HEAL DSpace

Rapid monitoring of the spoilage of minced beef stored under conventionally and active packaging conditions using Fourier transform infrared spectroscopy in tandem with chemometrics

Αποθετήριο DSpace/Manakin

Εμφάνιση απλής εγγραφής

dc.contributor.author Ammor, MS en
dc.contributor.author Argyri, A en
dc.contributor.author Nychas, G-JE en
dc.date.accessioned 2014-06-06T06:49:41Z
dc.date.available 2014-06-06T06:49:41Z
dc.date.issued 2009 en
dc.identifier.issn 03091740 en
dc.identifier.uri http://dx.doi.org/10.1016/j.meatsci.2008.10.015 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/4717
dc.subject Active packaging en
dc.subject Chemometrics en
dc.subject FTIR-ATR en
dc.subject Metabolic indicators en
dc.subject Minced beef en
dc.subject Modified atmosphere packaging en
dc.subject Spoilage en
dc.subject.other Bacteria (microorganisms) en
dc.title Rapid monitoring of the spoilage of minced beef stored under conventionally and active packaging conditions using Fourier transform infrared spectroscopy in tandem with chemometrics en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.meatsci.2008.10.015 en
heal.publicationDate 2009 en
heal.abstract Fourier transform infrared (FTIR) spectroscopy was exploited to measure biochemical changes within fresh minced beef in an attempt to rapidly monitor beef spoilage. Minced beef packaged either aerobically, under modified atmosphere and using an active packaging were held from freshness to spoilage at 0, 5, 10, and 15 °C. Frequent FTIR measurements were collected directly from the sample surface using attenuated total reflectance, in parallel the total viable counts of bacteria, the sensory quality and the pH were also determined. Principal components analysis allowed illuminating the wavenumbers potentially correlated with the spoilage process. Qualitative interpretation of spectral data was carried out using discriminant factorial analysis and used to corroborate sensory data and to accurately determine samples freshness and packaging. Partial least-squares regressions permitted estimates of bacterial loads and pH values from the spectral data with a fit of R2 = 0.80 for total viable counts and fit of R2 = 0.92 for the pH. Obtained results demonstrated that a FTIR spectrum may be considered as a metabolic fingerprint and that the method in tandem with chemometrics represents a powerful, rapid, economical and non-invasive method for monitoring minced beef freshness regardless the storage conditions (e.g. packaging and temperature). © 2008 Elsevier Ltd. All rights reserved. en
heal.journalName Meat Science en
dc.identifier.issue 3 en
dc.identifier.volume 81 en
dc.identifier.doi 10.1016/j.meatsci.2008.10.015 en
dc.identifier.spage 507 en
dc.identifier.epage 514 en


Αρχεία σε αυτό το τεκμήριο

Αρχεία Μέγεθος Μορφότυπο Προβολή

Δεν υπάρχουν αρχεία που σχετίζονται με αυτό το τεκμήριο.

Αυτό το τεκμήριο εμφανίζεται στην ακόλουθη συλλογή(ές)

Εμφάνιση απλής εγγραφής

Αναζήτηση DSpace


Σύνθετη Αναζήτηση

Αναζήτηση

Ο Λογαριασμός μου

Στατιστικές