M. F. Ulum, Adelaide Jose Pereira Cristovao, Surya Kusuma Wijaya, F. A. Pamungkas, J. Jakaria
{"title":"Electrical impedance tomography for meat marbling prediction","authors":"M. F. Ulum, Adelaide Jose Pereira Cristovao, Surya Kusuma Wijaya, F. A. Pamungkas, J. Jakaria","doi":"10.29244/avl.8.1.19-20","DOIUrl":null,"url":null,"abstract":"Electrical Impedance Tomography (EIT) is a promising noninvasive technology for predicting meat quality traits, such as marbling in beef. Marbling, characterized by intramuscular fat, significantly influences beef quality by enhancing flavor, tenderness, and juiciness. This review evaluated the application of EIT in meat quality control, highlighting its ability to measure changes in conductivity to assess marbling and other quality attributes. Integrating EIT with machine-learning techniques further refines its predictive capabilities. Although EIT provides real-time, noninvasive assessments with lower costs, challenges like lower signal-to-noise ratios and complex algorithm requirements persist. Future directions include the integration of EIT with modern packaging systems and automation tools to enhance meat quality monitoring and industrial efficiency.","PeriodicalId":502347,"journal":{"name":"ARSHI Veterinary Letters","volume":" 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARSHI Veterinary Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29244/avl.8.1.19-20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Electrical Impedance Tomography (EIT) is a promising noninvasive technology for predicting meat quality traits, such as marbling in beef. Marbling, characterized by intramuscular fat, significantly influences beef quality by enhancing flavor, tenderness, and juiciness. This review evaluated the application of EIT in meat quality control, highlighting its ability to measure changes in conductivity to assess marbling and other quality attributes. Integrating EIT with machine-learning techniques further refines its predictive capabilities. Although EIT provides real-time, noninvasive assessments with lower costs, challenges like lower signal-to-noise ratios and complex algorithm requirements persist. Future directions include the integration of EIT with modern packaging systems and automation tools to enhance meat quality monitoring and industrial efficiency.
电阻抗断层扫描(EIT)是一种很有前途的非侵入性技术,可用于预测牛肉的肉质特征,如大理石纹。大理石花纹以肌肉内脂肪为特征,通过增强风味、嫩度和多汁性而显著影响牛肉品质。本综述评估了 EIT 在肉类质量控制中的应用,强调了其测量电导率变化以评估大理石花纹和其他质量属性的能力。将 EIT 与机器学习技术相结合可进一步完善其预测能力。虽然 EIT 能以较低的成本提供实时、无创的评估,但仍存在一些挑战,如较低的信噪比和复杂的算法要求。未来的发展方向包括将 EIT 与现代包装系统和自动化工具相结合,以提高肉类质量监测和工业效率。