Low-cost visible-near infrared sensor for on-line monitoring of fat and fatty acids content during the manufacturing process of the milk.
Low-cost visible-near infrared sensor for on-line monitoring of fat and fatty acids content during the manufacturing process of the milk.
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DOI：
10.1016/j.foodchem.2012.07.074
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发表时间：
2012-12
期刊：
影响因子：
8.8
通讯作者：
A. Villar;E. Gorritxategi;E. Aranzabe;Santiago Fernández;D. Otaduy;Luis A Fernández
中科院分区：
文献类型：
--
作者：
A. Villar;E. Gorritxategi;E. Aranzabe;Santiago Fernández;D. Otaduy;Luis A Fernández
本文介绍了一种低成本的在线可见-近红外（400- 1100 nm）传感器的校准，验证和测试过程中的牛奶中的脂肪和脂肪酸含量的监测过程中的牛奶制造过程。该传感器的光学、机械和电子设计已在Tekniker IK 4研究中心开发，并在其制造过程中进行了开发。传感器的测量范围为400- 1100 nm，因此它覆盖了可见光范围（400- 780 nm）和短波近红外（780- 1100 nm）。应用化学计量学技术，目的是获得每个参数的预测模型，将传感器获得的光谱与实验室中分析的参数相关联。通过偏最小二乘回归（PLS）开发模型，为每个参数获得一个模型。本工作中使用的生乳样品由减贫中心（西班牙阿斯图里亚斯）提供。
This paper describes the calibration, validation and testing process of a low-cost on-line visible–near infrared (400–1100nm) sensor for the monitoring of fat and fatty acids content in milk during the manufacturing process of milk. The optical, mechanical and electronic designs of the sensor have been developed in Tekniker IK4 research centre just as its manufacturing process. The measurement range of the sensor is 400–1100nm thus it covers the visible range (400–780nm) and the short-wave near infrared (780–1100nm). Chemometric techniques were applied with the purpose of obtaining a predictive model for each parameter correlating the spectra obtained by the sensor with the parameters analysed in the laboratory. The models were developed by Partial Least Squares Regression (PLS) obtaining one model for each parameter. The raw milk samples used in this work were provided by CAPSA (Asturias, Spain).