Fourier Transform Infrared and Raman Spectroscopy Studies of the Time-Dependent Changes in Chicken Meat as a Tool for Recording Spoilage Processes

Adam Zając , Lucyna Dymińska , Jadwiga Lorenc , Jerzy Hanuza

Abstract

Time-dependent changes of chicken meat were studied using Fourier transform IR and Raman techniques. Small pieces of intact chicken breast muscle (pectoralis major) were used in the investigations. They were stored in air at 22 °C up to 10 days and their IR and Raman spectra were measured successfully. Analysis of the obtained spectra was performed using a deconvolution of the experimental bands into Lorentz components. All integral intensities of the observed bands were standardized using the statistical R2 coefficient of determination. The R2 values were automatically created as the output of the Origin software. The time-dependent changes of the spectra were used for meat spoilage detection. The analytical relationships between the integral intensities of selected bands have been derived indicating an increase of free amino acids content as the main effect of the chicken breast muscle spoilage.
Author Adam Zając (EaE / IChaFT / DBCh)
Adam Zając,,
- Department of Bioorganic Chemistry
, Lucyna Dymińska (EaE / IChaFT / DBCh)
Lucyna Dymińska,,
- Department of Bioorganic Chemistry
, Jadwiga Lorenc (EaE / IChaFT / DBCh)
Jadwiga Lorenc,,
- Department of Bioorganic Chemistry
, Jerzy Hanuza (EaE / IChaFT / DBCh) - [inna]
Jerzy Hanuza,,
- Department of Bioorganic Chemistry
- inna
Journal seriesFood Analytical Methods, ISSN 1936-9751, e-ISSN 1936-976X, (A 30 pkt)
Issue year2017
Vol10
No3
Pages640-648
Publication size in sheets0.5
Keywords in Englishchicken, meat spoilage detection, fourier transform IR and Raman spectra
ASJC Classification3311 Safety Research; 2213 Safety, Risk, Reliability and Quality; 2402 Applied Microbiology and Biotechnology; 1106 Food Science; 1602 Analytical Chemistry
DOIDOI:10.1007/s12161-016-0636-x
Languageen angielski
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Fourier Transform Infrared and Raman Spectroscopy Studies_2017.pdf 683,82 KB
Score (nominal)30
ScoreMinisterial score = 30.0, 02-07-2019, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.804; WoS Impact Factor: 2017 = 2.245 (2) - 2017=2.2 (5)
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