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

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 (R<sup>2</sup> = 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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Publication Details

Journal
Journal of Separation Science
Published
2024-12-30
DOI
https://doi.org/10.1002/jssc.70066
Citations
7
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
1.46

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article

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

Chen Fan, Yaqi Yin, Yuwei Shan, Linru Cheng
7 citations
Journal of Separation Science
Electrochemical sensors and biosensors
1.46
article

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

Chen Fan, Yaqi Yin, Yuwei Shan, Linru Cheng
article en
7 citations

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 (R<sup>2</sup> = 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.

Journal of Separation ScienceVol. 48(1)
Beijing Technology and Business University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 17%
Electrochemical sensors and biosensors
1.46
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