Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis

Author:   Ashutosh Kumar Shukla
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2020
ISBN:  

9789811564949


Pages:   121
Publication Date:   21 August 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis


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Overview

This informative book discusses the various spectroscopic techniques applied in the analysis of food and beverages. The respective chapters cover techniques such as Laser-Induced Breakdown Spectroscopy (LIBS), FTIR spectroscopy, Electron Spin Resonance (ESR) spectroscopy and Thermoluminescence. The book also presents artificial intelligence applications that can be used to enhance the spectral data analysis experience in food safety and quality analysis.  Given its scope, the book will appeal to novice researchers and students in the area of food science. It offers an equally exciting read for food scientists and engineers working in the food industry.

Full Product Details

Author:   Ashutosh Kumar Shukla
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9789811564949


ISBN 10:   9811564949
Pages:   121
Publication Date:   21 August 2020
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Laser Induced Breakdown spectroscopy in food analysis.- Chapter 2: The use of FTIR spectroscopy combined with multivariate analysis in Food composition Analysis.- Chapter 3: Spectrophotometric methods and Electronic Spin Resonance for evaluation antioxidant capacity of food.- Chapter 4: Thermoluminescence the method for the detection of irradiated foodstuffs.- Chapter 5: Advantages of Multi-target modeling for spectral regression.

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Author Information

Dr. Ashutosh Kumar Shukla is an Associate Professor of Physics at Ewing Christian College, University of Allahabad, India. In addition to journal publications, he also has a textbook and many edited volumes on e.g. Medicine, Food Science and Crude Oil to his credit. Dr. Shukla has successfully completed research projects and presented his findings at various international events. He serves on the reviewer panel for numerous international journals; is a member of the International EPR Society (IES); and is a web member of the International Society of Magnetic Resonance (ISMAR).

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