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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2024-06-01
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Series: | Journal of Electrical Bioimpedance |
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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. |
format | Article |
id | doaj-art-ea572658d27942a1840adf2c26852a83 |
institution | Kabale University |
issn | 1891-5469 |
language | English |
publishDate | 2024-06-01 |
publisher | Sciendo |
record_format | Article |
series | Journal of Electrical Bioimpedance |
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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