Citation: LUO Si-Heng, ZHOU Zhi-Ming, HUANG Jian-Ying, PAN Cheng, LI Ling-Ling, ZHENG Shu-Feng, ZHANG Zhi-Min, LIU Guo-Kun. Rapid Identification of Active Ingredient and Geographic Traceability of Bifonazole Drugs by Raman Spectroscopy[J]. Chinese Journal of Analytical Chemistry, ;2020, 48(9): 1210-1218. doi: 10.19756/j.issn.0253-3820.191462 shu

Rapid Identification of Active Ingredient and Geographic Traceability of Bifonazole Drugs by Raman Spectroscopy

1.
State Key Laboratory for Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China;
2.
State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China;
3.
Xiamen Food and Drug Quality Inspection Institute, Xiamen 361102, China;
4.
China National Quality Supervision and Testing Center for Processed Food(Fuzhou), Fujian Inspection and Research Institute for Product Quality, Fuzhou 350002;
5.
College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China

Received Date: 30 July 2019
Revised Date: 17 July 2020

Fund Project: This work was supported by the National Key R&D Program of China (No. 2018YFC0807201), the Xiamen Science and Technology Project (No.3502Z20183002) and the Key Project of Agricultural Guidance of Fujian Province, China.

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.
- Raman spectroscopy,
- Principal component analysis,
- Identification of active ingredients,
- Geographic traceability
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沈阳化工大学材料科学与工程学院沈阳 110142