
Food Quality Analysis
Applications of Analytical Methods Coupled with Artificial Intelligence
Description
Key Features
- Brings the food quality analysis experience combined with the spectroscopic techniques, artificial intelligence, and machine learning
- Presents the applications of analytical techniques to speed up the resolution of food safety issues, prevent food fraud, and traceability purposes
- Explores different spectroscopic techniques and their application to the food quality analysis
Readership
Laboratory technicians, Industrialists and personnel involved in food industries Wide range of audience including students, novice researchers, scientists, academicians and professionals without any geographic limitations
Table of Contents
1. Importance of food quality analysis (in relation to food safety and human health and Covid-19 in particular)
2. Analytical Techniques used for quality analysis of food items: Recent Trends
3. Artificial Intelligence applications coupled to spectroscopic characterizations techniques for food/beverage analysis
4. FTIR spectroscopy combined with multivariate analysis in quality analysis of fats and oils
5. Raman spectroscopy combined with multivariate analysis in quality analysis of food and pharmaceutical materials
6. NIR spectroscopy & Machine Learning and/or Multivariate analysis for the freshness check of food items
7. LASER Induced Breakdown Spectroscopy and Neural Networks for olive oil analysis
8. Hyperspectral imaging applications in food quality analysis
9. Fluorescence Spectroscopy for beer quality analysis
10. Meat quality assessment using electronic nose
11. Cost effective methods for beverage/wine quality analysis (including computer vision and Machine Learning Algorithms and electronic nose applications)
12. Chromatographic and Spectroscopic methods for the analysis of oils and fats
13. Mass Spectrometry for food safety applications
14. Gas Chromatography and multivariate analysis for wheat flours
15. Computer vision and image analysis for evaluation of cheese quality
Product details
- No. of pages: 180
- Language: English
- Copyright: © Academic Press 2023
- Published: January 1, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780323959889