Quantitative Determination of Dulcitol in Euonymus Fortune Using Fourier Transform Infrared Spectroscopy Technology
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Quantitative Determination of Dulcitol in Euonymus Fortune Using Fourier Transform Infrared Spectroscopy Technology
Chinese Journal of Experimental Traditional Medical FormulaeVol. 18, Issue 6, Pages: 60-65(2012)
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Published:2012
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ZHENG Juan-mei, MAO Xiao-li, LI Zi-da, et al. Quantitative Determination of Dulcitol in Euonymus Fortune Using Fourier Transform Infrared Spectroscopy Technology[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(6): 60-65.
DOI:
ZHENG Juan-mei, MAO Xiao-li, LI Zi-da, et al. Quantitative Determination of Dulcitol in Euonymus Fortune Using Fourier Transform Infrared Spectroscopy Technology[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(6): 60-65.DOI:
Quantitative Determination of Dulcitol in Euonymus Fortune Using Fourier Transform Infrared Spectroscopy Technology
Objective: In order to explore a rapid approach to determine dulcitol content in Euonymus fortune. Method: Based on fourier transform infrared spectroscopy (FTIR) and used the result of High Performance Liquid Chromatography (HPLC) as controls
partial least square method (PLS)
principal component regression (PCR) and multiple linear regression (MLR) were employed to determine the content of Dulcitol in Euonymus fortune collected from 8 different producing areas quantificationally. Result: The results showed that the forecasted values by those of three regression methods basically tallied with the actual values by HPLC method
there was no significant difference among them(P<0.05) and no system errors; The MLR result was optimal with mean standard error of 0.160
0.296 and the average relative standard deviationwas of 4.475%
6.643% respectively when the crude drugs and its methanolic extract of Euonymus fortune were selected to determine the value of dulcitol solely
which were less than PLS and PCR methods. Conclusion: The quantitative correction model has stronger capability of determination
the detection on real-time was implemented rapidly with the Fisher model
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