Effervescence-assisted dispersive liquid-liquid microextraction for the extraction and preconcentration of pesticide residues in fruit juice samples

IF 5.7 2区 化学 Q1 CHEMISTRY, ANALYTICAL Analytica Chimica Acta Pub Date : 2024-11-06 DOI:10.1016/j.aca.2024.343400
Abi Legesse, Negussie Megersa, Bhagwan Singh Chandravanshi
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Abstract

Background

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.

Results

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−1 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−1 and 0.11–0.52 ng mL−1, 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.

Significance

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.

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用于提取和预浓缩果汁样品中农药残留的发泡辅助分散液液微萃取法
背景为保护水果而广泛使用杀虫剂,导致水果中的杀虫剂残留水平超过了其极限。这确保了它们转移到果汁等加工产品中,对人类健康构成威胁。因此,需要一种高效且具有选择性的方法来监测果汁中的农药残留。因此,本研究开发了一种基于浮动有机液滴固化的泡腾法辅助分散液液微萃取方法,用于同时萃取五种不同类别的农药残留。萃取溶剂为绿色环保的低密度有机溶剂 1-十一醇。(94)结果所建立的方法对果汁样品(包括苹果、菠萝、番石榴和橙子样品)中痕量多类农药残留的定量萃取进行了优化和验证。在优化条件下,所有农药残留在 0.8 至 300 ng mL-1 范围内线性关系良好,回归系数为 0.9979 至 0.9997。方法的检出限和定量限分别为0.03~0.16 ng mL-1 和0.11~0.52 ng mL-1,表明该方法的灵敏度较高。方法的重复性和重现性分别为1.16%~5.50%和3.12%~7.72%。(101) 重要意义所建立的方法在 73.77-113.34% 的平均回收率(%R)和 1.25-7.74% 的%RSD(n=3)范围内对所有研究的分析物均显示了可接受的平均回收率(%R)。因此,所建立的方法可作为一种选择性强、灵敏度高且高效的萃取方法用于果汁样品中多类农药的萃取。(52)
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来源期刊
Analytica Chimica Acta
Analytica Chimica Acta 化学-分析化学
CiteScore
10.40
自引率
6.50%
发文量
1081
审稿时长
38 days
期刊介绍: Analytica Chimica Acta has an open access mirror journal Analytica Chimica Acta: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. Analytica Chimica Acta provides a forum for the rapid publication of original research, and critical, comprehensive reviews dealing with all aspects of fundamental and applied modern analytical chemistry. The journal welcomes the submission of research papers which report studies concerning the development of new and significant analytical methodologies. In determining the suitability of submitted articles for publication, particular scrutiny will be placed on the degree of novelty and impact of the research and the extent to which it adds to the existing body of knowledge in analytical chemistry.
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