Stepwise regression modeling on the monitoring of separation of Salvianolate through macroporous resin chromatographic column using UV spectral data
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Abstract
Aim: Study the monitoring method of separation of Salvianolate through macroporous resin chromatographic column using UV spectral data.
Method: HPLC was used to determine the concentration of Salviol B in the eluent liquid of macroporous resin chromatographic column. The UV spectrum of the eluent liquid was measured using portable UV spectrometer. Stepwise regression was used to develop the model to predict the concentration of Salviol B in the eluent liquid of macroporous resin chromatographic column using the UV spectral data.
Result: Stepwise regression model was developed to predict the concentration of Salviol B in the eluent liquid of macroporous resin chromatographic column. RMSE was 0.3263, MAP was 0.2323 and CV was 0.1796.
Conclusion: Stepwise regression model could be used to predict the concentration of Salviol B in the eluent liquid of macroporous resin chromatographic column using UV spectral data
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Copyright (c) 2019 Liu Y, et al.
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