Noise reduction of fast, repetitive GC/MS measurements using principal component analysis (PCA)

被引：38
|
作者：
Statheropoulos, M
Pappa, A
Karamertzanis, P
Meuzelaar, HLC
机构：
[1] Natl Tech Univ Athens, Dept Chem Engn, Sector 1, GR-15773 Athens, Greece
[2] Univ Utah, Ctr Micro Anal & React Chem, Salt Lake City, UT USA
来源：
ANALYTICA CHIMICA ACTA | 1999年 / 401卷 / 1-2期
关键词：
noise reduction; principal component analysis (PCA); roving gas chromatography/mass spectrometry (GC/MS);
D O I：
10.1016/S0003-2670(99)00494-8
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Principal component analysis (PCA) was applied to the noise reduction of low ppb level benzene, toluene, ethyl benzene, xylene (BTEX) type sas chromatography/mass spectrometry (GC/MS) measurements (i,e, BTEX) with a fast, repetitive GC/MS system. The first three principal components (PCs) accounting for approximately 60-80% of the total variance in the original data could be attributed to chemical components, whilst the remaining PCs were found to be due to noise. Reconstruction of the data from the first three PCs resulted in noise reduction with improved signal fidelity, The results of PCA were comparable with those achieved by a Fourier transform method. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：35 / 43
页数：9
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