Department of Applied Bioscience, Dong-A University, Busan 49315, South Korea.
Department of Applied Bioscience, Dong-A University, Busan 49315, South Korea; Residual Agrochemical Assessment Division, National Institute of Agricultural Sciences, Wanju 55365, South Korea.
Ecotoxicol Environ Saf. 2024 Oct 15;285:117075. doi: 10.1016/j.ecoenv.2024.117075. Epub 2024 Sep 20.
Off-target pesticide drift in paddy fields following unmanned aerial vehicle (UAV) spraying was evaluated using cellulose deposition samplers (CDSs). An analytical method for quantifying ferimzone Z and E isomers deposited on CDSs was developed using LC-MS/MS. The suitability of the CDS method was confirmed by comparing deposition patterns on CDSs with residue levels in rice plant samples. To assess pesticide deposition in paddy fields, CDSs were strategically placed at varying distances from target areas, followed by UAV spraying. The fungicide agrochemicals were applied with and without adjuvants, and wind direction affected the drift trajectory for all treatment groups. Adjuvants, particularly soy lecithin as the major component, significantly enhanced pesticide deposition within the spray pathway while reducing drift rates relatively by 47.9-68.0 %. Higher wind speeds were found to exacerbate drift, but adjuvant-treated sprays showed less variability in deposition patterns under these conditions. Pesticide residues in harvested brown rice were found to be below the maximum residue limits (MRLs), ensuring safety for consumption. These findings highlight the importance of selecting appropriate adjuvants in UAV-based pesticide applications to optimize deposition efficiency and minimize environmental contamination.
采用纤维素沉积采样器（CDS）评估了田间无人飞行器（UAV）喷雾后农药的非靶标漂移情况。建立了一种使用 LC-MS/MS 定量测定 CDS 上沉积的 Ferimzone Z 和 E 异构体的分析方法。通过比较 CDS 上的沉积模式与水稻植株样品中的残留水平，验证了 CDS 方法的适用性。为了评估稻田中的农药沉积情况，将 CDS 战略性地放置在距靶区不同距离的位置，然后进行 UAV 喷雾。在有风的情况下，所有处理组的农药都添加了助剂或不添加助剂进行了喷雾，风向影响了漂移轨迹。助剂，特别是大豆卵磷脂作为主要成分，显著提高了喷雾路径内的农药沉积量，同时相对减少了 47.9-68.0%的漂移率。发现较高的风速会加剧漂移，但在这些条件下，添加助剂的喷雾沉积模式变化较小。收获的糙米中的农药残留量低于最大残留限量（MRLs），确保了食用安全。这些发现强调了在基于 UAV 的农药应用中选择适当助剂的重要性，以优化沉积效率并最小化环境污染。
