振动和光光谱学的应用,用于对有色肉的成分分析
Sonia Pielorz1, Agnieszka Kita2, Elżbieta Rytel2
1Department of Chemistry, University of Wrocław, Wrocław, Poland.
Journal of the science of food and agriculture
|October 2, 2023
概括
光谱技术与化学测量技术相结合,为分析植物成分提供了一个快速的方法. 这种方法可以准确地确定土豆中的多总量,抗氧化活性和宏观营养素,而无需化学处理.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 化学测量 化学测量 化学测量
背景情况:
- 对自然产品的传统分析是耗时且昂贵的.
- 光谱方法与化学测量相结合,对植物原料的直接分析具有前景.
研究的目的:
- 评估用于同时确定土豆品种关键参数的光谱技术.
- 评估这些方法在取代传统分析协议方面的潜力.
主要方法:
- 在冷干燥的土豆样本上使用光谱,拉曼,FTIR和NIR光谱.
- 应用部分最小平方回归 (PLSR) 建模,使用光谱数据和参考分析.
主要成果:
- 精确量化总多 (3.74-5.04%的误差) 和抗氧化活性 (4.75-6.35%的误差).
- 精确确定宏观营养素:粉 (3.45-4.55%),蛋白质 (3.09-5.30%),以及糖 (5.10-8.58%).
结论:
- 光谱技术和多变量建模使得从单个光谱中同时分析多个参数.
- 这些方法为食品的传统提取和溶解分析提供了有效的替代方案.
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