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基于分数因子设计的微波辅助萃取-气相色谱-质谱法测定烟草中的有机磷和有机氯残留量

Fractional factorial design based microwave-assisted extraction for the determination of organophosphorus and organochlorine residues in tobacco by using gas chromatography-mass spectrometry.

作者信息

Hao Ling, Li Haifang, Lin Jin-Ming

机构信息

Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing, P.R. China.

School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.

出版信息

J Sep Sci. 2017 Jan;40(2):542-549. doi: 10.1002/jssc.201600706. Epub 2016 Dec 20.

DOI:10.1002/jssc.201600706
PMID:27863003
Abstract

Sample preparation is often the main bottleneck in analyzing biological samples. Particularly, effective evaluation of sample preparation conditions usually involves multiple factors and tedious and time-consuming experiments. In this study, fractional factorial design, specifically orthogonal array testing, was employed to screen and optimize multiple extraction parameters in concise but representative experiments. An efficient and sensitive method was developed to determine organophosphorus and organochlorine pesticide residues in tobacco, via microwave-assisted extraction and gas chromatography coupled with mass spectrometry detection. With orthogonal array design, screening, and optimization tests were subsequently conducted to determine the range, impact rank, and possible interactions of extraction temperature, time, microwave power, additive salt, and additive water. Orthogonal array testing selectively reduces the size and cost of experiments and meanwhile provides more information compared to the traditional experimental design that optimizes one factor at a time. A good linear range (0.02-2.00 μg/mL), limits of detection (0.001-0.098 μg/mL), and recovery rates (70.4-107.1%) were demonstrated by spiking known concentrations of multiple pesticide standards in tobacco samples. The established method was then successfully applied to the determination of multipesticide residues in raw tobacco leaves and commercial cigarettes.

摘要

样品制备往往是分析生物样品的主要瓶颈。特别是,对样品制备条件进行有效评估通常涉及多个因素以及繁琐且耗时的实验。在本研究中,采用分数析因设计,具体为正交试验设计,在简洁但具有代表性的实验中筛选和优化多个提取参数。通过微波辅助萃取以及气相色谱 - 质谱联用检测,开发了一种高效且灵敏的方法来测定烟草中的有机磷和有机氯农药残留。利用正交试验设计,随后进行了筛选和优化试验,以确定提取温度、时间、微波功率、添加盐和添加水的范围、影响程度以及可能的相互作用。与一次仅优化一个因素的传统实验设计相比,正交试验设计选择性地减小了实验规模和成本,同时提供了更多信息。通过在烟草样品中添加已知浓度的多种农药标准品,展示了良好的线性范围(0.02 - 2.00 μg/mL)、检测限(0.001 - 0.098 μg/mL)和回收率(70.4 - 107.1%)。所建立的方法随后成功应用于生烟叶和商业卷烟中多种农药残留的测定。

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