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题名: Interpretation of comprehensive two-dimensional gas chromatography data using advanced chemometrics
作者: Zeng, Zhongda1, 2;  Li, Jia2;  Hugel, Helmut M.3;  Xu, Guowang2;  Marriott, Philip J.1
关键词: Chemometrics ;  Comprehensive two-dimensional gas chromatography (GC x GC) ;  Data characteristics ;  Data processing ;  Deconvolution ;  Mass spectrometry ;  Multivariate curve resolution (MCR) ;  Multivariate data analysis ;  Orthogonality ;  Signal processing
刊名: TRAC-TRENDS IN ANALYTICAL CHEMISTRY
发表日期: 2014
DOI: 10.1016/j.trac.2013.08.009
卷: 53, 页:150-166
收录类别: SCI
文章类型: Review
WOS标题词: Science & Technology ;  Physical Sciences
类目[WOS]: Chemistry, Analytical
研究领域[WOS]: Chemistry
英文摘要: The power of comprehensive two-dimensional gas chromatography (GC x GC) for the study of complex mixtures has been indisputably proved in the past several decades. This review encompasses the whole of GC x GC-related data processing and summarizes relevant applications. We include theoretical introduction to some specific methods and studies to aid readers' understanding of chemometrics strategies for advanced data interpretation. (C) 2013 Elsevier Ltd. All rights reserved.
关键词[WOS]: FLIGHT-MASS-SPECTROMETRY ;  GC X GC ;  MULTIVARIATE CURVE RESOLUTION ;  PRINCIPAL COMPONENT ANALYSIS ;  WINDOW FACTOR-ANALYSIS ;  PARTIAL LEAST-SQUARES ;  PERFORMANCE LIQUID-CHROMATOGRAPHY ;  EVOLVING FACTOR-ANALYSIS ;  PARALLEL FACTOR-ANALYSIS ;  ORTHOGONAL PROJECTION RESOLUTION
语种: 英语
WOS记录号: WOS:000329959900015
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/145668
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

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作者单位: 1.Monash Univ, Sch Chem, Australian Ctr Res Separat Sci, Clayton, Vic 3800, Australia
2.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
3.RMIT Univ, Sch Appl Sci, Melbourne, Vic 3001, Australia

Recommended Citation:
Zeng, Zhongda,Li, Jia,Hugel, Helmut M.,et al. Interpretation of comprehensive two-dimensional gas chromatography data using advanced chemometrics[J]. TRAC-TRENDS IN ANALYTICAL CHEMISTRY,2014,53:150-166.
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