Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence provides different spectroscopic techniques and their application to food quality analysis, with the unique approach of adding multivariate analysis as well as artificial intelligence applications. It also brings chromatographic methods for the analysis of a wide range of food items including wheat flours, oils and fats. Written by a team of interdisciplinary experts, this is a valuable resource for researchers and personnel involved in food industries.
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Table of Contents
1. Importance of food quality analysis (in relation to food safety and human health and Covid-19 in particular) 2. FTIR spectroscopy combined with multivariate analysis in quality analysis of fats and oils 3. Fluorescence spectroscopy for beer quality analysis 4. Raman spectroscopy combined with multivariate analysis in quality analysis of food and pharmaceutical materials 5. Chromatographic methods for the analysis of oils and fats 6. Gas chromatography and multivariate analysis for wheat flours 7. Electrochemical sensors coupled with machine learning for food safety and quality inspection
