Overview
- Introduces systems and equipment for each non-destructive method
- Provides signal processing methods and models corresponding to each non-destructive method
- Includes imaging processing, digital signal processing, chemometrics, machine learning and more
- Describes the growing role of non-destructive methods in food quality and safety in-situ detection and in-field monitoring
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Table of contents (10 chapters)
Keywords
About this book
In the noninvasive measurement of food quality, this book has a systematic introduction of the detection principle, data processing, and rapid detection system, in-field detection case studies. This book is novel and practical and can be used as a professional textbook for undergraduates majoring in food science and engineering. It can also be used as a reference book for scientific research and technical personnel engaged in the field of food quality and safety detection.
Authors and Affiliations
About the authors
Dr. Quansheng Chen is a professor in the School of Food and Biological Engineering of Jiangsu University. He has been engaged in the research of non-destructive detection of food quality and safety for nearly twenty 20 years. His main research interest includes using NIR, computer vision, spectral imaging, and multi-sensors fusion technologies food quality and safety non-destructive detection, and real-time monitoring for food quality using non-destructive methods.
Hao Lin
Dr. Hao Lin is an associate professor in the School of Food and Biological Engineering of Jiangsu University. He has been engaged in the research of non-destructive detection of food quality and safety for fifteen years. His main research interest includes using NIR, bionic sensors, colorimetric sensors, acoustic sensor technologies for food quality and safety non-destructive detection, and the development of intelligent equipment.
Jiewen Zhao
Dr. Jiewen Zhao is a professor in the School of Food and Biological Engineering of Jiangsu University. He has been engaged in the research of non-destructive detection of food quality and safety for more than thirty years. His main research interest includes using NIR, computer vision, bionic sensors, spectral imaging and multi-sensors fusion technologies food quality and safety non-destructive detection, and online grading for food quality using non-destructive methods.
Bibliographic Information
Book Title: Advanced Nondestructive Detection Technologies in Food
Authors: Quansheng Chen, Hao Lin, Jiewen Zhao
DOI: https://doi.org/10.1007/978-981-16-3360-7
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-3359-1Published: 28 August 2021
Softcover ISBN: 978-981-16-3362-1Published: 29 August 2022
eBook ISBN: 978-981-16-3360-7Published: 27 August 2021
Edition Number: 1
Number of Pages: XIV, 333
Number of Illustrations: 67 b/w illustrations, 130 illustrations in colour
Topics: Food Science, Analytical Chemistry, Food Microbiology