Quantitative analysis by comprehensive two-dimensional gas chromatography using interval Multi-way Partial Least Squares calibration

被引：19
作者：
Fonseca de Godoy, Luiz Antonio
Pedroso, Marcio Pozzobon
Hantao, Leandro Wang
Poppi, Ronei Jesus
Augusto, Fabio [1 ]
机构：
[1] State Univ Campinas Unicamp, Inst Chem, BR-13084971 Sao Paulo, Brazil
来源：
TALANTA | 2011年 / 83卷 / 04期
基金：
巴西圣保罗研究基金会;
关键词：
Comprehensive two-dimensional gas chromatography; Multivariate calibration; Quantitative analysis; Allergens; MASS-SPECTROMETRY; CHEMOMETRIC ANALYSIS; GC; QUANTIFICATION; METABOLITES; GASOLINE; COFFEE;
D O I：
10.1016/j.talanta.2010.08.015
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
A new approach for target quantitative analysis for comprehensive two-dimensional gas chromatography (GC x GC), interval Multi-way Partial Least Square (iNPLS) is presented and evaluated in this paper. In iNPLS, the two-dimensional chromatogram is split in small sections; each of these pieces is treated as an independent new chromatogram. Separated conventional NPLS calibration models for the concentration of the target analyte are built for each of the pieces of the whole chromatogram, and the best model is selected for quantitative analysis. An algorithm for iNPLS running on MatLab platform was written, preliminarily evaluated with using solutions of model compounds with different chemical properties and subsequently applied to quantify some allergens in perfume samples. The results were found to be adequate, and good precision and accuracy was obtained even for poorly resolved peaks. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：1302 / 1307
页数：6
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