Discrimination of Chinese Wolfberry from Zhongning Based on Near Infrared Spectroscopy

doi:10.7506/spkx1002-6630-201402030

Abstract

Abstract:

To develop an automatic and quick method to discriminate the geographical origin of Chinese wolfberry from
Zhongning, 42 Chinese wolfberry samples from different regions in China were scanned with a near infrared spectrometer
(NIR). The NIR spectral data of wolfberry samples were analyzed with distance discriminant analysis (DDA) and cluster
analysis to discriminate their geographical origins. The DDA analysis indicated that good prediction results were achieved
with 100% recognition rate for the origin of wolfberry based on the multiplicative scatter correction and standard normal
variate transformation of spectral data ranging from 6 500 to 5 200 cm-1. The wolfberry samples could be clustered into
two groups using the Mahalanobis distances in combination with the Ward’s method: one group consisting of those from
Zhongning, Ningxia and the other from other regions. The recognition rate was 96.9%. In conclusion, it is feasible to apply
NIR to discriminate the geographical origin of Chinese wolfberry from Zhongning.

Key words: Chinese wolfberry, near infrared spectrometer (NIS), discrimination analysis, cluster analysis

CLC Number:

TS255.2

XU Chun-jin, ZHANG Rui, YU Xiu-zhu*, WANG Ning. Discrimination of Chinese Wolfberry from Zhongning Based on Near Infrared Spectroscopy[J]. FOOD SCIENCE, 2014, 35(2): 164-167.

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