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尿有机酸的反褶积气相色谱/质谱分析——代谢紊乱模式识别与自动识别的潜力

Deconvolution gas chromatography/mass spectrometry of urinary organic acids--potential for pattern recognition and automated identification of metabolic disorders.

作者信息

Halket J M, Przyborowska A, Stein S E, Mallard W G, Down S, Chalmers R A

机构信息

Centre for Chemical Sciences, Royal Holloway, University of London, Egham, UK.

出版信息

Rapid Commun Mass Spectrom. 1999;13(4):279-84. doi: 10.1002/(SICI)1097-0231(19990228)13:4<279::AID-RCM478>3.0.CO;2-I.

Abstract

The National Institute of Standards and Technology (NIST) Automated Mass Spectral Deconvolution and Identification System (AMDIS) is applied to a selection of data files obtained from the gas chromatography/mass spectrometry (GC/MS) analysis of urinary organic acids. Mass spectra obtained after deconvolution are compared with a special user library containing both the mass spectra and retention indices of ethoxime-trimethylsilyl (EO-TMS) derivatives of a set of organic acids. Efficient identification of components is achieved and the potential of the procedure for automated diagnosis of inborn errors of metabolism and for related research is demonstrated.

摘要

美国国家标准与技术研究院(NIST)的自动质谱反卷积与鉴定系统(AMDIS)应用于从尿有机酸气相色谱/质谱(GC/MS)分析中获得的一系列数据文件。反卷积后得到的质谱与一个特殊的用户库进行比较,该库包含一组有机酸的乙肟-三甲基硅烷基(EO-TMS)衍生物的质谱和保留指数。实现了对成分的有效鉴定,并证明了该程序在先天性代谢缺陷自动诊断及相关研究方面的潜力。

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