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Smart Food Safety
- 1st Edition, Volume 111 - August 4, 2024
- Editor: Xiaonan Lu
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 3 1 3 5 6 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 1 3 5 7 - 8
Smart food safety series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of author… Read more
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Request a sales quoteSmart food safety series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.
- Provides the latest information on food research
- Offers outstanding and original reviews on a range of food research topics
- Serves as an indispensable reference for researchers and students alike
Provides invaluable information on the fast-moving field of food research that includes outstanding original reviews on a variety of topics
- Cover image
- Title page
- Table of Contents
- Series Page
- Copyright
- Contributors
- Preface
- Reference
- Chapter One: Smart food packaging: Recent advancement and trends
- Abstract
- 1 Introduction
- 2 Active packaging
- 3 Intelligent packaging
- 4 Dual-function smart packaging
- 5 Challenges and opportunities
- References
- Chapter Two: Frontiers of machine learning in smart food safety
- Abstract
- 1 Introduction
- 2 Application of ML techniques in food safety
- 3 Case studies of cutting-edge ML applications
- 4 Challenges and potential solutions in implementing ML for smart food safety
- 5 Conclusion and future perspectives
- References
- Chapter Three: Virtualization and digital twins of the food supply chain for enhanced food safety
- Abstract
- 1 Introduction
- 2 Virtual foods, processes and supply chains—definitions, classification, advantages and limitations
- 3 Constructing virtual foods, processes and supply chains—data requirements and modeling approaches
- 4 Final remarks
- Acknowledgments
- References
- Chapter Four: Modernization of digital food safety control
- Abstract
- 1 Introduction
- 2 Digital detection methods for food safety
- 3 Digital food safety control in food industry
- 4 Digital food safety control system
- 5 Conclusion
- References
- Chapter Five: Ensuring food safety by artificial intelligence-enhanced nanosensor arrays
- Abstract
- 1 Introduction
- 2 Types of nanosensor arrays
- 3 Analysis of sensor array data through machine learning algorithms
- 4 Integration of sensor arrays with smart devices
- 5 Application of AI-powered nanosensor arrays in food safety
- 6 Concluding remarks and future challenges
- References
- Chapter Six: Machine learning-enabled colorimetric sensors for foodborne pathogen detection
- Abstract
- 1 Introduction
- 2 Methodology of colorimetric sensing for foodborne pathogens
- 3 Machine learning approaches for improved sensor application
- 4 Current hurdles to food industry applications of CFPS
- 5 Conclusion
- Acknowledgments
- References
- Chapter Seven: Intelligent food packaging for smart sensing of food safety
- Abstract
- 1 Introduction
- 2 Indicators for food quality
- 3 Materials for creating intelligent packaging
- 4 Real-world application
- 5 Conclusion
- Acknowledgments
- References
- Chapter Eight: Application of photothermal effects of nanomaterials in food safety detection
- Abstract
- 1 Introduction
- 2 Photothermal conversion mechanism of nanomaterials
- 3 Preparation of photothermal nanomaterials
- 4 Application of photothermal nanomaterials in food safety
- 5 Summary
- References
- Chapter Nine: Microfluidics in smart food safety
- Abstract
- 1 Introduction
- 2 Fundamentals of microfluidics
- 3 Smart technologies in microfluidics
- 4 Smart applications in food safety
- 5 Challenges and future directions
- References
- No. of pages: 370
- Language: English
- Edition: 1
- Volume: 111
- Published: August 4, 2024
- Imprint: Academic Press
- Hardback ISBN: 9780443313561
- eBook ISBN: 9780443313578