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基于混合微生物群落构建用于多污染物联合毒性评估的介导全细胞电化学生物传感器。

Development of a mediated whole cell-based electrochemical biosensor for joint toxicity assessment of multi-pollutants using a mixed microbial consortium.

作者信息

Gao Guanyue, Qian Jun, Fang Deyu, Yu Yuan, Zhi Jinfang

机构信息

Key Laboratory of Photochemical Conversion and Optoelectronic Materials, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.

Key Laboratory of Photochemical Conversion and Optoelectronic Materials, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, PR China.

出版信息

Anal Chim Acta. 2016 Jun 14;924:21-28. doi: 10.1016/j.aca.2016.04.011. Epub 2016 Apr 20.

Abstract

Since most risk assessment for toxicants is based on individual single-species test, the deduction of such results to ecosystem evaluation is afflicted with uncertainties. Herein, we successfully developed a p-benzoquinone mediated whole-cell electrochemical biosensor for multi-pollutants toxicological analysis by co-immobilizing mixed strains of microorganism, including Escherichia coli (gram-negative bacteria), Bacillus subtilis (gram-positive bacteria) and Saccharomyces cerevisiae (fungus). The individual and combined toxicities of heavy metal ions (Cu(2+), Cd(2+)), phenol (3,5-dichlorophenol) and pesticides (Ametryn, Acephate) were examined. The experimental results showed that the order of toxicity for individual toxicant was ranked as Cu(2+) > 3,5-dichlorophenol (DCP) > Ametryn > Cd(2+) > Acephate. Then the toxic unit (TU) model was applied to determine the nature of toxicological interaction of the toxicants which can be classified as concentration additive (IC50mix = 1TU), synergistic (IC50mix < 1TU) and antagonistic (IC50mix > 1TU) responses. The binary combination of Cu(2+) + Cd(2+), Cu(2+) + DCP, Cu(2+) + Acephate, DCP + Acephate, Acephate + Ametryn were analyzed and the three kind of joint toxicity effects (i.e. additive, synergistic and antagonistic) mentioned above were observed according to the dose-response relationship. The results indicate that the whole-cell electrochemical biosensor based on mixed microbial consortium is more reasonable to reflect the joint biotoxicity of multi-pollutants existing in real wastewater, and combined effects of toxicants is extremely necessary to be taken into account in ecological risk assessment. Thus, present study has provided a promising approach to the quality assessment of wastewater and a reliable way for early risk warning of acute biotoxicity.

摘要

由于大多数毒物的风险评估是基于单个物种的测试,因此将此类结果推导至生态系统评估存在不确定性。在此,我们通过共固定包括大肠杆菌(革兰氏阴性菌)、枯草芽孢杆菌(革兰氏阳性菌)和酿酒酵母(真菌)在内的混合微生物菌株,成功开发了一种对苯醌介导的全细胞电化学生物传感器,用于多污染物毒理学分析。检测了重金属离子(Cu(2+)、Cd(2+))、苯酚(3,5-二氯苯酚)和农药(莠灭净、乙酰甲胺磷)的单一毒性和联合毒性。实验结果表明,单一毒物的毒性顺序为Cu(2+) > 3,5-二氯苯酚(DCP)> 莠灭净 > Cd(2+) > 乙酰甲胺磷。然后应用毒性单位(TU)模型来确定毒物毒理学相互作用的性质,其可分为浓度相加(IC50mix = 1TU)、协同(IC50mix < 1TU)和拮抗(IC50mix > 1TU)反应。分析了Cu(2+) + Cd(2+)、Cu(2+) + DCP、Cu(2+) + 乙酰甲胺磷、DCP + 乙酰甲胺磷、乙酰甲胺磷 + 莠灭净的二元组合,并根据剂量-反应关系观察到上述三种联合毒性效应(即相加、协同和拮抗)。结果表明,基于混合微生物群落的全细胞电化学生物传感器更合理地反映了实际废水中存在的多污染物的联合生物毒性,并且在生态风险评估中必须考虑毒物的联合效应。因此,本研究为废水质量评估提供了一种有前景的方法,并为急性生物毒性的早期风险预警提供了可靠途径。

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