Literature DB >> 25306513

Classification and characterization of beef muscles using front-face fluorescence spectroscopy.

Amna Sahar1, Éric Dufour2.   

Abstract

The objective of this study was to evaluate the potential of fluorescence spectroscopy to identify different muscles and to predict some physicochemical and rheological parameters. Samples were taken from three muscles (Semitendinosus, Rectus abdominis and Infraspinatus) of Charolais breed. Dry matter content, fat content, protein content, texture and collagen content were determined. Moreover emission spectra were recorded in the range of 305-400nm, 340-540nm and 410-700nm by fixing the excitation wavelength at 290, 322 and 382nm, respectively. The results obtained were evaluated by partial least square discriminant analysis and partial least square regression. Results of our research work show that front-face fluorescence spectroscopy and chemometrics offer significant potential for the development of rapid and non-destructive methods for the identification and characterization of muscles.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Beef; Fluorescence spectroscopy; Muscle; Rheology

Mesh:

Substances:

Year:  2014        PMID: 25306513     DOI: 10.1016/j.meatsci.2014.09.142

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  3 in total

1.  Determination of Adulteration of Chicken Meat into Minced Beef Mixtures using Front Face Fluorescence Spectroscopy Coupled with Chemometric.

Authors:  Asima Saleem; Amna Sahar; Imran Pasha; Muhammad Shahid
Journal:  Food Sci Anim Resour       Date:  2022-07-01

Review 2.  Spectroscopic techniques for authentication of animal origin foods.

Authors:  Vandana Chaudhary; Priyanka Kajla; Aastha Dewan; R Pandiselvam; Claudia Terezia Socol; Cristina Maria Maerescu
Journal:  Front Nutr       Date:  2022-09-20

3.  Online Prediction of Physico-Chemical Quality Attributes of Beef Using Visible-Near-Infrared Spectroscopy and Chemometrics.

Authors:  Amna Sahar; Paul Allen; Torres Sweeney; Jamie Cafferky; Gerard Downey; Andrew Cromie; Ruth M Hamill
Journal:  Foods       Date:  2019-10-23
  3 in total

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