[Prediction model of Reduning Injection content based on near-infrared and mid-infrared technology combined with spectral fusion].

Abstract

In this paper, a method for rapidly determining the content of chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, gardeniside, and strychnoside in Reduning Injection(RI) was established based on near-infrared spectroscopy(NIRS), midinfrared spectroscopy(MIRS), and spectral fusion technology. Six pretreatment methods and five variable screening methods were investigated, and the best method was selected to establish a partial least square(PLS) model of two single spectra. At the same time,the NIRS and MIRS were fused with equal weights and characteristic bands, and the PLS model was established. The prediction effect of the four models on the quality control components was compared: NIRS>characteristic band fusion>MIRS>equal weight fusion. The relative standard error of prediction(RSEP) of the NIRS models on the five quality control components was less than 2. 5%, and the ratio of performance to deviation(RPD) was greater than 9. 5. The results show that the single spectrum model of NIRS is the best quantitative detection method, and the model of NIRS combined with the PLS algorithm can be used for the rapid detection of Reduning Injection.