Food Quality Analysis
Applications of Analytical Methods Coupled With Artificial Intelligence
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...
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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.
Bibliographische Angaben
- Herausgegeben:Shukla, Ashutosh Kumar
- Verlag: Academic Press
- EAN: 9780323959889
Autoren-Porträt
Dr. Shukla has obtained his B.Sc., M.Sc. and D. Phil. degrees from University of Allahabad, India. During his doctoral work he has focused on the Electron Spin Resonance spectroscopy and optical absorption spectroscopy to study the transition ion doped single crystals. In addition to his exposure to the available CW-ESR spectrometers at leading institutes of his own country, he is enriched with hands on experience with modern CW and pulsed ESR spectrometers at several leading and University of St. Andrew's, Scotland; and Kazan State University, Kazan. He has shared his research in many international events focused on Electron Spin Resonance Spectroscopy, organized in U.S.A., U.K., Germany, Spain, and Russia. Dr. Shukla has a good number publications to his credit in this filed in peer reviewed journals and books. Dr. Shukla is currently serving as Physics faculty at Ewing Christian College, Allahabad, India.
Inhaltsverzeichnis zu „Food Quality Analysis “
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
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