Food Quality Analysis
Applications of Analytical Methods Coupled With Artificial Intelligence
- 1st Edition - November 18, 2022
- Imprint: Academic Press
- Editor: Ashutosh Kumar Shukla
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 9 8 8 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 9 8 7 - 2
Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence provides different spectroscopic techniques and their application to food quality a… Read more
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Request a sales quoteFood Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence provides different spectroscopic techniques and their application to food quality analysis, with the unique approach of adding multivariate analysis as well as artificial intelligence applications. It also brings chromatographic methods for the analysis of a wide range of food items including wheat flours, oils and fats. Written by a team of interdisciplinary experts, this is a valuable resource for researchers and personnel involved in food industries.
- Covers food quality analysis experience combined with 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 food quality analysis
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
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- Chapter one. Importance of food quality analysis in relation to food safety and human health and COVID-19 in particular
- Abstract
- 1.1 Introduction
- 1.2 Importance of food quality analysis
- 1.3 Compositional analysis of foods
- 1.4 Chemical analysis of foods
- 1.5 Importance of food analysis in relation to COVID-19
- 1.6 Future prospects
- 1.7 Conclusions
- References
- Chapter two. Fourier transform infrared spectroscopy combined with multivariate analysis for quality analysis of fats and oils
- Abstract
- 2.1 Introduction
- 2.2 Fourier transform infrared spectroscopy and chemometrics
- 2.3 Analysis of fat and oil components
- 2.4 Determination of fat and oil parameters using Fourier transform infrared spectroscopy
- References
- Chapter three. Fluorescence spectroscopy for beer quality analysis
- Abstract
- 3.1 Introduction
- 3.2 Concept of fluorescence
- 3.3 Characteristics of fluorescence
- 3.4 Factors affecting fluorescence phenomenon
- 3.5 Fluorescence spectra and its types
- 3.6 Phenomena of fluorescence scattering
- 3.7 Fluorescence geometry of beer
- 3.8 Beer constituents having fluorescent properties
- 3.9 Application of fluorescence spectroscopy in beer
- 3.10 Quality analysis of beer using PARAFAC model
- 3.11 Conclusions
- References
- Chapter four. Raman spectroscopy combined with multivariate analysis in quality analysis of food and pharmaceutical materials
- Abstract
- 4.1 Introduction
- 4.2 Principles of Raman spectroscopy
- 4.3 Raman signal
- 4.4 Types of Raman spectroscopy used for food analysis
- 4.5 Raman spectroscopy to detect the hazards caused by biological agents
- 4.6 Multivariate analysis
- 4.7 Raman spectroscopy for detection of food
- 4.8 Detection of chemicals using Raman analysis
- 4.9 Raman detection for pharmaceuticals
- 4.10 Raman to detect nanomaterials
- 4.11 Raman analysis to prevent physical hazards
- 4.12 Future perspective
- Acknowledgments
- References
- Chapter five. Chromatographic methods for the analysis of oils and fats
- Abstract
- 5.1 Introduction
- 5.2 Quality assessment of oils and fats
- 5.3 Chromatographic based techniques
- 5.4 Conclusions, recommendations, and future trends
- Acknowledgement
- References
- Chapter six. Gas chromatography and multivariate analysis for wheat flours
- Abstract
- 6.1 Introduction
- 6.2 Wheat grain compositions
- 6.3 Wheat flour
- 6.4 The standard for wheat flour
- 6.5 Quality assessment of wheat and wheat-based products
- 6.6 Application of gas chromatography coupled with mass spectroscopy
- 6.7 Application of gas chromatography coupled with mass spectroscopy and multivariate analysis in quality analysis of wheat flour and wheat-based products
- 6.8 Gas chromatography coupled with mass spectroscopy-based metabolomics in wheat study
- 6.9 Gas chromatography coupled with mass spectroscopy wheat authentication
- 6.10 Gas chromatography coupled with mass spectroscopy in wheat and wheat-based food spoilage and storage
- 6.11 Future gas chromatography coupled with mass spectroscopy application in wheat food safety
- 6.12 Conclusions
- References
- Chapter seven. Electrochemical sensors coupled with machine learning for food safety and quality inspection
- Abstract
- 7.1 Introduction
- 7.2 Electrochemical sensor types used in food science and technology
- 7.3 Machine learning techniques used in food science and technology
- 7.4 Machine learning algorithms applied to food safety and quality inspection
- 7.5 Machine learning applied to electrochemical sensors for monitoring food contaminants
- 7.6 Conclusions and perspectives
- References
- Index
- Edition: 1
- Published: November 18, 2022
- Imprint: Academic Press
- No. of pages: 222
- Language: English
- Paperback ISBN: 9780323959889
- eBook ISBN: 9780323959872
AS
Ashutosh Kumar Shukla
Dr. Shukla has obtained his B.Sc., M.Sc. and D. Phil. degrees from University of Allahabad, India. During his doctoral work he has focused on the Electron Spin Resonance spectroscopy and optical absorption spectroscopy to study the transition ion doped single crystals. In addition to his exposure to the available CW-ESR spectrometers at leading institutes of his own country, he is enriched with hands on experience with modern CW and pulsed ESR spectrometers at several leading and University of St. Andrew’s, Scotland; and Kazan State University, Kazan. He has shared his research in many international events focused on Electron Spin Resonance Spectroscopy, organized in U.S.A., U.K., Germany, Spain, and Russia. Dr. Shukla has a good number publications to his credit in this filed in peer reviewed journals and books. Dr. Shukla is currently serving as Physics faculty at Ewing Christian College, Allahabad, India.
Affiliations and expertise
Associate Professor and Head, Department of Physics, Ewing Christian College, Prayagraj, IndiaRead Food Quality Analysis on ScienceDirect