Suppr超能文献

采用衍生化和改良的QuEChERS方法结合超高效液相色谱-串联质谱法测定水果中的代森锰锌残留量。

Determination of mancozeb residue in fruit by derivatization and a modified QuEChERS method using ultraperformance liquid chromatography-tandem mass spectrometry.

作者信息

Xu Guofeng, Nie Jiyun, Li Haifei, Yan Zhen, Cheng Yang

机构信息

Laboratory of Quality & Safety Risk Assessment for Fruit (Xingcheng), Ministry of Agriculture, Research Institute of Pomology of CAAS, 98 Xinghai South Street, Xingcheng, Liaoning, 125100, China.

出版信息

Anal Bioanal Chem. 2017 Aug;409(21):5057-5063. doi: 10.1007/s00216-017-0451-2. Epub 2017 Jun 29.

Abstract

A liquid chromatography-tandem mass spectrometry method with derivatization and a modified quick, easy, cheap, effective, rugged, and safe (QuEChERS) sample preparation was developed for the determination of mancozeb in fruits. The target compound was determined in less than 4.0 min with use of an electrospray ionization source in positive mode. The limits of detection and the limits of quantification ranged from 1.0 to 3.2 μg kg and from 10 to 15 μg kg in fruit respectively. The linearity was excellent for mancozeb (R  ≥ 0.9920). Recoveries in five matrices were obtained at three spiking levels (0.02, 0.1, and 1 mg kg). For all concentrations, the mean recoveries ranged from 84.0% to 95.9%, with repeatability relative standard deviation (n = 5) of 0.6 - 7.0%. The interday reproducibility relative standard deviation (n = 3) ranged from 1.4% to 5.5%. This method could be used for the routine detection of mancozeb residues in fruit. Graphical abstract The derivation of mancozeb and the detection process of derivative product by UPLC-MS/MS.

摘要

建立了一种带有衍生化的液相色谱-串联质谱法以及改进的快速、简便、廉价、高效、耐用和安全(QuEChERS)样品前处理方法,用于测定水果中的代森锰锌。使用电喷雾电离源正模式,在不到4.0分钟内测定目标化合物。水果中代森锰锌的检测限和定量限分别为1.0至3.2μg/kg和10至15μg/kg。代森锰锌的线性关系良好(R≥0.9920)。在三种加标水平(0.02、0.1和1mg/kg)下获得了五种基质中的回收率。对于所有浓度,平均回收率为84.0%至95.9%,重复性相对标准偏差(n = 5)为0.6%-7.0%。日间重现性相对标准偏差(n = 3)为1.4%至5.5%。该方法可用于水果中代森锰锌残留的常规检测。图形摘要代森锰锌的衍生化及衍生产物的超高效液相色谱-串联质谱检测过程。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验