Rapid Identification Of Active Ingredient And Geographic Traceability Of Bifonazole Drugs By Raman Spectroscopy

The qualitative and quantitative analysis of the effective components is one of the focus of drug analysis. Normally, during routine measurement, sample pretreatment is always necessary to decrease or eliminate the interference of complex drug excipients, which is time-consuming and hard to handle. Therefore, it is highly demanded to develop rapid screening techniques towards high qualification and high efficiency for drug analysis. In this work, by using the bifonazole medicine as the model target, the rapid qualitative analysis of effective components was realized with the combination of Raman spectroscopy and chemmometric techniques including principal component analysis (PCA) and support vector machine (SVM). To exclude the unavoidable random interference from the complex composition of drug excipients to the qualitative analysis of target with low concentration (1%), the PCA method was used to precisely locate and extract the characteristic Raman signal of bifonazole. Furthermore, PCA combined with SVM classifier was applied to extract the tiny difference of Raman spectra, especially the two peaks at 1600 cm(-1) and 1650 cm(-1), from different manufactories. The result showed that the strategy could successfully distinguish and identify commercial drugs from different manufactories. This research implies that Raman spectroscopy is a very promising nondestructive and fast traceability analysis technique for drug analysis.