Rapid Prediction of Extractum and Six Active Components in Traditional She Medicine-Melastoma Dodecandrum Lour. by Ultraviolet Spectroscopy and Partial Least Squares Regression Algorithm

OBJECTIVE To establish a rapid method for the determination of the extractum, gallic acid, ferulic acid, rutin, quercetin, luteolin and kaempferol in traditional She medicine-Melastoma dodecandrum by ultraviolet spectroscopy. METHODS The contents of extractum and 6 components in aqueous extract solutions of Melastoma dodecandrum were detected and the ultraviolet spectra were collected. The partial least squares regression models of extractum and 6 components were established separately with the use of SIMCA-P+ software. The software was devised by using Visual Basic, embeded the model into software. This method provided a convenient tool for the simultaneous and rapid determination of extractum and 6 components in unknown samples. RESULTS The root mean square error of predictions for extractum and 6 components were 39.1, 0.263, 19.0, 93.8, 0.894, 0.593, 0.896 ng·mL^-1, respectively. The correlation coefficients between the predicted and the reference values for validation set were >0.9 and the predicted contents of extractum and 6 components were calculated automatically within 10 s. CONCLUSION This study provides a rapid method for the quality evaluation of Melastoma dodecandrum Lour.