Medical Applications of NIR Spectroscopy

In recent years, near-infrared (NIR) spectroscopy has seen much progress in instrumentation and measurement techniques. It has been used for monitoring in many fields of analytical spectroscopy. Examples are the characterization of materials from processe

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Spectroscopy Theory, Spectral Analysis, Instrumentation, and Applications

Near-Infrared Spectroscopy

Yukihiro Ozaki Christian Huck Satoru Tsuchikawa Søren Balling Engelsen •





Editors

Near-Infrared Spectroscopy Theory, Spectral Analysis, Instrumentation, and Applications

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Editors Yukihiro Ozaki School of Science and Technology Kwansei Gakuin University Sanda, Japan Satoru Tsuchikawa Nagoya University Nagoya, Japan

Christian Huck Institut für Analytische Chemie und Radiochemie University of Innsbruck Innsbruck, Tirol, Austria Søren Balling Engelsen University of Copenhagen Copenhagen, Denmark

ISBN 978-981-15-8647-7 ISBN 978-981-15-8648-4 https://doi.org/10.1007/978-981-15-8648-4

(eBook)

© Springer Nature Singapore Pte Ltd. 2021 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

Preface

Despite being a well-established and very mature technique, near-infrared (NIR) spectroscopy continues to demonstrate remarkable progress. New principles for instrumentation have provided cutting-edge developments within NIR imaging, handheld instruments and laser-based techniques. As with the field of data analysis in general, NIR spectral analysis and data treatments also continue to demonstrate prominent advancements that only accelerate in its scope and accomplishments. We now have instruments available that are capable of generating very high volumes of high-quality spectral data, in breath-taking speeds, perhaps even distributed over several online measurement points, and terms such as artificial intelligence, big data and deep learning are more and more commonly seen as the tools used to decipher the hidden information in the spectral data. All these advances open