Application of Multivariate Classification Protocols in Research Focusing on Food, Environmental Samples, and Wastewater Technological Processes

Analysis and quantification of multiple analytes in complex samples originating from food and environmental matrixes generate large data sets that can be difficult to analyze and interpret. Multivariate analysis and related computation protocols provide an effective platform and enable such problems...

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Bibliographic Details
Published inJournal of AOAC International Vol. 100; no. 2; pp. 365 - 376
Main Authors Świderska-Dąbrowska, Renata, Piaskowski, Krzysztof, Baran, Michał J
Format Journal Article
LanguageEnglish
Published England Oxford University Press 01.03.2017
Subjects
Cluster Analysis
Discriminant Analysis
Food Analysis
Food Contamination
Multivariate Analysis
Principal Component Analysis
Waste Water - analysis
Water Pollutants, Chemical - analysis
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Summary:Analysis and quantification of multiple analytes in complex samples originating from food and environmental matrixes generate large data sets that can be difficult to analyze and interpret. Multivariate analysis and related computation protocols provide an effective platform and enable such problems to be dealt with. This review illustrates the effective application of chemometrics protocols used to improve quantification techniques and the interpretation of raw data from complex samples.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
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ObjectType-Review-1
ISSN:1060-3271
1944-7922
DOI:10.5740/jaoacint.16-0414