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农药在蜂蜜和蜂蜡中的分布和消耗动力学测定:蜂产品中农药出现和分布的模型。

Pesticide distribution and depletion kinetic determination in honey and beeswax: Model for pesticide occurrence and distribution in beehive products.

机构信息

Department of Food Quality & Safety, Institute for Postharvest and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon Letzion, Israel.

Department of Instrumental Analytic, Bilacon GMbH, Berlin, Germany.

出版信息

PLoS One. 2019 Feb 20;14(2):e0212631. doi: 10.1371/journal.pone.0212631. eCollection 2019.

Abstract

Beehive products such as honey, beeswax and recently pollen have been regarded for many years as appropriate sentinels for environmental pesticide pollutions. However, despite yearly application of hundreds of approved pesticides in agricultural fields, only a minor fraction of these organic compounds were actually detected in honey and beeswax samples. This observation has led us to question the general suitability of beehive products as a sentinel for synthetic organic pesticides applied in the field. The aim of the present study was to experimentally determine the distribution (logarithmic ratio of beeswax to honey pesticide concentration, LogD) and depletion kinetics (half-life) of selected pesticides in honey and beeswax as a measure of the latter matrixes to serve as a pesticide sentinel. The obtained parameters were used to extrapolate to pesticide burden in honey and beeswax samples collected from German and Israeli apiaries. In addition, we aimed to establish a mathematical model, enabling us to predict distribution of selected pesticides between honey to beeswax, by utilizing simple substance descriptors, namely, octanol/water partitioning coefficient, molar weight and Henry coefficient. Based on the present results, it appears that pesticides with LogD values > 1 and half-life in beeswax > 1 day, were likely to accumulate and detected in beeswax samples, and less likely to be found in honey. On the other hand, pesticides with negative LogD values were highly likely to be found in honey and less so in beeswax samples. Finally, pesticides with LogD values between 0-1 were expected to be found in both matrixes. The developed model was successfully applied to predict LogD values, thereby identifying octanol/water partitioning and molar weight as the most prominent substance descriptors, which affect pesticide distribution between honey and beeswax.

摘要

蜂巢产品,如蜂蜜、蜂蜡和最近的花粉,多年来一直被认为是环境中农药污染的合适的哨兵。然而,尽管每年在农业领域使用数百种经过批准的农药,但实际上只有一小部分有机化合物在蜂蜜和蜂蜡样本中被检测到。这一观察结果使我们质疑蜂巢产品作为田间施用的合成有机农药的哨兵的一般适用性。本研究的目的是实验确定选定农药在蜂蜜和蜂蜡中的分布(蜂蜡与蜂蜜农药浓度的对数比,LogD)和消耗动力学(半衰期),作为后者基质作为农药哨兵的指标。获得的参数用于推断从德国和以色列养蜂场采集的蜂蜜和蜂蜡样本中的农药负担。此外,我们旨在建立一个数学模型,使我们能够通过利用简单的物质描述符(辛醇/水分配系数、摩尔质量和亨利系数)来预测选定农药在蜂蜜与蜂蜡之间的分布。基于目前的结果,似乎 LogD 值>1 且在蜂蜡中的半衰期>1 天的农药更有可能在蜂蜡样本中积累和检测到,而在蜂蜜中则不太可能发现。另一方面,LogD 值为负的农药很可能在蜂蜜中发现,而在蜂蜡样本中则不太可能发现。最后,LogD 值在 0-1 之间的农药预计将在两种基质中都被发现。所开发的模型成功地应用于预测 LogD 值,从而确定辛醇/水分配系数和摩尔质量是影响农药在蜂蜜和蜂蜡之间分布的最主要的物质描述符。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65f8/6382162/363c1b8999df/pone.0212631.g001.jpg

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