Advanced Nondestructive Detection Technologies in Food
Autor Quansheng Chen, Hao Lin, Jiewen Zhaoen Limba Engleză Paperback – 29 aug 2022
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.
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Specificații
ISBN-13: 9789811633621
ISBN-10: 9811633622
Ilustrații: XIV, 333 p. 197 illus., 130 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811633622
Ilustrații: XIV, 333 p. 197 illus., 130 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
Cuprins
Chapter 1 Introduction. -Chapter 2 Computer Vision Technologies in Food.- Chapter 3 Near Infrared Spectroscopy Analysis in Food.- Chapter 4 Spectral Imaging Technologies in Food.- Chapter 5 CSAs Array Technologies in Food.- Chapter 6 Acoustic and Vibrating Signal Analysis Technologies in Food.- Chapter 7 Bionic Sensors Technologies in Food.- Chapter 8 Multi-Sensors data fusion Technologies in Food External and Internal Quality Comprehensive Evaluation.- Chapter 9 Intelligent and Portable Equipments of Nondestructve Detection Technologies in Food.- Chapter 10 Nondestructive Deatection Technologies for Real-time Monitoring Food Processing.
Notă biografică
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.
Textul de pe ultima copertă
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.
Caracteristici
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