Quality evaluation and shelf-life prediction model establishment of magnetic field-assisted modified atmosphere-packaged Gushi goose blocks based on game theory-weighted optimization

Quality preservation and shelf-life extension remain critical challenges in prepared meat products. This study systematically evaluated the preservation efficacy of modified atmosphere packaging (MAP) and magnetic field (MF)-assisted MAP on prepared Gushi goose blocks, while constructing a high-precision shelf-life prediction model integrated with game theory-based weight optimization. Results indicated that low-intensity (5 mT) alternating MF combined with 30% CO 2 /70% N 2 MAP significantly inhibited microbial proliferation and total volatile basic nitrogen (TVB-N) accumulation, preserved water-holding capacity (WHC), and color stability. At 4°C,shelf life was increased by 106.77% (based on total viable count (TVC)) or 115.23% (based on total volatile basic nitrogen (TVB-N)) compared to conventional MAP. After weighting calculations and correction of indicator correlation coefficients, the game theory-optimized model achieved a relative error below 20%, which significantly outperformed traditional models. This research provides theoretical support for the high-quality development of the prepared meat industry and expands the application of game theory in food shelf-life modeling. • A quality assessment of MF-assisted MAP was conducted on Gushi goose blocks. • MF-assisted MAP treatment prolonged shelf life versus MAP-only treatment. • A game theory-optimized model with relative error < 20% has been established. • The application of game theory in modeling meat shelf life has been expanded.

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Publication Details

Journal
LWT
Published
2026-04-17
DOI
https://doi.org/10.1016/j.lwt.2026.119391
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
0.00

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article

Quality evaluation and shelf-life prediction model establishment of magnetic field-assisted modified atmosphere-packaged Gushi goose blocks based on game theory-weighted optimization

Zongshuai Zhu, Junzhou Guo, Hui Wang, Xuehua Zhang et al.
LWT
Meat and Animal Product Quality
article

Quality evaluation and shelf-life prediction model establishment of magnetic field-assisted modified atmosphere-packaged Gushi goose blocks based on game theory-weighted optimization

Zongshuai Zhu, Junzhou Guo, Hui Wang, Xuehua Zhang, Ming Huang, Guanglei Li
article en

Abstract

Quality preservation and shelf-life extension remain critical challenges in prepared meat products. This study systematically evaluated the preservation efficacy of modified atmosphere packaging (MAP) and magnetic field (MF)-assisted MAP on prepared Gushi goose blocks, while constructing a high-precision shelf-life prediction model integrated with game theory-based weight optimization. Results indicated that low-intensity (5 mT) alternating MF combined with 30% CO 2 /70% N 2 MAP significantly inhibited microbial proliferation and total volatile basic nitrogen (TVB-N) accumulation, preserved water-holding capacity (WHC), and color stability. At 4°C,shelf life was increased by 106.77% (based on total viable count (TVC)) or 115.23% (based on total volatile basic nitrogen (TVB-N)) compared to conventional MAP. After weighting calculations and correction of indicator correlation coefficients, the game theory-optimized model achieved a relative error below 20%, which significantly outperformed traditional models. This research provides theoretical support for the high-quality development of the prepared meat industry and expands the application of game theory in food shelf-life modeling. • A quality assessment of MF-assisted MAP was conducted on Gushi goose blocks. • MF-assisted MAP treatment prolonged shelf life versus MAP-only treatment. • A game theory-optimized model with relative error < 20% has been established. • The application of game theory in modeling meat shelf life has been expanded.

LWTVol. 248
Nanjing Agricultural University (CN), Henan Institute of Science and Technology (CN)
Henan Institute of Science and Technology
Responsible consumption and production
Openalex Percentile: Top 11%
Meat and Animal Product Quality
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