Department of Chemistry, College of Natural and Computational Sciences, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
Department of Chemistry, College of Natural and Computational Sciences, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
Anal Chim Acta. 2025 Jan 2;1333:343400. doi: 10.1016/j.aca.2024.343400. Epub 2024 Nov 6.
The widespread use of pesticides for the protection of fruits has resulted in the presence of pesticide residue levels beyond their limit in fruits. This ensures their transfer to processed products, such as juices, posing a threat to human health. Therefore, an efficient and selective method is required for monitoring pesticide residues in fruit juices. Hence, an effervescence-assisted dispersive liquid-liquid microextraction based on surface floating organic droplets was developed for the simultaneous extraction of five pesticide residues of different classes. An environmentally green low-density organic solvent, 1-undecanol, was used as extraction solvent.
The developed method was optimized and validated for quantitative extraction of multiclass pesticide residues at trace levels from fruit juice samples, including apple, pineapple, guava and orange samples. The method showed good linearity in the range of 0.8-300 ng mL for all pesticide residues with a regression coefficient ranging from 0.9979 to 0.9997 under the optimized conditions. The LOD and LOQ of the method ranged between 0.03 and 0.16 ng mL and 0.11-0.52 ng mL, respectively, indicating the high sensitivity of the proposed method. Repeatability and reproducibility, in terms of %RSD, were obtained in the range of 1.16-5.50 % and 3.12-7.72 %, respectively.
The developed method exhibited acceptable mean recoveries (%R) in the range of 73.77-113.34 % with %RSDs (n = 3) ranging from 1.25 to 7.74 % for all the analytes studied. Therefore, the developed method can be used as a selective, sensitive and efficient extraction method for the extraction of multiclass pesticides from fruit juice samples.
为了保护水果，广泛使用了农药，导致水果中的农药残留水平超过了其限量。这确保了它们会转移到加工产品中，例如果汁，从而对人类健康构成威胁。因此，需要一种高效、选择性的方法来监测果汁中的农药残留。因此，开发了一种基于表面浮式有机液滴的鼓泡辅助分散液-液微萃取方法，用于同时提取五类不同类别的农药残留。使用环境友好的低相对密度有机溶剂十一醇作为萃取溶剂。
对该方法进行了优化和验证，用于从果汁样品中痕量提取五类多类农药残留，包括苹果、菠萝、番石榴和橙子样品。在优化条件下，所有农药残留的线性范围为 0.8-300ng/mL，相关系数范围为 0.9979-0.9997。该方法的检出限和定量限范围分别为 0.03-0.16ng/mL 和 0.11-0.52ng/mL，表明该方法具有较高的灵敏度。重复性和再现性分别以 %RSD 的形式在 1.16-5.50%和 3.12-7.72%的范围内获得。
该方法对所有研究的分析物的平均回收率（%R）在 73.77-113.34%的范围内，具有 1.25-7.74%的 %RSD（n=3）。因此，该方法可作为一种选择性、灵敏、高效的从果汁样品中提取多类农药的方法。
