天然深共晶溶剂基基质固相分散-超声辅助提取梨中农药及液相色谱-串联质谱法测定

IF 5.2 Q1 CHEMISTRY, ANALYTICAL
Ana Isabel García-Valcárcel, Esther Miguel, Antonio Martín-Esteban
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引用次数: 0

摘要

近年来,天然深共晶溶剂(NADES)被认为是一种可持续溶剂,能够取代传统的有害有机溶剂,通常用于样品制备。在这方面,本研究对几种NADES进行了评价,以建立基质固相分散-超声辅助提取(MSPD-UAE)方法,用于从梨(果皮和果肉)样品中提取农药(噻虫嗪、噻虫啉、吡虫威、啶虫啉和戊唑唑),并通过液相色谱-串联质谱(LC-MS/MS)进行最终测定。在不同的NADES和分散剂中,氯化胆碱:1,3-丙二醇以1:4的摩尔比与氧化铝复合的NADES和分散剂表现出最好的性能。然后利用响应面法(RSM),基于四因素、三级Box-Behnken设计,优化分散剂用量、NADES体积、超声浴温度和超声持续时间的影响。在最佳条件下,未观察到基质效应,定量回收率为78.5% ~ 120%,相对标准偏差(rsd)小于20%,根据分析物的不同,定量限在4 ~ 10 ng g-1。此外,通过对样品制备分析绿色度指标(AGREEprep)、可持续性样品制备指标(SPMS)和蓝色适用性等级指数(BAGI)指标工具的评价,发现该方法在安全性和环境影响方面优于其他已发表的方法,具有良好的适用性潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Natural deep eutectic solvent-based matrix solid-phase dispersion-ultrasound assisted extraction of pesticides in pears and their determination by liquid chromatography-tandem mass spectrometry

Natural deep eutectic solvent-based matrix solid-phase dispersion-ultrasound assisted extraction of pesticides in pears and their determination by liquid chromatography-tandem mass spectrometry
In recent years, natural deep eutectic solvents (NADES) have been proposed as sustainable solvents capable of replacing the conventional harmful organic solvents typically used in sample preparation. In this regard, in this work, several NADES have been evaluated for the development of a matrix solid phase dispersion - ultrasound-assisted extraction (MSPD-UAE) method for selected pesticides (thiamethoxam, thiacloprid, pirimicarb, acetamiprid and tebuconazole) from pear (peel and pulp) samples and final determination by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Among the different NADES and dispersants tested, the one consisting of choline chloride:1,3-propanediol in a 1:4 molar ratio combined with alumina showed the best performance. The effect of the amount of dispersant, the volume of NADES, the temperature of the ultrasonic bath and the duration of sonication was then optimised using response surface methodology (RSM) based on a four-factor, three-level Box-Behnken design. Under optimal conditions, no matrix effect was observed and quantitative recoveries, ranging from 78.5 to 120 % with relative standard deviations (RSDs) lower than 20 % were obtained, reaching limits of quantification within the range 4–10 ng g-1, depending upon the analyte. In addition, after evaluation by Analytical Greenness Metric for Sample Preparation (AGREEprep), Sample Preparation Metric of Sustainability (SPMS) and Blue Applicability Grade Index (BAGI) metrics tools, the proposed method was found to be superior to other published methods in terms of safety and environmental impact with good applicability potential.
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CiteScore
3.50
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