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Spectroscopy and Machine Learning Tools for Food Quality and Safety, Volume 115 in the Advances in Food and Nutrition Research series, highlights new advances in the field, with this new volume presenting interesting chapters related to Spectroscopy and Machine Learning Tools. Chapters in this new release include NIR applications in livestock farming systems and derived products, Fluorescence spectroscopy in grape and wine composition and quality control, From Farm to Fork: Spectroscopy in Meat Quality and Safety Assurance, Raman and Mid infrared in food safety and composition, Spectroscopy food functionality and safety, and Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring.

  • Provides the latest information on Advances in Food and Nutrition Research
  • Offers outstanding and original reviews on a range of Spectroscopy and Machine Learning Tools for Food Quality and Safety topics
  • Serves as an indispensable reference for researchers and students alike

1. 1 Introduction - p. 46 2. 2 Grape and wine quality measurement, evaluation, and control - p. 60 3. 3 Spectroscopic technologies and fluorescence - p. 75 4. 4 Applications of fluorescence spectroscopy in grape and wine science - p. 89 5. 5 Conclusion and future perspectives - p. 109 6. References - p. 112 7. Chapter Three: From farm to fork: Spectroscopy in meat quality and safety assurance - p. 131 8. Chapter Four: Vibrational spectroscopy (Raman and infrared) and machine learning tools in food safety and composition - p. 165 9. Chapter Five: Spectroscopy food functionality and safety - p. 225 10. Chapter Six: Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring - p. 293 11. Chapter Seven: Food fermentations: NIR spectroscopy as a tool for process analytical technology - p. 391 12. Chaptr Eight: Spectroscopy grains, beer composition and safety - p. 431

Descripcion
Descripción

Spectroscopy and Machine Learning Tools for Food Quality and Safety, Volume 115 in the Advances in Food and Nutrition Research series, highlights new advances in the field, with this new volume presenting interesting chapters related to Spectroscopy and Machine Learning Tools. Chapters in this new release include NIR applications in livestock farming systems and derived products, Fluorescence spectroscopy in grape and wine composition and quality control, From Farm to Fork: Spectroscopy in Meat Quality and Safety Assurance, Raman and Mid infrared in food safety and composition, Spectroscopy food functionality and safety, and Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring.

  • Provides the latest information on Advances in Food and Nutrition Research
  • Offers outstanding and original reviews on a range of Spectroscopy and Machine Learning Tools for Food Quality and Safety topics
  • Serves as an indispensable reference for researchers and students alike

1. 1 Introduction - p. 46 2. 2 Grape and wine quality measurement, evaluation, and control - p. 60 3. 3 Spectroscopic technologies and fluorescence - p. 75 4. 4 Applications of fluorescence spectroscopy in grape and wine science - p. 89 5. 5 Conclusion and future perspectives - p. 109 6. References - p. 112 7. Chapter Three: From farm to fork: Spectroscopy in meat quality and safety assurance - p. 131 8. Chapter Four: Vibrational spectroscopy (Raman and infrared) and machine learning tools in food safety and composition - p. 165 9. Chapter Five: Spectroscopy food functionality and safety - p. 225 10. Chapter Six: Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring - p. 293 11. Chapter Seven: Food fermentations: NIR spectroscopy as a tool for process analytical technology - p. 391 12. Chaptr Eight: Spectroscopy grains, beer composition and safety - p. 431

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Autores
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