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一种新的实验室方法,用于研究叶片质地对可脱落叶面残留农药(DFR)的影响。

A new laboratory method to study the impact of leaf texture on pesticide dislodgeable foliar residues (DFR).

机构信息

Department of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK.

Department of Product Safety, Syngenta Jealott's Hill International Research Centre, Bracknell, UK.

出版信息

J Environ Sci Health B. 2023;58(8):555-564. doi: 10.1080/03601234.2023.2236914. Epub 2023 Aug 10.

Abstract

Pesticides are vital in meeting the challenge of feeding the rapidly increasing world population. However, it is crucial that they are used in a way that does not compromise the safety of humans or the environment. Non-dietary worker risk assessments consider the amount of residue which can be transferred from plant foliage to the skin or clothes, known as dislodgeable foliar residues (DFRs). DFR data scarcity due to the costly and seasonal characteristics of DFR studies is an obstacle to the extrapolation of DFR data to different crops/leaves. This paper validates a new proof-of-concept technique to investigate factors that may affect DFR (leaf texture) using the fungicide difenoconazole EC 10% as an example on various leaves (i.e., French bean, soybean, tomato, oilseed rape, and wheat). DFR was the lowest in the case of oilseed rape (31.0 ± 3.4%) and the highest in French beans (82.0 ± 2.9%). This significant difference in DFR in the findings of this study sheds light on the importance of the leaf surface as a major factor affecting DFR and supports the application of the laboratory method for more extensive data generation. More data generation would enable the extrapolation saving money and resources.

摘要

农药对于应对全球人口快速增长带来的粮食供应挑战至关重要。然而,重要的是,农药的使用方式不能危及人类或环境的安全。非饮食性工人风险评估考虑了从植物叶片转移到皮肤或衣服上的残留量,即可洗脱叶部残留量(DFR)。由于 DFR 研究具有成本高和季节性的特点,DFR 数据的稀缺性成为将 DFR 数据外推到不同作物/叶片的障碍。本文验证了一种新的概念验证技术,以研究可能影响 DFR(叶片质地)的因素,以杀菌剂三唑酮 EC 10%为例,在各种叶片(即菜豆、大豆、番茄、油菜和小麦)上进行研究。在本研究中,发现油菜籽上的 DFR 最低(31.0±3.4%),菜豆上的 DFR 最高(82.0±2.9%)。在本研究结果中,DFR 存在显著差异,这表明叶片表面是影响 DFR 的一个主要因素,支持将实验室方法应用于更广泛的数据生成。更多的数据生成将能够节省资金和资源,从而实现外推。

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