Food Quality Analysis

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 combining artificial intelligence applications. The book covers FTIR, Raman, NIR, Fluorescence, and Mass spectroscopy, along with machine learning and/or multivariate analysis to achieve food and beverage quality. It also brings Hyperspectral imaging applications, Meat quality assessment using electronic nose, Chromatographic and Spectroscopic methods for the analysis of oils and fats, Gas Chromatography and multivariate analysis for wheat flours and Computer vision and image analysis for evaluation of cheese quality. Written by a team of interdisciplinary experts, this is the ultimate resource for industrialists and personnel involved in the food industries. Covers food quality analysis experience combined with spectroscopic techniques, artificial intelligence and machine learning Presents the applications of analytical techniques to speed up the resolution of food safety issues, prevent food fraud and traceability purposes Explores different spectroscopic techniques and their application to food quality analysis