Including the bioconcentration of pesticide metabolites in plant uptake modeling†

IF 4.3 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL
Zijian Li and Peter Fantke
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Abstract

Although several models of pesticide uptake into plants are available, there are few modeling studies on the bioconcentration of metabolites in plants. Ignoring metabolites in plant uptake models can result in an underestimation of the parent compound's overall impacts on human health associated with pesticide residues in harvested food crops. To address this limitation, we offer a metabolite-based plant uptake model to predict the bioconcentration of the parent compound and its metabolites in plants. We used the uptake of glyphosate and its major metabolite (aminomethylphosphonic acid, AMPA) into potato as an example. The analysis of variability revealed that soil properties (affecting the soil sorption coefficient), dissipation half-life in soil, and metabolic half-life in the potato had a significant impact on the simulated AMPA concentration in the potato, indicating that regional variability could be generated in the plant bioconcentration process of metabolites. The proposed model was further compared using the non-metabolite model. The findings of the comparison suggested that the non-metabolite model, which is integrated with the AMPA bioconcentration process, can predict the AMPA concentration in the potato similarly to the proposed model. In conclusion, we provide insight into the bioconcentration process of metabolites in tuber plants from a modeling viewpoint, with some crucial model inputs, such as biotransformation and metabolic rate constants, requiring confirmation in future studies. The modeling demonstration emphasizes that it is relevant to consider bioaccumulation of metabolites, which can propagate further into increased overall residues of harmful compounds, especially in cases where metabolites have higher toxicity effect potency than their respective parent compounds.

Abstract Image

包括植物吸收模型中农药代谢产物的生物富集。
尽管有几种农药在植物中吸收的模型,但很少有关于代谢物在植物中生物富集的模型研究。在植物吸收模型中忽视代谢物可能会低估母体化合物对人类健康的总体影响,这些影响与收获的粮食作物中的农药残留有关。为了解决这一限制,我们提供了一个基于代谢物的植物吸收模型来预测母体化合物及其代谢物在植物中的生物浓度。我们以草甘膦及其主要代谢产物(氨基甲基膦酸,AMPA)在马铃薯中的吸收为例。变异性分析表明,土壤性质(影响土壤吸附系数)、土壤中的耗散半衰期和马铃薯中的代谢半衰期对马铃薯中模拟的AMPA浓度有重大影响,表明在植物代谢物的生物富集过程中可能会产生区域变异。使用非代谢物模型对所提出的模型进行了进一步比较。比较结果表明,与AMPA生物浓缩过程相结合的非代谢产物模型可以预测土豆中AMPA的浓度,类似于所提出的模型。总之,我们从建模的角度深入了解了块茎植物中代谢物的生物富集过程,一些关键的模型输入,如生物转化和代谢速率常数,需要在未来的研究中得到证实。建模论证强调,考虑代谢物的生物累积性是相关的,代谢物可以进一步传播到有害化合物的总残留量增加中,尤其是在代谢物的毒性作用效力高于其各自母体化合物的情况下。
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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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