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采用快速多插头过滤净化法测定葡萄酒中72种农药残留,随后用气相色谱串联质谱法进行检测。

Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry.

作者信息

Liu Shaowen, Bai Aijuan, Song Le, Zou Nan, Han Yongtao, Zhou Li, Yu Chuanshan, Li Changjun, Pan Canping

机构信息

Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.

Hunan Institute of Agricultural Environment and Ecology, Changsha 410125, China.

出版信息

Foods. 2021 Nov 8;10(11):2731. doi: 10.3390/foods10112731.

Abstract

A convenient and fast multi-residue method for the efficient identification and quantification of 72 pesticides belonging to different chemical classes in red and white grape wines has been developed. The analysis was based on gas chromatography tandem quadrupole mass spectrometric determination (GC-MS/MS). The optimization strategy involved the selection of the amount of multi-walled carbon nanotubes (MWCNTs) and the number of cleanup procedure cycles for multi-plug filtration cleanup (m-PFC) to achieve ideal recoveries and reduce the sample matrix compounds in the final extracts. The optimized procedure obtained consistent recoveries between 70.2 and 108.8% (70.2 and 108.8% for white wine, and 72.3 and 108.4% for red wine), with relative standard deviations (RSDs) that were generally lower than 9.2% at the three spiking levels of 0.01, 0.05 and 0.1 mg/kg. The linearity was studied in the range between 0.002 and 0.1 mg/kg using pesticide standards prepared both in pure solvent and in the presence of the matrix, showing coefficients of determination (R) higher than 0.9495 for all the pesticides. To improve accuracy, matrix-matched calibration curves were used for calculating the quantification results. Finally, the method was used successfully for detecting pesticide residues in commercial grape wines.

摘要

已开发出一种便捷快速的多残留方法,用于高效鉴定和定量红葡萄酒和白葡萄酒中属于不同化学类别的72种农药。该分析基于气相色谱串联四极杆质谱测定法(GC-MS/MS)。优化策略包括选择多壁碳纳米管(MWCNTs)的用量以及多塞过滤净化(m-PFC)净化程序的循环次数,以实现理想的回收率并减少最终提取物中的样品基质化合物。优化后的程序在0.01、0.05和0.1 mg/kg三个加标水平下获得了70.2%至108.8%的一致回收率(白葡萄酒为70.2%至108.8%,红葡萄酒为72.3%至108.4%),相对标准偏差(RSD)通常低于9.2%。使用在纯溶剂和基质存在下制备的农药标准品,在0.002至0.1 mg/kg范围内研究线性,所有农药的测定系数(R)均高于0.9495。为提高准确性,使用基质匹配校准曲线计算定量结果。最后,该方法成功用于检测市售葡萄酒中的农药残留。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdcd/8623294/5006fe4680f6/foods-10-02731-g001.jpg

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