Schiff Base-UiO66 Composite-based Dispersive Micro Solid-Phase Extraction of Pesticides From Fruit Juices Combined With Dispersive Liquid-Liquid Microextraction Prior to Gas Chromatography-Flame Ionisation Detection

IF 5.4 Q2 CHEMISTRY, ANALYTICAL
Behnam Hosseininezhad, Mahdi Bomorovat, Mahboob Nemati, Mir Ali Farajzadeh, Ramin Atazadeh, Mohammad Reza Afshar Mogaddam
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Abstract

A dispersive micro solid-phase extraction method was introduced using a Schiff base-UiO66 nanocomposite as the adsorbent in the extraction of multi-class pesticide residues in pear, cherry, grape, and apricot juices. The extraction procedure was hyphenated with a liquid-phase microextraction procedure, providing a high preconcentration factor and sensitive detection limit. During the extraction procedure, a small amount of the sorbent was added to the sample solution and dispersed via vortexing. Then, the sorbent particles were separated, and the adsorbed analytes were eluted by an appropriate water-miscible organic solvent, which was subsequently used for the preconcentration of the analytes in the following microextraction step. Gas chromatography-flame ionisation detector was utilised as a determination system. All effective factors were evaluated to obtain their optimum values, and then the method was validated. Low limits of detection (0.13–0.27 ng mL−1) and low limits of quantification (0.43–0.89 ng mL−1), acceptable extraction recoveries (59%–71%), high enrichment factors (295–355) and good relative standard deviations (≤10.1%) were the advantages of the method. Fortunately, application of the method on the studied samples showed that the fruit juices were free of the analytes.

Schiff碱- uio66复合基分散微固相萃取果汁中农药-气相色谱-火焰电离前分散液-液微萃取
以希夫碱- uio66纳米复合材料为吸附剂,采用分散微固相萃取法提取梨、樱桃、葡萄和杏汁中的多类农药残留。萃取工艺与液相微萃取工艺相结合,具有较高的富集系数和灵敏的检出限。在提取过程中,向样品溶液中加入少量吸附剂,并通过涡流分散。然后,将吸附剂颗粒分离,吸附的分析物用合适的水混溶有机溶剂洗脱,然后在接下来的微萃取步骤中用于分析物的预富集。采用气相色谱-火焰电离检测器作为测定系统。对各影响因素进行了评价,得到了其最优值,并对该方法进行了验证。低检出限(0.13 ~ 0.27 ng mL-1)和低定量限(0.43 ~ 0.89 ng mL-1)、可接受的提取回收率(59% ~ 71%)、高富集因子(295 ~ 355)和良好的相对标准偏差(≤10.1%)是该方法的优点。幸运的是,将该方法应用于所研究的样品表明果汁中不含分析物。
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CiteScore
4.60
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