title: Application of Multivariate Classification Protocols in Research Focusing on Food, Environmental Samples, and Wastewater Technological Processes.
abstract: 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.
authors.affiliation: Koszalin University of Technology, Faculty of Civil Engineering, Environmental, and Geodetic Sciences, Department of Environmental Technologies and Bioanalytics, Sniadeckich 2, 75-453 Koszalin, Poland.
authors.forename: Renata
authors.initials: R
authors.lastname: Świderska-Dąbrowska
authors.affiliation: Koszalin University of Technology, Faculty of Civil Engineering, Environmental, and Geodetic Sciences, Department of Environmental Technologies and Bioanalytics, Sniadeckich 2, 75-453 Koszalin, Poland.
authors.forename: Krzysztof
authors.initials: K
authors.lastname: Piaskowski
authors.affiliation: Koszalin University of Technology, Faculty of Civil Engineering, Environmental, and Geodetic Sciences, Department of Environmental Technologies and Bioanalytics, Sniadeckich 2, 75-453 Koszalin, Poland.
authors.forename: Michał J
authors.initials: MJ
authors.lastname: Baran
mesh_terms: D016000:Cluster Analysis; D016002:Discriminant Analysis; D005504:Food Analysis; D005506:Food Contamination; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D062065:Wastewater / Q000032:analysis*; D014874:Water Pollutants, Chemical / Q000032:analysis*
chemical_list: D062065:Wastewater; D014874:Water Pollutants, Chemical