ionic liquid Cl on Hela cells: From membrane damage to biochemical alterations [J]. Ecotoxicology and Environmental Safety, 2021, 208: 111629 许春燕, 安晓雯, 王乐雪, 等. 发光细菌在环境生物毒性检测中的应用[J]. 辽宁化工, 2018, 47(3): 256-258 Xu C Y, An X W, Wang L X, et al. Application of luminescent bacteria in the detection of environmental biological toxicity [J]. Liaoning Chemical Industry, 2018, 47(3): 256-258 (in Chinese)
游猛. 典型城市污水处理工艺中多种生物毒性检测及水质安全评价[D]. 西安: 西安建筑科技大学, 2017: 4 You M. Multiple biological toxicity assessment and water quality evaluation during typical municipal wastewater treatment process [D]. Xi’an: Xi’an University of Architecture and Technology, 2017: 4 (in Chinese) Dou R N, Liu S S, Mo L Y, et al. A novel direct equipartition ray design (EquRay) procedure for toxicity interaction between ionic liquid and dichlorvos [J]. Environmental Science and Pollution Research International, 2011, 18(5): 734-742 European Committee for Standardization. Water quality—Determination of the inhibitory effect of water samples on the light emission of Vibrio fischeri (Luminescent bacteria test)—Part 3: Method using freeze-dried bacteria (ISO 11348-3: 2007): BS EN ISO11348-3: 2008 [S]. Brussels: European Committee for Standardization, 2008 Kim J, Fischer M, Helms V. Prediction of synergistic toxicity of binary mixtures to Vibrio fischeri based on biomolecular interaction networks [J]. Chemical Research in Toxicology, 2018, 31(11): 1138-1150 Arrhenius Å, Backhaus T, Grönvall F, et al. Effects of three antifouling agents on algal communities and algal reproduction: Mixture toxicity studies with TBT, irgarol, and sea-nine [J]. Archives of Environmental Contamination and Toxicology, 2006, 50(3): 335-345 Arrhenius A, Grönvall F, Scholze M, et al. Predictability of the mixture toxicity of 12 similarly acting congeneric inhibitors of photosystem Ⅱ in marine periphyton and epipsammon communities [J]. Aquatic Toxicology, 2004, 68(4): 351-367 Jonker M J, Svendsen C, Bedaux J J, et al. Significance testing of synergistic/antagonistic, dose level-dependent, or dose ratio-dependent effects in mixture dose-response analysis [J]. Environmental Toxicology and Chemistry, 2005, 24(10): 2701-2713 Wang T, Zhang J, Tao M T, et al. Quantitative characterization of toxicity interaction within antibiotic-heavy metal mixtures on Chlorella pyrenoidosa by a novel area-concentration ratio method [J]. The Science of the Total Environment, 2021, 762: 144180
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