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.
- 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
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Techn.
Dateigröße
ISBN-13
978-0-323-95987-2 (9780323959872)
Schweitzer Klassifikation
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 oils3. Fluorescence spectroscopy for beer quality analysis4. Raman spectroscopy combined with multivariate analysis in quality analysis of food and pharmaceutical materials5. Chromatographic methods for the analysis of oils and fats6. Gas chromatography and multivariate analysis for wheat flours7. Electrochemical sensors coupled with machine learning for food safety and quality inspection
