基于高光谱技术检测包装生牛肉质量下降的情况
Cheng Wu1,2, Yingjie Feng1, Jiarui Cui1
1School of Food Science and Engineering Ningxia University Yinchuan China.
Food science & nutrition
|March 20, 2025
概括
超光谱成像 (HSI) 与高斯过相结合,通过分析脂质氧化指标,如甲 (MDA),有效地监测聚乙烯包装中的生牛肉的新鲜度. 这种非侵入性技术为肉类行业提供了可靠的质量保证.
科学领域:
- 食品科学与技术 食品科学与技术
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 在储存和运输过程中对新鲜肉质量和安全性的实时监测至关重要.
- 脂质氧化,指的是malondialdehyde (MDA) 含量,是生牛肉的关键质量指标.
- 聚乙烯 (PE) 包装可以干扰光谱数据分析.
研究的目的:
- 探索使用高光谱成像 (HSI) 结合化学测量和深度学习来检测PE包装原牛肉质量下降的可行性.
- 调查过技术在克服包装膜干扰方面的有效性.
- 开发一种可靠的非侵入性方法,用于实时评估包装生肉的质量.
主要方法:
- 近红外HSI (400-1000nm) 用于在短期存储期间收集生牛肉样本的光谱和空间数据.
- 部分最小平方回归 (PLSR) 和优化算法优化回声状态网络 (BES-ESN) 已开发用于多变量数据分析.
- 应用高斯过以减轻PE包装膜的干扰.
主要成果:
- 使用PE包装牛肉开发的模型与未包装的样本相比,通常表现较差.
- 最佳模型实现了0.8309的确定系数 (R2P) 和0.2180.0.2的预测平均平方误差 (RMSEP) 的根.
- 与高斯过和多变量分析相结合的HSI提供了一个有效的工具,用于评估PE包装中的牛肉新鲜度.
结论:
- 超光谱成像是一种有前途的非侵入性技术,用于实时监测包装生肉的质量.
- 高斯过有效地减少了包装干扰,提高了光谱分析的准确性.
- 开发的模型展示了肉类行业先进,非侵入性质量保证系统的潜力.
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