Application of NIR Spectroscopy for Nondestructive Qualitative and Quantitative Analysis of Lotus Seeds

• Published in: Guang pu xue yu guang pu fen xi Vol. 35; no. 10; p. 2752
• Main Authors: Zhu, Heng-yin, Fu, Xia-ping, You, Gui-rong, He, Jin-cheng
• Format: Journal Article
• Language: Chinese
• Published: China 01.10.2015
• ISSN: 1000-0593
• DOI: 10.3964/j.issn.1000-0593(2015)10-2752-05

By extracting the Near Infrared (NIR) diffuse reflectance spectral characteristics from the post-harvest lotus seeds in different storage periods, the quantitative and qualitative analysis were applied to lotus seeds with the Soluble Solids Content (SSC) and dry matter content (DM) as criteria. The results of the Partial Least Squares Regression (PLSR) and distance discrimination (DA) models showed that the absorption spectra of lotus seeds and lotus kernels has clear relations to their SSC and DM. The PLSR models of SSC and DM of lotus seeds had the best performance in 5 941-12 480 cm(-1) spectral region in this study. Their correlation coefficients of prediction were 0.74 and 0.82, and the correlation coefficients of calibration were 0.82 and 0.84, and the correlation coefficients of leave one out cross validation were 0.72 and 0.71. The PLSR model of SSC of lotus kernels was better in 7 891-9 310 cm(-1) spectral region. Its correlation coefficient of prediction was 0.79, and the correlation coefficient of