Efficient and Sensitive Detection of Organophosphate Pesticides in Orange Juice Using Dispersed Solid-Phase Extraction Based on Amorphous UiO-66

IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Journal of separation science Pub Date : 2024-12-30 DOI:10.1002/jssc.70066
Yaqi Yin, Chen Fan, Linru Cheng, Yuwei Shan
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Abstract

Organophosphate pesticides can cause long-term neurological damage to humans. There is an urgent need to develop a more sensitive and efficient method for detecting trace amounts of organophosphorus pesticides in orange juice, particularly in the presence of interfering substances. This study developed a dispersive solid-phase extraction (DSPE) method using amorphous UiO-66 (aUiO-66) as an adsorbent for the detection of four organophosphate pesticides (fenthion, profenofos, fensulfothion, and chlorpyrifos) in orange juice. The aUiO-66 was synthesized in a green, direct method within a deep eutectic solvent composed of diethanolamine hydrochloride and acetamide. Its amorphous nature was confirmed through x-ray diffraction (XRD) and thermogravimetric analysis (TGA). Parameters influencing extraction efficiency, including adsorbent dosage, extraction time, eluent type, and volume, were optimized by genetic neural network (GNN). The method demonstrated good linearity (R2 = 0.9927–0.9981), high recovery (95.35%–110.75%), low limit of detection (0.169–0.214 ng L⁻¹), and precision (intraday RSD = 4.13%–5.44%, interday RSD = 3.28%–4.91%). It was successfully applied to analyze targets in commercially available orange juices, detecting residues within 4.37–36.07 µg L⁻¹. This study's methodological development offers significant guidance for efficient detection of organophosphorus pesticides in food products, potentially facilitating the advancement and application of simpler and more efficient analytical techniques.

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基于非晶UiO-66的分散固相萃取高效灵敏检测橙汁中有机磷农药
有机磷农药会对人类的神经系统造成长期损害。迫切需要开发一种更灵敏、更有效的方法来检测橙汁中痕量有机磷农药,特别是在存在干扰物质的情况下。本研究建立了以无定形UiO-66 (audio -66)为吸附剂的分散固相萃取(DSPE)检测橙汁中四种有机磷农药(倍硫磷、异丙磷、磺胺硫磷和毒死蜱)的方法。在由盐酸二乙醇胺和乙酰胺组成的深共晶溶剂中,采用绿色直接法合成了aUiO-66。通过x射线衍射(XRD)和热重分析(TGA)证实了其无定形性质。采用遗传神经网络(GNN)对吸附剂用量、萃取时间、洗脱液种类和体积等影响萃取效率的参数进行优化。该方法线性良好(R2 = 0.9927 ~ 0.9981),回收率高(95.35% ~ 110.75%),检出限低(0.161 ~ 0.214 ng L -毒毒学(RSD)),精密度高(日内RSD = 4.13% ~ 5.44%,日内RSD = 3.28% ~ 4.91%)。它成功地应用于分析市售橙汁中的目标物,检测出4.37-36.07µg L的残留。本研究的方法发展对食品中有机磷农药的高效检测具有重要的指导意义,有可能促进更简单、更高效的分析技术的发展和应用。
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来源期刊
Journal of separation science
Journal of separation science 化学-分析化学
CiteScore
6.30
自引率
16.10%
发文量
408
审稿时长
1.8 months
期刊介绍: The Journal of Separation Science (JSS) is the most comprehensive source in separation science, since it covers all areas of chromatographic and electrophoretic separation methods in theory and practice, both in the analytical and in the preparative mode, solid phase extraction, sample preparation, and related techniques. Manuscripts on methodological or instrumental developments, including detection aspects, in particular mass spectrometry, as well as on innovative applications will also be published. Manuscripts on hyphenation, automation, and miniaturization are particularly welcome. Pre- and post-separation facets of a total analysis may be covered as well as the underlying logic of the development or application of a method.
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