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葡萄加工过程中十种农药及其一种代谢物的分布模式、去除效果和迁移行为。

Distribution pattern, removal effect, transfer behavior of ten pesticides and one metabolite during the processing of grapes.

机构信息

Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.

出版信息

Food Res Int. 2023 Feb;164:112398. doi: 10.1016/j.foodres.2022.112398. Epub 2022 Dec 28.

DOI:10.1016/j.foodres.2022.112398
PMID:36737981
Abstract

Grapes' growth and processing conditions have various effects on pesticides with different physicochemical properties. Therefore, it is important for the healthy human diet to investigate pesticide residue behavior. To explore the relationship between pesticide residue behavior and physicochemical properties, the distribution of ten pesticides and one metabolite on grape peel and pulp was examined and the results showed that pesticides with low octanol-water partition coefficient (Kow) were more likely to be transferred to the pulp as the harvest interval increases. The removal methods were ranked according to pesticide removal effectiveness as follows: peeling > ozone water washing > tap water washing. Furthermore, the logKow played a key role in pesticide transfer rates during the juicing and winemaking. Notably, drying was the process of increasing pesticide residues. Additionally, the prediction models for the PFs of the pesticides in the juicing and winemaking processes were constructed as PFj = 0.952-0.116logKow (r = 0.886) and PFw = 0.736-0.143logKow (r = 0.959) by stepwise regression analysis. The prediction models recommended that Kow could be used to predict pesticide residues in grape juice and wine, which can predict the effect of pesticide physicochemical properties on PFs.

摘要

葡萄的生长和加工条件对不同理化性质的农药有各种影响。因此,研究农药残留行为对于健康的人类饮食非常重要。为了探讨农药残留行为与理化性质之间的关系,研究了 10 种农药和 1 种代谢物在葡萄皮和果肉中的分布情况,结果表明,随着收获间隔的增加,低辛醇-水分配系数(Kow)的农药更有可能转移到果肉中。根据农药去除效果对去除方法进行了排序,结果如下:去皮>臭氧水清洗>自来水清洗。此外,辛醇-水分配系数(Kow)在榨汁和酿酒过程中的农药转移率中起着关键作用。值得注意的是,干燥是增加农药残留的过程。此外,还通过逐步回归分析构建了农药在榨汁和酿酒过程中的预测模型,PFj=0.952-0.116logKow(r=0.886)和 PFw=0.736-0.143logKow(r=0.959)。推荐的预测模型表明,Kow 可用于预测葡萄汁和葡萄酒中的农药残留,从而可以预测农药理化性质对 PF 的影响。

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