Rapid Quantification of Flavonoids in Propolis and Previous
Study for Classification of Propolis from Different Origins by Using Near
Infrared Spectroscopy
Anal. Methods, 2012, Accepted Manuscript
A fast, simple and accurate near infrared spectroscopy
(NIRs) method was investigated for the geographical origin discrimination and
main flavonoids content determination of Chinese propolis.
150 samples from four provinces of China were collected for
establishing partial least squares (PLS) models of rutin, myricetin, quercetin,
kaempferol, apigenin, izapinin, pinocembrin, chrysin, galangin and total
flavonoids. The root mean square error of prediction (RMSEP) and correlation
coefficient (R2) in test set of the optimum models were 0.479 to 1.332 and
76.23 to 96.68. The residual prediction deviation (RPD) were all larger than
2.93. A paired T-test result showed that there was no significant difference
between NIR and HPLC method at 95% confidence interval. A principal component
analysis (PCA)-Mahalanobis distance (MD) method was applied to classify the
geographical origin of propolis samples, and 100% accuracy was obtained.
Finally, an quality assessment was performed, and the
propolis samples from Zhejiang and Liaoning province were classified good
quality.
The developed NIRs method was a suitable tool for the rapid
analysis of Chinese propolis, and might be also extended in the on-line quality
control of propolis raw material in pharmaceutical industries, or monitoring
industrial natural products extracting processes.
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