Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey ham

A non-destructive Vis-NIR spectroscopy (400-1000 nm) method was developed to evaluate the loss of freshness of sliced and commercially packaged cooked ham and turkey ham without any sample manipulation. The spectra were recorded at 0, 30, 40, and 60 days using a camera, spectral filter (400-1000 nm)...

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Main Authors: Joel Girón, Eugenio Ivorra, Antonio J. Sánchez, Isabel Fernández-Segovia, José M. Barat, Raúl Grau
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2014-08-01
Series:Czech Journal of Food Sciences
Subjects:
Online Access:https://cjfs.agriculturejournals.cz/artkey/cjf-201404-0010_preliminary-study-using-visible-and-sw-nir-analysis-for-evaluating-the-loss-of-freshness-in-commercially-packag.php
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author Joel Girón
Eugenio Ivorra
Antonio J. Sánchez
Isabel Fernández-Segovia
José M. Barat
Raúl Grau
author_facet Joel Girón
Eugenio Ivorra
Antonio J. Sánchez
Isabel Fernández-Segovia
José M. Barat
Raúl Grau
author_sort Joel Girón
collection DOAJ
description A non-destructive Vis-NIR spectroscopy (400-1000 nm) method was developed to evaluate the loss of freshness of sliced and commercially packaged cooked ham and turkey ham without any sample manipulation. The spectra were recorded at 0, 30, 40, and 60 days using a camera, spectral filter (400-1000 nm) and a halogen floodlighting system which had been were developed and calibrated for the purpose. Physico-chemical, biochemical, and microbiological properties such as pH, total volatile basic nitrogen (TVB-N), ATP breakdown compounds, and colony-forming units were determined to predict the degradation of freshness. The image spectra obtained from visible and SW-NIR spectroscopy were related to the storage time of the samples. A PLS-DA model was developed independently for packaged or unpackaged samples using the second derivative of the spectra. Mean R2 prediction obtained for cooked ham was 0.915 and 0.949 for Turkey ham. The technique developed could be applied to monitoring the freshness of commercial packed cooked ham and turkey ham as a non-destructive technique. Further studies will be needed to check the spectra obtained from samples of different commercial brands in order to evaluate more precisely the efficiency of the method.
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spelling doaj.art-947e7a4d50044aecae4bd8526c2223ef2023-02-23T03:28:07ZengCzech Academy of Agricultural SciencesCzech Journal of Food Sciences1212-18001805-93172014-08-0132437638310.17221/370/2013-CJFScjf-201404-0010Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey hamJoel Girón0Eugenio Ivorra1Antonio J. Sánchez2Isabel Fernández-Segovia3José M. Barat4Raúl Grau5Department of Food Tecnology andDepartment of Systems Engineering and Control, Polytechnic University of Valencia, Valencia, SpainDepartment of Systems Engineering and Control, Polytechnic University of Valencia, Valencia, SpainDepartment of Food Tecnology andDepartment of Food Tecnology andDepartment of Food Tecnology andA non-destructive Vis-NIR spectroscopy (400-1000 nm) method was developed to evaluate the loss of freshness of sliced and commercially packaged cooked ham and turkey ham without any sample manipulation. The spectra were recorded at 0, 30, 40, and 60 days using a camera, spectral filter (400-1000 nm) and a halogen floodlighting system which had been were developed and calibrated for the purpose. Physico-chemical, biochemical, and microbiological properties such as pH, total volatile basic nitrogen (TVB-N), ATP breakdown compounds, and colony-forming units were determined to predict the degradation of freshness. The image spectra obtained from visible and SW-NIR spectroscopy were related to the storage time of the samples. A PLS-DA model was developed independently for packaged or unpackaged samples using the second derivative of the spectra. Mean R2 prediction obtained for cooked ham was 0.915 and 0.949 for Turkey ham. The technique developed could be applied to monitoring the freshness of commercial packed cooked ham and turkey ham as a non-destructive technique. Further studies will be needed to check the spectra obtained from samples of different commercial brands in order to evaluate more precisely the efficiency of the method.https://cjfs.agriculturejournals.cz/artkey/cjf-201404-0010_preliminary-study-using-visible-and-sw-nir-analysis-for-evaluating-the-loss-of-freshness-in-commercially-packag.phpspectroscopyhyperspectral camerastorage timecold meat
spellingShingle Joel Girón
Eugenio Ivorra
Antonio J. Sánchez
Isabel Fernández-Segovia
José M. Barat
Raúl Grau
Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey ham
Czech Journal of Food Sciences
spectroscopy
hyperspectral camera
storage time
cold meat
title Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey ham
title_full Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey ham
title_fullStr Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey ham
title_full_unstemmed Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey ham
title_short Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey ham
title_sort preliminary study using visible and sw nir analysis for evaluating the loss of freshness in commercially packaged cooked ham and turkey ham
topic spectroscopy
hyperspectral camera
storage time
cold meat
url https://cjfs.agriculturejournals.cz/artkey/cjf-201404-0010_preliminary-study-using-visible-and-sw-nir-analysis-for-evaluating-the-loss-of-freshness-in-commercially-packag.php
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