使用NIR,光和拉曼光谱来区分普通和木制胸肉片
Míriam Muñoz-Lapeira1, Tiril Aurora Lintvedt2, Karen Wahlstrøm Sanden2
1IRTA, Food Safety and Fuctionality, Finca Camps I Armet s/n, Monells, 17121, Catalunya, Spain.
概括
新的光谱学方法,光和拉曼,准确地检测肉的木制乳房 (WB) 肌病. 这些技术提供了对原和脂肪含量的详细见解,补充了近红外光谱 (NIRS) 用于肉质评估.
科学领域:
- 动物科学动物科学
- 食品科学 食品科学 食品科学
- 频谱学是一种光谱学.
背景情况:
- brojlers中的木胸 (WB) 肌肉病导致了严重的肉质缺陷.
- 传统的WB检测方法是有限的,需要先进的分析方法.
- 像近红外光谱 (NIRS) 这样的光谱技术已经显示出希望,但需要通过其他方法进行进一步的研究.
研究的目的:
- 评估光发射和拉曼光谱在检测肉木乳房 (WB) 肌病的疗效.
- 为了比较NIRS,光和拉曼光谱的诊断能力,以识别受WB影响的肉类.
- 探索这些光谱方法在表征与WB相关的组织学变化,如纤维化和脂质化等方面的潜力.
主要方法:
- 使用NIRS (780-1080 nm),光发射 (330 nm激发,350-580 nm检测) 和拉曼光谱 (100-3250 cm-1) 分析了 brojler 乳房样本 (40正常,40 WB).
- 使用低场核磁共振 (LF-NMR) 来测量T2放松分布.
- 参考测量包括水,脂肪和原含量;部分最小平方 (PLS) 模型用于数据分析.
主要成果:
- 在WB样本中,NIRS和LF-NMR表明松水的增加.
- 光光谱识别了原蛋白,原蛋白交叉连接和脂肪组织,根据原蛋白和脂肪含量揭示了两个WB子组.
- 拉曼光谱在WB子组之间提供了更大的区别,显示WB中的蛋白质减少和原和脂肪增加,在歧视中100%的准确性.
结论:
- 尼尔斯,光和拉曼光谱是有效的工具来区分正常和木制乳房 (WB) 肉.
- 光学和拉曼光谱学提供了WB的详细表征,识别了纤维化和脂质化标志物.
- 这些先进的光谱学方法提供了比简单检测更全面的了解WB病理.
相关概念视频
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