Title :
Geographic origins of rice determinated by chemometric analysis of NIR spectra
Author :
Lin, Ping ; Chen, Yongming ; He, Yong
Author_Institution :
Coll. of Biosystems Eng. & Food Sci., Zhejiang Univ., Hangzhou, China
Abstract :
A nondestructive optical method for determining the geographic origins of rice was investigated. Average absorption spectra of rice for three different geographic origins were analyzed. Direct orthogonal signal correction (DOSC), standard normal variate transformation (SNV) combined with detrending, multiply scatter calibration (MSC) and Savitzky-Golay second-order derivative transformation (S.Golay 2nd-Der) were applied to pre-process the original spectral data. DOSC present best preprocessing methods in this study and was proved to be more effective than the classical pretreatment methods, such as SNV and MSC. Through a chemometrics method of partial least squares (PLS), a correlation was established between the absorbance spectra and geographic origins of rice. 7 principal components (PCs) were obtained by PLS as the best number of principal components, and finally 30 unknown rice samples were successfully predicted based on 7 PCs as the input of BP neural network. The accuracy of prediction of different geographic origins was 83%. Vis/NIRS technique combined with chemometrics was promising for distinguishing the geographic origins of rice fast and nondestructively. This new combination of DOSC with PLS and BPNN might be applied for other materials based on NIR spectroscopy.
Keywords :
backpropagation; crops; geography; infrared spectra; least squares approximations; neural nets; nondestructive testing; principal component analysis; visible spectra; BP neural network; Savitzky-Golay second-order derivative transformation; average absorption spectra; chemometric analysis; direct orthogonal signal correction; geographic origin; multiply scatter calibration; near infrared spectra; nondestructive optical method; partial least squares method; principal components; rice; standard normal variate transformation; visible spectra; Agricultural engineering; Calibration; Food industry; Helium; Instruments; Least squares methods; Optical scattering; Personal communication networks; Petroleum; Spectroscopy;
Conference_Titel :
Asian Control Conference, 2009. ASCC 2009. 7th
Conference_Location :
Hong Kong
Print_ISBN :
978-89-956056-2-2
Electronic_ISBN :
978-89-956056-9-1