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使用超光谱成像和独立组件分析检测非破坏性牛肉改

Peipei Gao^1,2,3, Wenlong Li^1,2,3, Xiangyu Shi^1,2,3

¹Agricultural Product Processing and Storage Lab, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China.

Journal of the science of food and agriculture

|December 23, 2025

概括

这项研究引入了一种使用高光谱成像 (HSI) 和独立组件分析 (ICA) 检测肉类改的新型非破坏性方法. 该方法成功地识别了重组和猪肉替代牛肉,为食品安全提供了快速而准确的选.

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:

传统的肉类改检测方法具有破坏性,速度缓慢,不适合快速选.
超光谱成像 (HSI) 提供非破坏性检测,但与化学上相似的伪造剂扎.
伪造肉的人工重建产生了明显的表面形态与正宗肉的差异.

研究的目的:

开发一种新的非破坏性方法,使用HSI和ICA来检测牛肉造.
提取组织表面特征,以区分真实的和造的牛肉.
调查不同级别的重组碎肉和猪肉替代牛肉的检测.

主要方法:

结合高光谱成像 (HSI) 与独立组件分析 (ICA) 来提取组织表面特征.
使用衍生品来描述表面变化趋势,用于伪造检测.
应用了k-最近邻,线性差异分析 (LDA),层次集群分析 (HCA) 和正交部分最小平方差异分析 (OPLS-DA) 进行分类和量化.

主要成果:

对于重组的碎牛肉检测,LDA实现了完美的歧视 (R2p = 1.0000).
在猪肉替代牛肉检测方面,OPLS-DA表现出色 (AUC > 0.92),表现优于HCA.
可视化成功地定位了猪肉替代区域,并量化了替代水平.

结论:

开发的基于组织表面特征的方法是快速,准确和非破坏性的,用于肉类改检测.
这种方法显示出工业实施的巨大潜力,特别是用于高通量选.
该技术非常适合肉类加工设施的质量保证操作.

关键词:

牛肉伪造检测检测牛肉伪造检测化学测量方法化学测量方法食品欺诈行为食品欺诈行为超光谱成像技术的使用.独立组件分析独立组件分析非破坏性测试是指非破坏性测试.

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