Uncommon multivariate statistical methods for environmental studies: A review

被引：6

作者：

Mecozzi, Mauro ^{[1
]}

Beatriz Tudino, Mabel ^{[2
]}

Finoia, Maria Grazia ^{[3
]}

Conti, Marcelo Enrique ^{[4
]}

机构：

[1] Italian Natl Inst Environm Protect & Res, Lab Chemometr & Environm Applicat, Via Castel Romano 100, I-00128 Rome, Italy

[2] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Quim Inorgan Analit & Quim Fis, INQUIMAE, Buenos Aires, DF, Argentina

[3] Italian Natl Inst Environm Protect & Res, I-00166 Rome, Italy

[4] Sapienza Univ Rome, Dept Management, I-00161 Rome, Italy

来源：

TRENDS IN ENVIRONMENTAL ANALYTICAL CHEMISTRY | 2015年 / 6-7卷

关键词：

Environmental studies; Multivariate methods; Independent component analysis; Two-dimensional correlation spectroscopy; Spectroscopic analysis; Chromatographic analysis; INDEPENDENT COMPONENT ANALYSIS; LINE TRACE-METALS; ORGANIC-MATTER; INFRARED-SPECTROSCOPY; GAS-CHROMATOGRAPHY; FTIR-SPECTROSCOPY; BEAGLE CHANNEL; SAMPLE-SAMPLE; SPECTRA; CALIBRATION;

D O I：

10.1016/j.teac.2015.02.002

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

In this paper we describe the characteristics and the applications of the multivariate methods for spectroscopic and chromatographic techniques independent component analysis (ICA) and two-dimensional correlation spectroscopy (2DCOS) focused to their use in environmental studies. In our opinion, these methods are important because they allow to characterize environmental samples with different aims and scopes from those generally obtained by means of more common multivariate methods such as principal component analysis (PCA) and partial least squares (PLS). The new insights of these methods in recent environmental studies are reviewed and debated. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：31 / 38

页数：8

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