[Qualitative analysis of fragrant pear class based on near infrared diffuse reflectance spectroscopy].
A method was developed to automatically discriminate the persistent calyx fruit and fruit without calyx of fragrant pear by means of near infrared spectroscopy (NIRS). The prediction performance of different band regions range, different principal component numbers and different preprocessing methods of the spectra (multiplicative signal correction, standard normal variate, and derivative spectra) together with discriminant analysis (DA) was also investigated, and The calibration model was established to classify the different kinds of fragrant pear. The research results for the fragrant pear classification showed that DA calibration models using these parameters with band regions between 9 091 and 4 000 cm(-1) and original spectra are optimal, with the percentage of correct sample classification being 100% and 95% for the calibration and validation set, respectively.
Ma
Ben-Xue
BX
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China. mbx_shz@163.com
Rao
Xiu-Qin
XQ
Ying
Yi-Bin
YB
Shen
Fei
F
Fan
Yu-Xia
YX
D002138:Calibration; D016002:Discriminant Analysis; D005638:Fruit; D025341:Principal Component Analysis; D031989:Pyrus; D019265:Spectroscopy, Near-Infrared