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Spectroscopic techniques & artificia...

Shukla, Ashutosh Kumar.

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Spectroscopic techniques & artificial intelligence for food and beverage analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spectroscopic techniques & artificial intelligence for food and beverage analysis/ edited by Ashutosh Kumar Shukla.
remainder title:	Spectroscopic techniques and artificial intelligence for food and beverage analysis
other author:	Shukla, Ashutosh Kumar.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xi, 121 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Laser Induced Breakdown spectroscopy in food analysis -- Chapter 2: The use of FTIR spectroscopy combined with multivariate analysis in Food composition Analysis -- Chapter 3: Spectrophotometric methods and Electronic Spin Resonance for evaluation antioxidant capacity of food -- Chapter 4: Thermoluminescence the method for the detection of irradiated foodstuffs -- Chapter 5: Advantages of Multi-target modeling for spectral regression.
Contained By:	Springer Nature eBook
Subject:	Food - Spectra. -
Online resource:	https://doi.org/10.1007/978-981-15-6495-6
ISBN:	9789811564956

Spectroscopic techniques & artificial intelligence for food and beverage analysis
Spectroscopic techniques & artificial intelligence for food and beverage analysis[electronic resource] /Spectroscopic techniques and artificial intelligence for food and beverage analysisedited by Ashutosh Kumar Shukla. - Singapore :Springer Singapore :2020. - xi, 121 p. :ill., digital ;24 cm.

Chapter 1: Laser Induced Breakdown spectroscopy in food analysis -- Chapter 2: The use of FTIR spectroscopy combined with multivariate analysis in Food composition Analysis -- Chapter 3: Spectrophotometric methods and Electronic Spin Resonance for evaluation antioxidant capacity of food -- Chapter 4: Thermoluminescence the method for the detection of irradiated foodstuffs -- Chapter 5: Advantages of Multi-target modeling for spectral regression.

This informative book discusses the various spectroscopic techniques applied in the analysis of food and beverages. The respective chapters cover techniques such as Laser-Induced Breakdown Spectroscopy (LIBS), FTIR spectroscopy, Electron Spin Resonance (ESR) spectroscopy and Thermoluminescence. The book also presents artificial intelligence applications that can be used to enhance the spectral data analysis experience in food safety and quality analysis. Given its scope, the book will appeal to novice researchers and students in the area of food science. It offers an equally exciting read for food scientists and engineers working in the food industry.

ISBN: 9789811564956

Standard No.: 10.1007/978-981-15-6495-6doiSubjects--Topical Terms:

3525282
Food
--Spectra.

LC Class. No.: TX547 / .S643 2020

Dewey Class. No.: 664.07

Spectroscopic techniques & artificial intelligence for food and beverage analysis
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245 0 0 $a Spectroscopic techniques & artificial intelligence for food and beverage analysis $h [electronic resource] / $c edited by Ashutosh Kumar Shukla.
246 3 $a Spectroscopic techniques and artificial intelligence for food and beverage analysis
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xi, 121 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Laser Induced Breakdown spectroscopy in food analysis -- Chapter 2: The use of FTIR spectroscopy combined with multivariate analysis in Food composition Analysis -- Chapter 3: Spectrophotometric methods and Electronic Spin Resonance for evaluation antioxidant capacity of food -- Chapter 4: Thermoluminescence the method for the detection of irradiated foodstuffs -- Chapter 5: Advantages of Multi-target modeling for spectral regression.
520 $a This informative book discusses the various spectroscopic techniques applied in the analysis of food and beverages. The respective chapters cover techniques such as Laser-Induced Breakdown Spectroscopy (LIBS), FTIR spectroscopy, Electron Spin Resonance (ESR) spectroscopy and Thermoluminescence. The book also presents artificial intelligence applications that can be used to enhance the spectral data analysis experience in food safety and quality analysis. Given its scope, the book will appeal to novice researchers and students in the area of food science. It offers an equally exciting read for food scientists and engineers working in the food industry.
650 0 $a Food $x Spectra. $3 3525282
650 0 $a Food $x Analysis. $3 564346
650 1 4 $a Biomedical Engineering/Biotechnology. $3 2162071
650 2 4 $a Food Science. $3 890841
650 2 4 $a Nutrition. $3 517777
650 2 4 $a Analytical Chemistry. $3 890839
700 1 $a Shukla, Ashutosh Kumar. $3 3218120
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-15-6495-6
950 $a Biomedical and Life Sciences (SpringerNature-11642)