Literature DB >> 22063695

A comparison of warmed-over flavour in pork by sensory analysis, GC/MS and the electronic nose.

M G O'Sullivan1, D V Byrne, M T Jensen, H J Andersen, J Vestergaard.   

Abstract

Pork muscle samples (M. longissimus dorsi and M. psoas major) were obtained from pigs given one of 4 dietary treatments, (i) control diet, (ii) supplemental iron (300 mg iron (II) sulphate/kg feed), (iii) supplemental vitamin E (200 mg dl-α-tocopheryl acetate/kg of feed) and (iv) supplemental vitamin E+supplemental iron. Warmed-over flavour (WOF) was evaluated by a trained sensory panel (n=8) for the four treatments cooked and refrigerated at 4 °C for up to 5 days. Gas chromatography mass spectrometry (GC/MS) and Electronic nose analysis was performed on a subset of the full design which included samples of M. longissimus dorsi, treatments (ii) and (iii) and M. psoas major with treatment (i) for 0 days of WOF development. Day 5 of WOF development was included in the subset and represented by samples of M. longissimus dorsi, treatment (iv) and M. psoas major, treatments (ii) and (iii). Bi-linear modeling was used to determine the correlation of GC/MS and electronic nose data to sensory data. Also, the reproducibility and reliability of electronic nose data was evaluated by repeating the analysis of samples in a different laboratory and with a time difference of approximately 11 months. Mean-centring was used to normalise the data from these two different electronic noise data sets. GC/MS data correlated to sensory data with specific compounds (e.g., pentanal, 2-pentylfuran, octanal, nonanal, 1-octen-3-ol and hexanal), proving to be good indices of oxidation in cooked samples of M. longissimus dorsi and M. psoas major. Electronic nose data correlated to sensory data and separated the sensory variation. The reproducibility of this data was high with the second set of samples being predictive of the first set.

Entities:  

Year:  2003        PMID: 22063695     DOI: 10.1016/S0309-1740(02)00342-X

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


  4 in total

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Journal:  J Food Sci Technol       Date:  2011-02-17       Impact factor: 2.701

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Journal:  J Food Sci Technol       Date:  2016-06-22       Impact factor: 2.701

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Authors:  John S K Yuen; Andrew J Stout; N Stephanie Kawecki; Sophia M Letcher; Sophia K Theodossiou; Julian M Cohen; Brigid M Barrick; Michael K Saad; Natalie R Rubio; Jaymie A Pietropinto; Hailey DiCindio; Sabrina W Zhang; Amy C Rowat; David L Kaplan
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4.  Mesophilic and psychrotrophic bacteria from meat and their spoilage potential in vitro and in beef.

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Journal:  Appl Environ Microbiol       Date:  2009-02-05       Impact factor: 4.792

  4 in total

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