Near-infrared spatially-resolved spectroscopy for milk quality analysis

COMPUTERS AND ELECTRONICS IN AGRICULTURE(2024)

引用 0|浏览0
暂无评分
摘要
To support in -line quality control of raw milk and ensure the close monitoring of the metabolic and udder health of dairy cows, we propose a fiber -optic spatially-resolved spectroscopy (SRS) setup. This setup allows to vary the interaction of long -wave near-infrared (LW-NIR) light with the milk by submerging a separate optical illumination and detection fiber into the sample and altering their relative distance to optimize measurements for specific milk component(s). We evaluated this approach for predicting milk fat, protein, and lactose content and determined the optimal illumination-to-detection distances for each milk component. The region between 1.1 and 1.8 mm was optimal for lactose, and between 2.2 and 3.8 mm for fat and protein. These distance ranges resulted in a root-mean-square error of prediction (RMSEP) of less than 0.10 % weight/weight (wt/wt) for milk fat, and lower than 0.13 % (wt/wt) for protein and lactose. Integration of these distances into a fiber -optic SRS reflectance probe would allow to simultaneously determine the fat, protein, and lactose content of raw milk inline with high accuracy.
更多
查看译文
关键词
SRS,Spatially resolved spectroscopy,Near-infrared spectroscopy,Food quality control,Milk
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要