Rapid Quantitative Determination of Multi-Indicators in Lonicerae Japonicae Flos by Near-Infrared Spectroscopy

OBJECTIVE To establish a set of quantitative calibration models based on near-infrared (NIR) spectroscopy and chemometrics methods for rapid determination of chlorogenic acid and luteoloside content in Lonicerae Japonicae Flos at the same time, which is useful for the quality control process. METHODS The PLSR algorithm was finally used to build NIR quantitative models between the spectra and the content of chlorogenic acid and luteoloside determined by the reference methods. The validation set was used to identify the predictive performance of the established models. RESULTS For PLSR models, the correlation coefficients of calibration and cross-validation were both >0.90, and the root mean square errors of cross validation (RMSECV) of two indicators were 0.469 and 0.012 4, respectively. External validation proved that the root mean square errors of prediction (RMSEP) were 0.478 and 0.010 5, which were close to RMSEC values, respectively. The ratio of RMSECV to RMSEP was close to 1, and the relative standard errors (RSEP) for chlorogenic acid and luteoloside content were 10.19% and 14.76%. This established method was initiatively proved to be accurate and stable. CONCLUSION NIR can be used for the rapid determination of chlorogenic acid and luteoloside content in Lonicerae Japonicae Flos at the same time, which is beneficial and crucial for the quality control of this raw material in TCM pharmaceutical factory.