Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defect

The detection of meat quality defects can involve both subjective and objective methods. PSE-like meat is linked to a common pork defect and can be caused by rapid post-mortem damage of muscle fibers. This damage can again be linked to various factors, such as a low ultimate pH or a higher slaughter...

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Main Authors: Abie Sisay Mebre, Suliga Paweł, Egelandsdal Bjørg, Münch Daniel
Format: Article
Language:English
Published: Sciendo 2024-06-01
Series:Journal of Electrical Bioimpedance
Subjects:
Online Access:https://doi.org/10.2478/joeb-2024-0008
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author Abie Sisay Mebre
Suliga Paweł
Egelandsdal Bjørg
Münch Daniel
author_facet Abie Sisay Mebre
Suliga Paweł
Egelandsdal Bjørg
Münch Daniel
author_sort Abie Sisay Mebre
collection DOAJ
description The detection of meat quality defects can involve both subjective and objective methods. PSE-like meat is linked to a common pork defect and can be caused by rapid post-mortem damage of muscle fibers. This damage can again be linked to various factors, such as a low ultimate pH or a higher slaughter weight. PSE-like defects are characterized by discoloration, structural damage, and excessive moisture loss. However, the lack of suitable instrument-based methods makes the detection of PSE-like defects difficult, and subjective methods typically suffer from poorer reproducibility. The objective of this study was to establish how subjective visual evaluation correlates with electrical impedance spectroscopy and with traditional quality parameters. To do so, visual scoring was performed together with measurements of bioimpedance, color, and pH in two ham muscles (Adductor, Semimembranosus) for 136 animals 24-hours post-mortem. When comparing with visual scoring, Pearson correlation analysis shows the strongest correlation for bioimpedance (Py, r = −0.46, R2 = 21%), followed by pHu (r = 0.44, R2 = 19%). When using all five quality measures, i.e., Py, pHu, and CIELAB L* a* b*, the multivariate regression model had a prediction error of 0.76 for the visual scores. This was close to the error describing the subjective bias of visual scoring, more specifically the prediction error between the two observers (0.85). In all, Py showed the strongest correlation among instrument-based quality tests and alone may be used for predicting pork ham structural defects, i.e., as an instrument-based alternative for subjective, visual scoring. However, an instrument that combines Py with pH and/or L*a*b* would improve the prediction of PSE-like quality defects.
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spelling doaj-art-ea572658d27942a1840adf2c26852a832025-01-20T11:09:56ZengSciendoJournal of Electrical Bioimpedance1891-54692024-06-01151758410.2478/joeb-2024-0008Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defectAbie Sisay MebreSuliga PawełEgelandsdal Bjørg0Münch Daniel12Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432Ås, Norway1Faculty of Ecology and Natural Resource Management, Norwegian University of Life Sciences, 1432Ås, NorwayThe detection of meat quality defects can involve both subjective and objective methods. PSE-like meat is linked to a common pork defect and can be caused by rapid post-mortem damage of muscle fibers. This damage can again be linked to various factors, such as a low ultimate pH or a higher slaughter weight. PSE-like defects are characterized by discoloration, structural damage, and excessive moisture loss. However, the lack of suitable instrument-based methods makes the detection of PSE-like defects difficult, and subjective methods typically suffer from poorer reproducibility. The objective of this study was to establish how subjective visual evaluation correlates with electrical impedance spectroscopy and with traditional quality parameters. To do so, visual scoring was performed together with measurements of bioimpedance, color, and pH in two ham muscles (Adductor, Semimembranosus) for 136 animals 24-hours post-mortem. When comparing with visual scoring, Pearson correlation analysis shows the strongest correlation for bioimpedance (Py, r = −0.46, R2 = 21%), followed by pHu (r = 0.44, R2 = 19%). When using all five quality measures, i.e., Py, pHu, and CIELAB L* a* b*, the multivariate regression model had a prediction error of 0.76 for the visual scores. This was close to the error describing the subjective bias of visual scoring, more specifically the prediction error between the two observers (0.85). In all, Py showed the strongest correlation among instrument-based quality tests and alone may be used for predicting pork ham structural defects, i.e., as an instrument-based alternative for subjective, visual scoring. However, an instrument that combines Py with pH and/or L*a*b* would improve the prediction of PSE-like quality defects.https://doi.org/10.2478/joeb-2024-0008bioimpedancesubjective visual scoringhammeat defects
spellingShingle Abie Sisay Mebre
Suliga Paweł
Egelandsdal Bjørg
Münch Daniel
Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defect
Journal of Electrical Bioimpedance
bioimpedance
subjective visual scoring
ham
meat defects
title Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defect
title_full Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defect
title_fullStr Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defect
title_full_unstemmed Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defect
title_short Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defect
title_sort bioimpedance as an alternative tool for subjective visual scoring of a prevalent ham quality defect
topic bioimpedance
subjective visual scoring
ham
meat defects
url https://doi.org/10.2478/joeb-2024-0008
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AT suligapaweł bioimpedanceasanalternativetoolforsubjectivevisualscoringofaprevalenthamqualitydefect
AT egelandsdalbjørg bioimpedanceasanalternativetoolforsubjectivevisualscoringofaprevalenthamqualitydefect
AT munchdaniel bioimpedanceasanalternativetoolforsubjectivevisualscoringofaprevalenthamqualitydefect