Near-infrared Spectroscopy for Prediction of the Leaves Content of Pogostemonis Herba

OBJECTIVE To establish a method for fast determination of leaves content of Pogostemonis Herba in powder and preparation by NIR. METHODS The spectra of Pogostemonis Herba were scanned, and then TQ analyst software was used to processing the spectra and selected regions, at last a NIR method was built with partial least squares for the leaves content of Pogostemonis Herba. RESULTS The correlation coefficients, the root-mean-square error of calibration, the root-mean-square error of prediction and the root-mean-square error of cross-validation of the calibration model for leaves contents in Pogostemonis Herba were 0.996 47, 1.45, 1.78 and 3.258 05, respectively. CONCLUSION The NIR assay method of leaves content in Pogostemonis Herba is stable and accurate, which can be used to the determination the leaves content of Pogostemonis Herba.