2013•Tianran chanwu yanjiu yu kaifaRequires access

Rapid Determination of Paeoniflorin in Paeoniae Radix Alba by Near-Infrared Spectroscopy

Lei Jing-wei

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Abstract

The objective of the present study was to establish an analytical method for the rapid determination of paeoniflorin in Paeoniae Radix Alba by near-infrared spectroscopy.The near-infrared spectral data of 106 samples was collected by Nicolet 6700 NIR spectroradiometer and the data of the concentrations of paeoniflorin were obtained by HPLC.A multivariate calibration model was then developed by partical least square(PLS) analysis using HPLC analytical data as reference.The developed model was used to predict the concentration of paeoniflorin in unknown samples.The results showed that the correlation coefficients(R2) of the developed calibration model was 0.99395;the root-mean-square error of cross-validation(RMSECV)was 0.33068;the root-mean-square error of calibration(RMSEC) was 0.0563;the root-mean-square error of prediction(RMSEP) and the average rate of recovery were 0.0756 and 100.07%.The method was simple,non-polluted and accurate.It can be applied for the fast determination of large quantities of samples.

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What this paper is about

The objective of the present study was to establish an analytical method for the rapid determination of paeoniflorin in Paeoniae Radix Alba by near-infrared spectroscopy.The near-infrared spectral data of 106 samples was collected by Nicolet 6700 NIR spectroradiometer and the data of the concentrations of paeoniflorin were obtained by HPLC.A multivariate calibration model was then developed by partical least square(PLS) analysis using HPLC analytical data as reference.The developed model was used to predict the concentration of paeoniflorin in unknown samples.The results showed that the correlation coefficients(R2) of the developed calibration model was 0.99395;the root-mean-square error of cross-validation(RMSECV)was 0.33068;the root-mean-square error of calibration(RMSEC) was 0.0563;the root-mean-square error of prediction(RMSEP) and the average rate of recovery were 0.0756 and 100.07%.The method was simple,non-polluted and accurate.It can be applied for the fast determination of large quantities of samples.

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Available abstract

The objective of the present study was to establish an analytical method for the rapid determination of paeoniflorin in Paeoniae Radix Alba by near-infrared spectroscopy.The near-infrared spectral data of 106 samples was collected by Nicolet 6700 NIR spectroradiometer and the data of the concentrations of paeoniflorin were obtained by HPLC.A multivariate calibration model was then developed by partical least square(PLS) analysis using HPLC analytical data as reference.The developed model was used to predict the concentration of paeoniflorin in unknown samples.The results showed that the correlation coefficients(R2) of the developed calibration model was 0.99395;the root-mean-square error of cross-validation(RMSECV)was 0.33068;the root-mean-square error of calibration(RMSEC) was 0.0563;the root-mean-square error of prediction(RMSEP) and the average rate of recovery were 0.0756 and 100.07%.The method was simple,non-polluted and accurate.It can be applied for the fast determination of large quantities of samples.

Key concepts: Paeoniflorin, Near-infrared spectroscopy, Calibration, Radix (gastropod), Mean squared error, Chromatography, Analytical Chemistry (journal), Chemistry

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