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Proceedings Paper

Quantitative analysis of peanut oil content in ternary blended edible oil using near infrared spectroscopy
Author(s): Huacai Chen; Fuli Liu; Zhilan Wang; Shangzhong Jin
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Paper 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.

Paper Details

Date Published: 8 January 2008
PDF: 6 pages
Proc. SPIE 6835, Infrared Materials, Devices, and Applications, 683512 (8 January 2008); doi: 10.1117/12.759223
Show Author Affiliations
Huacai Chen, China Jiliang Univ. (China)
Fuli Liu, China Jiliang Univ. (China)
Zhilan Wang, China Jiliang Univ. (China)
Shangzhong Jin, China Jiliang Univ. (China)


Published in SPIE Proceedings Vol. 6835:
Infrared Materials, Devices, and Applications
Yi Cai; Haimei Gong; Jean-Pierre Chatard, Editor(s)

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