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Suliga P, Schneider S, Gonzalez J, Egelandsdal B, Alvseike O, Abie SM, Münch D. A new histopathology scoring protocol reveals myopathy features in PSE-like pork. Meat Sci 2024; 216:109558. [PMID: 38850887 DOI: 10.1016/j.meatsci.2024.109558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/04/2024] [Accepted: 06/03/2024] [Indexed: 06/10/2024]
Abstract
Pale, Soft, and Exudative (PSE)-like pork defects are associated with fiber destruction and pale discoloration and have become a severe economic burden for the European meat sector. However, robust detection of PSE-like pork and its diverse features is challenging and makes studies into defect causation difficult. Implementation of histological examination may improve our knowledge about less-known features linked to PSE-like defects. Here we evaluate if a new histological protocol can reveal how myopathy in ham may be associated with visual and traditional physicochemical anomalies of PSE-like pork. We first created a list of pathological features, quantified them, and integrated them into a myodegeneration scoring scheme (MYO) for semimembranosus muscle sections. We then explored potential associations between overall MYO scoring and individual histology features with visual PSE-like defect scoring (DES) and with individual meat quality variables [pHu, color: L*, a*, b* (CIELAB), bioimpedance, and near-infrared spectroscopy (NIR)]. As the primary finding of this study, we show a significant association between overall myopathy (MYO) scoring and PSE-like defect (DES) scores. We also found associations of specific myopathy features with DES scores, and of overall MYO scoring with specific quality variables. In all, our data suggest links between signs of acute myodegeneration and PSE-like defects. Our data, hence, supports the implementation of semi-quantitative histopathological approaches for diagnosing PSE-like pork features and may help identify the underlying mechanisms behind these defects.
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Affiliation(s)
- P Suliga
- Department of Ecology and Natural Resource Management, The Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Ås, Norway.
| | - S Schneider
- Department of Pathology, University of Georgia, 501 D. W. Brooks Drive, Athens, GA 30602, United States
| | - J Gonzalez
- Department of Animal and Dairy Science, University of Georgia, 425 River Road, Athens, GA 30602, United States
| | - B Egelandsdal
- KBM Faculty, The Norwegian University of Life Sciences, P.O. Box 5003, NO-1433 Ås, Norway
| | - O Alvseike
- Animalia, Norwegian Meat and Poultry Research Centre, Lørenveien 38, NO-0580 Oslo, Norway
| | - S M Abie
- Department of Ecology and Natural Resource Management, The Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Ås, Norway
| | - D Münch
- Department of Ecology and Natural Resource Management, The Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Ås, Norway; Animalia, Norwegian Meat and Poultry Research Centre, Lørenveien 38, NO-0580 Oslo, Norway
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Abie SM, Suliga P, Egelandsdal B, Münch D. Bioimpedance as an alternative tool for subjective, visual scoring of a prevalent ham quality defect. JOURNAL OF ELECTRICAL BIOIMPEDANCE 2024; 15:75-84. [PMID: 38947175 PMCID: PMC11213458 DOI: 10.2478/joeb-2024-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Indexed: 07/02/2024]
Abstract
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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Affiliation(s)
- Sisay Mebre Abie
- Faculty of Ecology and Natural Resource Management, Norwegian University of Life Sciences, 1432Ås, Norway
| | - Paweł Suliga
- Faculty of Ecology and Natural Resource Management, Norwegian University of Life Sciences, 1432Ås, Norway
| | - Bjørg Egelandsdal
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432Ås, Norway
| | - Daniel Münch
- Faculty of Ecology and Natural Resource Management, Norwegian University of Life Sciences, 1432Ås, Norway
- Animalia, Norwegian Meat and Poultry Research Center, 0513Oslo, Norway
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Lee S, Jo K, Jeong SKC, Jeon H, Choi YS, Jung S. Recent strategies for improving the quality of meat products. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2023; 65:895-911. [PMID: 37969348 PMCID: PMC10640940 DOI: 10.5187/jast.2023.e94] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/05/2023] [Accepted: 09/05/2023] [Indexed: 11/17/2023]
Abstract
Processed meat products play a vital role in our daily dietary intake due to their rich protein content and the inherent convenience they offer. However, they often contain synthetic additives and ingredients that may pose health risks when taken excessively. This review explores strategies to improve meat product quality, focusing on three key approaches: substituting synthetic additives, reducing the ingredients potentially harmful when overconsumed like salt and animal fat, and boosting nutritional value. To replace synthetic additives, natural sources like celery and beet powders, as well as atmospheric cold plasma treatment, have been considered. However, for phosphates, the use of organic alternatives is limited due to the low phosphate content in natural substances. Thus, dietary fiber has been used to replicate phosphate functions by enhancing water retention and emulsion stability in meat products. Reducing the excessive salt and animal fat has garnered attention. Plant polysaccharides interact with water, fat, and proteins, improving gel formation and water retention, and enabling the development of low-salt and low-fat products. Replacing saturated fats with vegetable oils is also an option, but it requires techniques like Pickering emulsion or encapsulation to maintain product quality. These strategies aim to reduce or replace synthetic additives and ingredients that can potentially harm health. Dietary fiber offers numerous health benefits, including gut health improvement, calorie reduction, and blood glucose and lipid level regulation. Natural plant extracts not only enhance oxidative stability but also reduce potential carcinogens as antioxidants. Controlling protein and lipid bioavailability is also considered, especially for specific consumer groups like infants, the elderly, and individuals engaged in physical training with dietary management. Future research should explore the full potential of dietary fiber, encompassing synthetic additive substitution, salt and animal fat reduction, and nutritional enhancement. Additionally, optimal sources and dosages of polysaccharides should be determined, considering their distinct properties in interactions with water, proteins, and fats. This holistic approach holds promise for improving meat product quality with minimal processing.
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Affiliation(s)
- Seonmin Lee
- Division of Animal and Dairy Science,
Chungnam National University, Daejeon 34134, Korea
| | - Kyung Jo
- Division of Animal and Dairy Science,
Chungnam National University, Daejeon 34134, Korea
| | - Seul-Ki-Chan Jeong
- Division of Animal and Dairy Science,
Chungnam National University, Daejeon 34134, Korea
| | - Hayeon Jeon
- Division of Animal and Dairy Science,
Chungnam National University, Daejeon 34134, Korea
| | - Yun-Sang Choi
- Research Group of Food Processing, Korea
Food Research Institute, Wanju 55365, Korea
| | - Samooel Jung
- Division of Animal and Dairy Science,
Chungnam National University, Daejeon 34134, Korea
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Osen DE, Abie SM, Martinsen ØG, Egelandsdal B, Münch D. Bioimpedance-based Authentication of Defrosted Versus Fresh Pork at the End of Refrigerated Shelf Life. JOURNAL OF ELECTRICAL BIOIMPEDANCE 2022; 13:125-131. [PMID: 36699663 PMCID: PMC9837875 DOI: 10.2478/joeb-2022-0017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Indexed: 06/17/2023]
Abstract
Correct food labeling is a legal requirement and helps consumers to make informed purchasing choices. Mislabeling defrosted meat as fresh is illegal in the EU. However, there are no standardized technologies to authenticate fresh versus defrosted meat. We address this by testing if bioimpedance-based measurements can separate defrosted meat from refrigerated-only meat at the end of shelf life, i.e., when also fresh meat shows deterioration. Pork sirloin samples from 20 pigs were first tested at 12 days postmortem ('fresh group'). This time point was chosen to represent a typical use-by date for refrigerated storage of fresh pork. Then, all samples were transferred to a -24°C freezer for 3 days and thawed for 2 days before final testing ('frozen-thawed group'). Bioimpedance analyses (BIA) were done in a frequency range of [102-106 Hz]. Weight, pH and electrode positioning were assessed to test for potential confounding effects. Statistics for treatment dependent differences were based on the established Py parameter and phase angle, which were extracted from the BI spectra. We found that using bioimpedance testing with tetrapolar electrodes, Py and phase angle allowed almost complete separation of fresh and previously frozen samples. However, within the whole sample population, there was some overlap between the spectra of fresh and frozen samples. Yet, based on Py, only one fresh sample (5% of Ntotal=20) fell in the lowest Py class with all the frozen samples. We used a multifactorial design that allowed to test the effects of potential confounding factors, such as electrode positioning and meat quality parameters. We found a relatively low explained variance for the Py parameter, indicating that confounding effects from other factors or quality defects in fresh pork may affect the detection capacity of bioimpedance-based authentication of fresh pork. Our data, therefore, suggest that reliable fresh-label authentication with bioimpedance testing should be based on testing a small number of samples to represent a specific lot of pork that is to be inspected.
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Affiliation(s)
- Daniel E. Osen
- Department of Physics, University of Oslo, 0316Oslo, Norway
| | - Sisay Mebre Abie
- Department of Physics, University of Oslo, 0316Oslo, Norway
- Faculty of Ecology and Natural Resource Management, Norwegian University of Life Sciences, 1432 Ås, Oslo, Norway
| | - Ørjan G. Martinsen
- Department of Physics, University of Oslo, 0316Oslo, Norway
- Department of Clinical and Biomedical Engineering, Oslo University Hospital, 0372Oslo, Norway
| | - Bjørg Egelandsdal
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432 Ås, Oslo, Norway
| | - Daniel Münch
- Animalia, Norwegian Meat and Poultry Research Center, 0513Oslo, Norway
- Faculty of Ecology and Natural Resource Management, Norwegian University of Life Sciences, 1432 Ås, Oslo, Norway
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