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Advanced Nondestructive Detection Technologies in Food

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  • © 2021

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

This book comprehensively introduces non-destructive methods for food quality (i.e. external, internal, sensory, components, and microbiological indicators) detection, through optics, acoustics, chemistry, imaging, and bionic sensing. It highlights in-situ detection of food quality and safety, including principles, signal processing, and analysis of data, non-destructive detection system, and application in the food industry for each method. First, this book introduces the principles and characteristics of various food non-destructive methods. As non-destructive measurements always involve obtaining big data for each testing, this book also describes in detail the signal and big data processing for each non-destructive method. The chapters also introduce the rapid portable detection equipment for food and agricultural products developed in recent years, as well as the intelligent monitoring equipment in the process of food processing. Relevant application cases are provided to help readers better understanding how to apply non-destructive technology for food quality detection. 
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

  • College of Food and Biological Engineering, Jimei University, Xiamen, China

    Quansheng Chen

  • School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China

    Hao Lin, Jiewen Zhao

About the authors

Quansheng Chen 


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

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