Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis
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 (E
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ctroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis
Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis
Ashutosh Kumar Shukla Editor
Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis
Editor Ashutosh Kumar Shukla Department of Physics Ewing Christian College Prayagraj, Uttar Pradesh, India
ISBN 978-981-15-6494-9 ISBN 978-981-15-6495-6 (eBook) https://doi.org/10.1007/978-981-15-6495-6 © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
To my parents
Preface
Spectroscopic techniques are potential tool to analyze the quality of food and beverages. Such techniques coupled with mathematical modeling and artificial intelligence offer enhanced spectral data analysis experience. This volume is a collection of five chapters and presents the current trends and practices dealing with spectral data analysis applying spectroscopic techniques equipped with artificial intelligence. Chapter 1 by Jorge O. Caceres reviews the recent advances made by his group in the field of LIBS applications in food analysis. This chapter presents the new possibilities that LIBS can open up with the combination of mathematical modeling. Chapter 2 by Gunawan Indrayanto and Abdul Rohman presents food composition analysis using FTIR spectroscopy in combination with multivariate analysis. This chapter covers basics, instrumentation, sample preparation techniques, statistical analysis, and chemometrics with relevant examples. Chapter 3 by M. MoncadaBasualto and C. Olea-Azar presents a review of the spectrophotometric methods and electron spin resonance spectroscopy
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