荧光光谱法
生物系统
吸光度
光谱学
样品(材料)
荧光
工艺工程
化学计量学
口译(哲学)
乳品工业
生化工程
计算机科学
分析技术
基质(化学分析)
实验数据
化学
环境科学
分析化学(期刊)
环境化学
数学
机器学习
统计
工程类
色谱法
光学
食品科学
有机化学
物理
生物
量子力学
程序设计语言
作者
Charlotte M. Andersen,Grith Mortensen
摘要
This paper gives a critical evaluation of the use of fluorescence spectroscopy for measuring chemical and physical changes in dairy products caused by processing and storage. Fluorescence spectroscopy is able to determine various properties of foods without use of chemicals and time-consuming sample preparation. This is shown by examples where the measurement of a given chemical parameter has been appropriately described and validated, as well as situations showing potential applications, but where further research and validation is required. The interpretation of fluorescence spectroscopic data is complex due to absorbance by other molecular groups, changes caused by variation in the sample matrix, etc. It is illustrated how advanced data analytical techniques are required to obtain optimal interpretation of the data. Even though the review focuses on examples from the dairy industry, the principles are broader and can be applied to other fields of food and agricultural research.
科研通智能强力驱动
Strongly Powered by AbleSci AI