Affiliation:
1. Instituto de Química-Física ‘Rocasolano’ (CSIC), Serrano 119, 28006 Madrid, Spain
2. Instituto de Química Orgánica General (CSIC), Juan de la Cierva 3, 28006 Madrid, Spain
Abstract
Although qualitative strategies based on direct injection mass spectrometry (DIMS) have recently emerged as an alternative for the rapid classification of food samples, the potential of these approaches in quantitative tasks has scarcely been addressed to date. In this paper, the applicability of different multivariate regression procedures to data collected by DIMS from simulated mixtures has been evaluated. The most relevant factors affecting quantitation, such as random noise, the number of calibration samples, type of validation, mixture complexity and similarity of mass spectra, were also considered and comprehensively discussed. Based on the conclusions drawn from simulated data, and as an example of application, experimental mass spectral fingerprints collected by direct thermal desorption coupled to mass spectrometry were used for the quantitation of major volatiles in
Thymus zygis
subsp.
zygis
chemotypes. The results obtained, validated with the direct thermal desorption coupled to gas chromatography–mass spectrometry method here used as a reference, show the potential of DIMS approaches for the fast and precise quantitative profiling of volatiles in foods.
This article is part of the themed issue ‘Quantitative mass spectrometry’.
Funder
Comunidad de Madrid (Spain) and European
Ramón y Cajal contract and Fundación Ramón Areces
Subject
General Physics and Astronomy,General Engineering,General Mathematics
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献