{"title":"基于深度共熔溶剂的高通量半自动化分散液液微萃取法测定食用油中新烟碱类农药","authors":"Ziwei Ju, Jiaxuan Fan, Zilin Meng, Runhua Lu, Haixiang Gao, Wenfeng Zhou","doi":"10.1016/j.microc.2022.108193","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, a high-throughput automated pipetting system was innovatively combined with dispersive liquid–liquid microextraction (DLLME). This application automates the sample and solvent addition steps in DLLME and allows simultaneous batch sample processing, thereby, greatly saving labor and time. The use of a deep eutectic solvent (DES) instead of traditional organic solvents as the extractant makes the whole extraction process environmental-friendly. Under optimized conditions, the method exhibits satisfactory extraction performance for all target analytes. The limits of detection for thiamethoxam, imidacloprid, and thiacloprid in the rapeseed oil matrix are 5.8, 2.9, and 2.7 μg L<sup>−1</sup>, respectively. It is worth mentioning that this high-throughput automatic pipetting system can be applied to different types of DLLME. Furthermore, the greenness of the established method is evaluated using the AGREE metric and the results show distinct advantages, such as fast operation, automation, and environmental friendliness, compared to previously published works for the detection of neonicotinoids in edible oils.</p></div>","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A high-throughput semi-automated dispersive liquid–liquid microextraction based on deep eutectic solvent for the determination of neonicotinoid pesticides in edible oils\",\"authors\":\"Ziwei Ju, Jiaxuan Fan, Zilin Meng, Runhua Lu, Haixiang Gao, Wenfeng Zhou\",\"doi\":\"10.1016/j.microc.2022.108193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this study, a high-throughput automated pipetting system was innovatively combined with dispersive liquid–liquid microextraction (DLLME). This application automates the sample and solvent addition steps in DLLME and allows simultaneous batch sample processing, thereby, greatly saving labor and time. The use of a deep eutectic solvent (DES) instead of traditional organic solvents as the extractant makes the whole extraction process environmental-friendly. Under optimized conditions, the method exhibits satisfactory extraction performance for all target analytes. The limits of detection for thiamethoxam, imidacloprid, and thiacloprid in the rapeseed oil matrix are 5.8, 2.9, and 2.7 μg L<sup>−1</sup>, respectively. It is worth mentioning that this high-throughput automatic pipetting system can be applied to different types of DLLME. Furthermore, the greenness of the established method is evaluated using the AGREE metric and the results show distinct advantages, such as fast operation, automation, and environmental friendliness, compared to previously published works for the detection of neonicotinoids in edible oils.</p></div>\",\"PeriodicalId\":4,\"journal\":{\"name\":\"ACS Applied Energy Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Energy Materials\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0026265X22010219\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0026265X22010219","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
A high-throughput semi-automated dispersive liquid–liquid microextraction based on deep eutectic solvent for the determination of neonicotinoid pesticides in edible oils
In this study, a high-throughput automated pipetting system was innovatively combined with dispersive liquid–liquid microextraction (DLLME). This application automates the sample and solvent addition steps in DLLME and allows simultaneous batch sample processing, thereby, greatly saving labor and time. The use of a deep eutectic solvent (DES) instead of traditional organic solvents as the extractant makes the whole extraction process environmental-friendly. Under optimized conditions, the method exhibits satisfactory extraction performance for all target analytes. The limits of detection for thiamethoxam, imidacloprid, and thiacloprid in the rapeseed oil matrix are 5.8, 2.9, and 2.7 μg L−1, respectively. It is worth mentioning that this high-throughput automatic pipetting system can be applied to different types of DLLME. Furthermore, the greenness of the established method is evaluated using the AGREE metric and the results show distinct advantages, such as fast operation, automation, and environmental friendliness, compared to previously published works for the detection of neonicotinoids in edible oils.
期刊介绍：
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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