手持近红外光谱仪对安格斯牛排可追溯性的有效性
1Meat Quality Area, Centre of Scientific and Technological Research of Extremadura (CICYTEX-La Orden). Junta de Extremadura, Ctra A-V, Km372, Guadajira, 06187 Badajoz, Spain.
Food chemistry
|June 8, 2024
概括
近红外光谱 (NIRS) 有效地追踪牛肉的老化,并预测冷藏时间. 这项技术为老化可追溯性提供了90%以上的准确性,支持肉类行业的数字化转型.
科学领域:
- 食品科学 食品科学 食品科学
- 频谱学是一种光谱学.
- 农业技术 农业技术
背景情况:
- 准确的肉类老化可追溯性对于质量控制和消费者信任至关重要.
- 目前用于确定牛肉老化和储存时间的方法可能耗时且具有破坏性.
- 肉类供应链的数字化转型需要快速,非破坏性的分析工具.
研究的目的:
- 评估近红外光谱 (NIRS) 对于真空包装Angus牛排的老化可追溯性的可行性.
- 评估NIRS用于预测牛肉的冷藏储存时间.
- 探索NIRS作为肉类供应链可追溯性数字化转型的工具.
主要方法:
- 利用近红外光谱 (NIRS) 对288个个别真空包装的安格斯牛肉 (骨) 牛排进行了分析.
- 雇佣部分最小平方-歧视性分析 (PLS-DA) 针对老龄歧视.
- 使用外部验证技术验证开发的模型.
主要成果:
- 在NIRS模型中,在区分老年牛肉与未老年牛肉方面,准确度超过90%.
- 预测冷藏储存时间的准确性超过96%的老样本.
- 在未老化的样本中,预测储存时间的准确率为75%.
结论:
- NIRS是一种可行的技术,用于牛肉的非破坏性老化可追溯性.
- NIRS可以准确预测冷藏储存时间,特别是在老牛肉中.
- NIRS技术支持数字化转型战略,以提高肉类供应链的可追溯性.
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