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 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

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.