Quantitative Analysis on Extracts by Ethanol from Dioscorea Zingiberensis C.H. Wright by Near-infrared Diffuse Reflection Spectroscopy
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Graphical Abstract
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Abstract
OBJECTIVE To determine the content of extracts from Dioscorea zingiberensis C.H.Wright by near-infrared spectroscopy combined with chemometrics method. METHODS Multivariate calibration model based on PLS algorithm was developed to correlate the spectra and the extracts values. RESULTS The correlation coefficients (R2), The root-mean-square error of cross-validation (RMSECV) and the root-mean-square error of prediction(RMSEP) of the quantitative analysis model for Dioscorea zingiberensis C.H.Wright were 0.991 09, 0.010 13 and 0.004 59. CONCLUSION NIRS technique is rapid and correct, which can be used in the determination of extracts from Dioscorea zingiberensis C.H.Wright. It also can be applied in other Chinese herbs.
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