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Jiewen Zhao

Advanced Nondestructive Detection Technologies in Food

Ebook (PDF Format)

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 d… Mehr

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Produktdetails


Weitere Autoren: Chen, Quansheng / Lin, Hao
  • ISBN: 978-981-1633-60-7
  • EAN: 9789811633607
  • Produktnummer: 37365707
  • Verlag: Springer
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Plattform: PDF
  • Masse: 12'857 KB

Über den Autor


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.

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