8 January 2008 Quantitative analysis of peanut oil content in ternary blended edible oil using near infrared spectroscopy
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Abstract
Calibration models of quantitative analysis of peanut oil content in ternary blended edible oil by near infrared spectroscopy were built using partial least square (PLS) regression. A total of 92 samples blended with three kinds of pure oil in different proportion (V/V) were prepared. Near infrared diffuse reflectance spectra of the samples were collected over 4 000 cm-1-10 000 cm-1 spectral region with a FT-NIR spectrometer. A calibration model of prediction to the peanut oil content was established with PLS using the original spectra and validated with leave-one-out cross validation method. The correlation coefficient and the RMSEC of the model were 0.9926 and 2.91%, respectively. The result showed that near infrared spectroscopy could be an ideal tool for fast determination to the peanut oil content in blended edible oil.
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Huacai Chen, Huacai Chen, Fuli Liu, Fuli Liu, Zhilan Wang, Zhilan Wang, Shangzhong Jin, Shangzhong Jin, } "Quantitative analysis of peanut oil content in ternary blended edible oil using near infrared spectroscopy", Proc. SPIE 6835, Infrared Materials, Devices, and Applications, 683512 (8 January 2008); doi: 10.1117/12.759223; https://doi.org/10.1117/12.759223
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