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作 者:刘超[1] 林文锋 程树军[1] Liu Chao;Lin Wen-feng;Cheng Shu-jun(Guangdong Inspection and Quarantine Technology Center,Guangdong Guangzhou510623)
出 处:《生物化工》2018年第1期50-55,共6页Biological Chemical Engineering
基 金:广东省科技计划农业公关项目"基于体外毒理学模式的农产品低残留危害物风险评估与应用"(2012BO20316003)
摘 要:农药健康及环境风险评估的不确定性,主要是由于缺乏关于母体化合物吸收、分布、代谢、降解的实验数据。考虑到动物福利和成本效益等因素,充分利用计算机模型和体外测试等替代方法进行预测是一条可行的途径。本文研究在多菌灵的毒性评估中,利用非生物测试法模拟和预测了微生物和哺乳动物的代谢途径和代谢产物;识别生物转化产生的代谢物;深入了解了模拟代谢反应和代谢反应发生的可能性机制。结果表明,基于算法的专家系统可以作为农药评估的一种方法,在进一步提高其稳健性后,有希望用于法规目的。The uncertainty of pesticide health and environmental risk assessm ent is mainly due to the lack ofexperimentaldata on the absorption, distribution,metabolism and degradation of the parent compound. Taking into account factors such asanimalwelfare and cost-effectiveness, itisa viable approach tomake full use ofcomputermodels and alternative methods of in vitro testing. In the carbendazim toxicity assessment, non bioassaymethods are used to model and predictmetabolic pathways and metabolites ofmicroorganisms and mammals; to identify metabolites produced by bioconversion; to gain insight into the possibility of mimickingmetabolic and metabolic reactionsmechanism. The conclusion is that the algorithm based expert system can be used as a method for evaluating pesticides and hopefully for regulatory purposes after further improving its robustness.
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