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使用空间分辨率的短波NIR光谱法量化莫扎雷拉奶酪中的异质性

Harshkumar Patel¹, Frans W J van den Berg¹, Jens Petter Wold²

¹Department of Food Science, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

|July 2, 2025

概括

空间分辨率的短波近红外光谱 (SW-NIRS) 提供了一种新的,非破坏性的方法来量化莫扎雷拉奶酪的异构性. 这种技术有效地将宏观性质与分子结构联系起来,增强了食品质感分析.

科学领域:

食品科学食品科学食品科学
材料科学材料科学材料科学
频谱学是一种光谱学.

背景情况:

莫扎雷拉奶酪的质地和功能是由其在意大利面-菲拉塔过程中形成的异型结构决定的.
传统的机械测试方法无法将宏观性质与分子层面的结构安排联系起来.
了解异构性对于优化各种食品应用中的奶酪特性至关重要.

研究的目的:

引入和验证空间分辨率的短波近红外光谱 (SW-NIRS) 作为一种用于表征莫扎雷拉奶酪异性质的工具.
为了确定光学测量和奶酪结构中异性质度之间的相关性.
展示SW-NIRS在异型食物系统中结构功能关系的非破坏性评估方面的潜力.

主要方法:

用两个SW-NIRS实验设置分析了19个设计的莫扎雷拉样本:两轴直角测量和旋转样本设置.
从照明源的不同距离获取光谱数据.
使用乘法散射校正和回归分析量化光谱变化,散射和吸收.

主要成果:

通过SW-NIRS获得的异构性和光学测量之间发现了很高的相关性 (r2 = 0.81).
SW-NIRS有效地捕获了与纤维蛋白网络方向相关的光谱变化.
该研究表明SW-NIRS对莫扎雷拉奶酪结构差异的敏感性.

结论:

空间分辨率的SW-NIRS是一种快速,非破坏性的方法,用于量化莫扎雷拉奶酪的异构性.
这种技术在分子层面上提供了对结构-功能关系的洞察.
SW-NIRS对分析其他异构型食品材料具有前景.

关键词:

没有异性otropy.同位素型的同位素型.莫扎雷拉奶酪是一种莫扎雷拉奶酪.乘法散射校正是多次性的.短波近红外近红外的短波.

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