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Measurement, Modeling and Automation in Advanced Food Processing

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Attention for Chapter 11: Fluorescence Spectroscopy for the Monitoring of Food Processes
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Chapter title
Fluorescence Spectroscopy for the Monitoring of Food Processes
Chapter number 11
Book title
Measurement, Modeling and Automation in Advanced Food Processing
Published in
Advances in biochemical engineering biotechnology, January 2017
DOI 10.1007/10_2017_11
Pubmed ID
Book ISBNs
978-3-31-960109-0, 978-3-31-960111-3
Authors

Muhammad Haseeb Ahmad, Amna Sahar, Bernd Hitzmann, Ahmad, Muhammad Haseeb, Sahar, Amna, Hitzmann, Bernd

Abstract

Different analytical techniques have been used to examine the complexity of food samples. Among them, fluorescence spectroscopy cannot be ignored in developing rapid and non-invasive analytical methodologies. It is one of the most sensitive spectroscopic approaches employed in identification, classification, authentication, quantification, and optimization of different parameters during food handling, processing, and storage and uses different chemometric tools. Chemometrics helps to retrieve useful information from spectral data utilized in the characterization of food samples. This contribution discusses in detail the potential of fluorescence spectroscopy of different foods, such as dairy, meat, fish, eggs, edible oil, cereals, fruit, vegetables, etc., for qualitative and quantitative analysis with different chemometric approaches.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Researcher 6 12%
Student > Ph. D. Student 6 12%
Other 3 6%
Student > Bachelor 3 6%
Other 7 14%
Unknown 16 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 20%
Chemistry 6 12%
Physics and Astronomy 2 4%
Engineering 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 6 12%
Unknown 22 45%