Araştırma Makalesi

Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model

Cilt: 17 3 Haziran 2026
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Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model

Öz

This study investigated the use of a machine learning approach to predict oxidative changes during the storage of modified atmosphere packed (MAP) ground beef. Peroxide, TBARS, titratable acidity, and mercaptan levels were used as indicators for oxidative deterioration and integrated into Random Forest model. The obtained model had an R2 value of 0.867, indicating acceptable prediction performance with low prediction errors. The model achieved a classification accuracy of 0.914. Furthermore, it was determined that the peroxide value is the most effective parameter reflecting the early stage of lipid oxidation, while the TBARS value represents the gradually developing secondary oxidation process. The results suggested that evaluating oxidative indicators using machine learning can be a reliable tool for monitoring freshness of MAP-packed ground beef.

Anahtar Kelimeler

Kaynakça

  1. Huang, X. and D.U. Ahn, Lipid oxidation and its implications to meat quality and human health. Food Science Biotechnology, 28(5), 1275-1285, 2019. https://doi.org/10.1007/s10068-019-00631-7.
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  3. Wazir, H., S.Y. Chay, M. Zarei, F.S. Hussin, N.A. Mustapha, W.Z. Wan Ibadullah, and N. Saari, Effects of Storage Time and Temperature on Lipid Oxidation and Protein Co-Oxidation of Low-Moisture Shredded Meat Products. Antioxidants (Basel), 8(10), 486, 2019. https://doi.org/10.3390/antiox8100486.
  4. Durand, E., M. Laguerre, C. Bourlieu-Lacanal, J. Lecomte, and P. Villeneuve, Navigating the complexity of lipid oxidation and antioxidation: A review of evaluation methods and emerging approaches. Prog Lipid Res, 97, 101317, 2025. https://doi.org/10.1016/j.plipres.2024.101317.
  5. Dave, D. and A.E. Ghaly, Meat spoilage mechanisms and preservation techniques: a critical review. American Journal of Agricultural Biological Sciences, 6(4), 486-510, 2011. https://doi.org/10.3844/ajabssp.2011.486.510.
  6. Gray, J.I. and F.J. Monahan, Measurement of lipid oxidation in meat and meat products. Trends in Food Science Technology, 3, 315-319, 1992. https://doi.org/10.1016/S0924-2244(10)80019-6.
  7. Bi, J., J. Zhang, Z. Chen, L. Li, Y. Li, W. Liu, R. Qin, L. Zhang, and H. He, Dynamic patterns of quality deterioration, oxidative stability, and flavor evolution in yuba during long-term storage. Food Chemistry X, 29, 102760, 2025. https://doi.org/10.1016/j.fochx.2025.102760.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Gıda Mühendisliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

3 Haziran 2026

Gönderilme Tarihi

3 Nisan 2026

Kabul Tarihi

1 Mayıs 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 17

Kaynak Göster

APA
Var, G. B., & Özer, C. O. (2026). Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 17. https://doi.org/10.28948/ngumuh.1922495
AMA
1.Var GB, Özer CO. Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model. NÖHÜ Müh. Bilim. Derg. 2026;17. doi:10.28948/ngumuh.1922495
Chicago
Var, Ganime Beyzanur, ve Cem Okan Özer. 2026. “Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 17 (Haziran). https://doi.org/10.28948/ngumuh.1922495.
EndNote
Var GB, Özer CO (01 Haziran 2026) Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 17
IEEE
[1]G. B. Var ve C. O. Özer, “Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model”, NÖHÜ Müh. Bilim. Derg., c. 17, Haz. 2026, doi: 10.28948/ngumuh.1922495.
ISNAD
Var, Ganime Beyzanur - Özer, Cem Okan. “Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 17 (01 Haziran 2026). https://doi.org/10.28948/ngumuh.1922495.
JAMA
1.Var GB, Özer CO. Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model. NÖHÜ Müh. Bilim. Derg. 2026;17. doi:10.28948/ngumuh.1922495.
MLA
Var, Ganime Beyzanur, ve Cem Okan Özer. “Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, c. 17, Haziran 2026, doi:10.28948/ngumuh.1922495.
Vancouver
1.Ganime Beyzanur Var, Cem Okan Özer. Monitoring the oxidative deterioration process in modified atmosphere packaged ground meat using a machine learning-based model. NÖHÜ Müh. Bilim. Derg. 01 Haziran 2026;17. doi:10.28948/ngumuh.1922495