首页> 外文期刊>Microchemical Journal: Devoted to the Application of Microtechniques in all Branches of Science >Combination of stir bar sorptive extraction-retention time locked gas chromatography-mass spectrometry and automated mass spectral deconvolution for pesticide identification in fruits and vegetables
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Combination of stir bar sorptive extraction-retention time locked gas chromatography-mass spectrometry and automated mass spectral deconvolution for pesticide identification in fruits and vegetables

机译:搅拌棒吸附萃取-保留时间锁定气相色谱-质谱和自动质谱解卷积相结合用于水果和蔬菜中的农药鉴定

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摘要

Fruit and vegetable samples collected at a local market were analyzed using stir bar sorptive extraction (SBSE) followed by thermal desorption, retention time locked (RTL) gas chromatographic separation and full scan mass spectrometric determination. Although the technique is proven to have sufficient extraction efficiency and productivity in pesticide analysis, the full scan chromatograms are loaded with matrix components making qualitative evaluation time consuming and too difficult to be adequate for routine laboratory screening. Identification can be facilitated to a great extent with evaluation methods provided by data evaluation software. Through the comparison of three evaluation methods we found that the mass spectral deconvolution software AMDIS supports most the decision making process, performing best in discovering positive hits and reducing data for supervision, making SBSE suitable for routine applications. (c) 2006 Elsevier B.V. All rights reserved.
机译:使用搅拌棒吸附萃取(SBSE),热脱附,保留时间锁定(RTL)气相色谱分离和全扫描质谱法分析在本地市场上收集的水果和蔬菜样品。尽管已证明该技术在农药分析中具有足够的提取效率和生产率,但全扫描色谱图上装有基质成分,因此定性评估很费时,而且太难于进行常规实验室筛查。数据评估软件提供的评估方法可以在很大程度上促进识别。通过对三种评估方法的比较,我们发现质谱反卷积软件AMDIS支持大多数决策过程,在发现阳性结果和减少监管数据方面表现最佳,从而使SBSE适合常规应用。 (c)2006 Elsevier B.V.保留所有权利。

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