Chemometrics Methods Applied to Non-Selective Signals in Order to Address Mainly Food, Industrial and Environmental Problems
ber 2019 Decem Chemometrics Methods Applied to Non-Selective Signals in Order to Address Mainly Food, Industrial and Environmental Problems PhD Thesis Maryam Hooshyari University of Genova Doctorate in Sciences and Technologies of Chemistry and Materials Chemometrics Methods Applied to Non-Selective Signals in Order to Address Mainly Food, Industrial and Environmental Problems PhD Thesis Curriculum: SAFC XXXII Cycle Maryam Hooshyari Supervisor: Prof. Monica Casale 1 Data Sheet Title: Chemometrics Methods Applied to Non-Selective Signals in Order to Address Mainly Food, Industrial and Environmental Problems Subtitle: PhD thesis Author: Maryam Hooshyari Supervisor: Prof. Monica Casale Department: Pharmaceutical, Food and Cosmetology Sciences, Research Group of Analytical Chemistry and Chemometrics Curriculum: Pharmaceutical, Food and Cosmetology Sciences (SAFC) University: Università degli Studi di Genova Financial support: Università degli Studi di Genova Thesis Abstract: Chemometrics is a chemical discipline that uses mathematical and statistical methods in order to extract useful information from multivariate chemical data. Moreover, chemometrics is applied to correlate quality parameters or physical properties to analytical instrument data such as calculating pH from a measurement of hydrogen ion activity or a Fourier transform interpolation of a spectrum. Aim of this thesis project is to develop chemometrical strategies for the elaboration and the interpretation of non-selective complex data in order to solve real problems in food, industry and environmental fields. Keywords: Chemometrics, PCA, PARAFAC, SIMCA, PLS-CM, PLS- DA, ANOVA, PLS, QDA, D-Optimal Design, Green Tea, Lichen Thalli, Air Pollution, Engine Oil, Base Oil, Crude Oil, Naphthenic Acid, Produced Water, NIR, Fluorescence, LC- HRMS, UV-Visible, Spectroscopy, Chromatography. 2 Table of Contents Preface .........................................................................................................
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