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通过气相色谱 - 全扫描质谱法对全血、尿液和血浆中的药物、毒物及代谢物进行全自动系统毒理学分析。

Fully-automated systematic toxicological analysis of drugs, poisons, and metabolites in whole blood, urine, and plasma by gas chromatography-full scan mass spectrometry.

作者信息

Polettini A, Groppi A, Vignali C, Montagna M

机构信息

Department of Legal Medicine and Public Health, University of Pavia, Italy.

出版信息

J Chromatogr B Biomed Sci Appl. 1998 Aug 21;713(1):265-79. doi: 10.1016/s0378-4347(98)00062-0.

Abstract

The availability of automated, rapid and reliable methods for the systematic toxicological analysis (STA) of drugs and poisons in biosamples is of great importance in clinical and forensic toxicology laboratories. Gas chromatography-continuous scan mass spectrometry (GC-MS) possesses a high potential in STA because of its selectivity and identification power. However, in order to develop a fully automated STA method based on GC-MS two main obstacles have to be overcome: (a) sample preparation is rather sophisticated owing to the need to isolate analytes from the aqueous matrix and to allow a correct GC repartition of polar analytes; (b) the large amount of information collected within a single analysis makes it difficult to isolate relevant analytical information (mass spectra of analytes) from the chemical noise. Using a bench-top GC-MS system equipped with a laboratory robot for sample preparation (the Hewlett-Packard 7686 PrepStation) and an original method for mass spectral purification, a fully automated STA procedure was developed involving isolation of drugs from the sample (whole blood with minimal pretreatment, plasma, urine) by means of solid-phase extraction, derivatization (trimethylsilylation) of the acidic-neutral and of the basic extracts, GC-MS analysis, processing of data, and reporting of results. Each step of the procedure, and the method for data analysis in particular, can be easily integrated with other existing STA methods based on GC-MS.

摘要

对于临床和法医毒理学实验室而言,具备用于生物样品中药物和毒物系统毒理学分析(STA)的自动化、快速且可靠的方法至关重要。气相色谱 - 连续扫描质谱法(GC - MS)因其选择性和鉴定能力在STA中具有很大潜力。然而,为了开发基于GC - MS的全自动STA方法,必须克服两个主要障碍:(a)由于需要从水性基质中分离分析物并使极性分析物在GC中正确分配,样品制备相当复杂;(b)单次分析中收集的大量信息使得从化学噪声中分离相关分析信息(分析物的质谱)变得困难。使用配备用于样品制备的实验室机器人(惠普7686制备工作站)的台式GC - MS系统以及一种原始的质谱纯化方法,开发了一种全自动STA程序,该程序包括通过固相萃取从样品(预处理最少的全血、血浆、尿液)中分离药物,对酸性 - 中性和碱性提取物进行衍生化(三甲基硅烷化),GC - MS分析,数据处理以及结果报告。该程序的每个步骤,特别是数据分析方法,都可以轻松地与其他现有的基于GC - MS的STA方法集成。

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