Paper
27 October 2006 Study on fast measurement of sugar content of yogurt using Vis/NIR spectroscopy techniques
Yong He, Shuijuan Feng, Di Wu, Xiaoli Li
Author Affiliations +
Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 604723 (2006) https://doi.org/10.1117/12.710922
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China
Abstract
In order to measuring the sugar content of yogurt rapidly, a fast measurement of sugar content of yogurt using Vis/NIR-spectroscopy techniques was established. 25 samples selected separately from five different brands of yogurt were measured by Vis/NIR-spectroscopy. The sugar content of yogurt on positions scanned by spectrum were measured by a sugar content meter. The mathematical model between sugar content and Vis/NIR spectral measurements was established and developed based on partial least squares (PLS). The correlation coefficient of sugar content based on PLS model is more than 0.894, and standard error of calibration (SEC) is 0.356, standard error of prediction (SEP) is 0.389. Through predicting the sugar content quantitatively of 35 samples of yogurt from 5 different brands, the correlation coefficient between predictive value and measured value of those samples is more than 0.934. The results show the good to excellent prediction performance. The Vis/NIR spectroscopy technique had significantly greater accuracy for determining the sugar content. It was concluded that the Vis/NIRS measurement technique seems reliable to assess the fast measurement of sugar content of yogurt, and a new method for the measurement of sugar content of yogurt was established.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong He, Shuijuan Feng, Di Wu, and Xiaoli Li "Study on fast measurement of sugar content of yogurt using Vis/NIR spectroscopy techniques", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 604723 (27 October 2006); https://doi.org/10.1117/12.710922
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KEYWORDS
Mathematical modeling

Near infrared

Spectroscopy

Statistical modeling

Calibration

Data modeling

Chemical analysis

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