Study on Rapid Non-Destructive Detection of the Freshness of Paddy Based on NIRS
LI Juan1, 2, LI Zhong-hai1, 2*,FU Xiang-jin1,2
1. Hunan Provincial Key Laboratory of Deeply Processing and Quality Control of Cereals and Oils, Central South University of Forestry and Technology, Changsha 410004, China 2. College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
Abstract:A prediction model of paddy storage time was established based on near infrared reflectance(NIRS)and chemometrics. A spectroradiometer was used for collecting spectra in the wavelength range from 950 to 1 650 nm. The NIR spectra were collected from 90 samples of paddy. The best pretreatment method was obtained while choosing the total spectra area combined with PLS using the UNSCRAMBLER 9.7. The best pretreatment method is first derivative combined with S. Golay, and the number of principal components is 7. The model is feasible, because the r2 is 0.967 9, RMSEP is 54.51 and the result of T-test is passable while validation method is cross validation. In this paper, a feasible method is established to measure the storage time of paddy based on near infrared reflectance(NIRS)and chemometrics.
李 娟1, 2,李忠海1, 2*,付湘晋1, 2 . 稻谷新陈度近红外快速无损检测的研究[J]. 光谱学与光谱分析, 2012, 32(08): 2126-2130.
LI Juan1, 2, LI Zhong-hai1, 2*,FU Xiang-jin1,2 . Study on Rapid Non-Destructive Detection of the Freshness of Paddy Based on NIRS . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(08): 2126-2130.
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