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Einband grossAdvances in Spectroscopic Analysis of Food and Drink
ISBN/GTIN

Advances in Spectroscopic Analysis of Food and Drink

E-BookEPUB0 - No protectionE-Book
250 Seiten
Englisch
Institute of Physics Publishingerschienen am16.02.2024
This volume is woven around the applications of different spectroscopic techniques in the quality analysis of food stuff. Wide range of food items including fruits, fruit juices and edible oils have been covered. Different molecular and atomic spectroscopy techniques including Fourier transform infrared (FTIR) spectroscopy, near-infrared (NIR) and mid infrared (MIR) spectroscopy and Electron Spin Resonance (ESR) spectroscopy have been discussed in detail for such quality analysis applications. Bottom-up approach has been used in most of the chapters. Individual chapters have been written by experts from different disciplines/laboratories and hence interdisciplinary character has emerged in a natural way. Mathematical details have been kept at a level necessary minimum so as to suit a wider range of audience including novice researchers.

Written for industrial researchers and academicians as well as food technicians, this volume will benefit readers interested in using spectrometry in food quality, including handheld and portable spectrometers as well as those looking for the potential applications of artificial intelligence and machine learning to spectroscopic methods for food and drink quality analysis.mehr
Verfügbare Formate
BuchGebunden
EUR151,50
E-BookEPUB0 - No protectionE-Book
EUR164,99

Produkt

KlappentextThis volume is woven around the applications of different spectroscopic techniques in the quality analysis of food stuff. Wide range of food items including fruits, fruit juices and edible oils have been covered. Different molecular and atomic spectroscopy techniques including Fourier transform infrared (FTIR) spectroscopy, near-infrared (NIR) and mid infrared (MIR) spectroscopy and Electron Spin Resonance (ESR) spectroscopy have been discussed in detail for such quality analysis applications. Bottom-up approach has been used in most of the chapters. Individual chapters have been written by experts from different disciplines/laboratories and hence interdisciplinary character has emerged in a natural way. Mathematical details have been kept at a level necessary minimum so as to suit a wider range of audience including novice researchers.

Written for industrial researchers and academicians as well as food technicians, this volume will benefit readers interested in using spectrometry in food quality, including handheld and portable spectrometers as well as those looking for the potential applications of artificial intelligence and machine learning to spectroscopic methods for food and drink quality analysis.
Details
Weitere ISBN/GTIN9780750355735
ProduktartE-Book
EinbandartE-Book
FormatEPUB
Format Hinweis0 - No protection
FormatE101
Erscheinungsjahr2024
Erscheinungsdatum16.02.2024
Seiten250 Seiten
SpracheEnglisch
IllustrationenWith figures in colour and black and white
Artikel-Nr.9933077
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
1. Introduction
2. Comparison between binary and multiclass partial least squares with discriminant analysis: A case study on coffee classification based on near-infrared spectra
3. Combining compositional characteristics, smartphone image, and NIR spectroscopy in a data fusion approach to study multivariate relationships between traditional infusions
4. Quality assessment methods for fruits: spectroscopic approaches
5. Quality assessment methods for fruits-I: Near infrared spectroscopy
6. Quality assessment methods for fruits-II: NMR spectroscopy
7. On-field quality measurement of Marian plum fruit based on spectroscopic method
8. Quality assessment methods for fruit juices: Near-Infrared Spectroscopy
9. Irradiation based spectroscopic methods for quality analysis of fruits
10. Quality assessment methods for fruit juices: UV, Visible spectroscopy
11. Molecular Spectroscopy methods for Food Quality Analysis
12. Quality assessment methods for beer quality analysis-NIR spectroscopy coupled with machine learning algorithms
13. Quality assessment methods for oils and fats- FTIR Spectroscopy Applicationsmehr

Autor

Dr. Ashutosh Kumar Shukla is Associate Professor of Physics and currently heads the Physics Department at Ewing Christian College, Prayagraj, a constituent college of University of Allahabad, India. He has also served as Associate Professor in the Department of Pure and Applied Physics, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh (2011-2013). His research interest is primarily based on the applications of Electron Spin Resonance Spectroscopy technique in different fields of societal interest including Condensed Matter Physics. He has been awarded the Bilateral Exchange fellowship and Visiting fellowship of Indian National Science Academy, New Delhi in addition to research fellowships of Council of Science and Technology, Lucknow and Council of Scientific and Industrial Research, New Delhi. Dr. Shukla is on the reviewer panel and Editorial boards for international journals. With more than 20 years of experience of Physics teaching he has to his credit journal publications, textbooks and edited volumes. Dr. Shukla has successfully completed research projects funded by University Grants Commission, New Delhi and presented his research in different international events. He is a member of the International EPR Society (IES) and web member of the International Society of Magnetic Resonance (ISMAR).

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