| ORIGINAL ARTICLE |
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| Year : 2014 | Volume
: 10
| Issue : 39 | Page : 265-270 |
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Rapid and undamaged analysis of crude and processed Radix Scrophulariae by Fourier transform infrared spectroscopy coupled with soft independent modeling of class analogy
Huiping Zhu1, Gang Cao2, Hao Cai3, Baochang Cai3, Jue Hu4
1 The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
2 Research Center of TCM Processing Technology, Zhejiang Chinese Medical University, Hangzhou; College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
3 College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
4 School of Basic Medical Sciences, Zhejiang Medical College, Hangzhou, P. R., China
Correspondence Address:
Gang Cao
Research Center of TCM Processing Technology, Zhejiang Chinese Medical University, Hangzhou, P. R
China
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0973-1296.137366
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Objective: The main objective of this work is to determine the feasibility of identification of crude and processed Radix Scrophulariae using the Fourier transform infrared spectroscopy couple with soft independent modeling of class analogy (FT-IR-SIMCA). Materials and Methods: A total of 50 different crude Radix Scrophulariae was used to product processed ones. The spectra were acquired by FT-IR spectroscopy using a diffuse reflectance fiber optic probe. For the multivariate analysis, SIMCA was used. Results showed that FT-IR-SIMCA was useful to discriminate the processed Radix Scrophulariae samples from crude samples. These samples could be successfully classified by SIMCA. Results: In all cases, the recognition and rejection rates were 97.8% and 100%, respectively. When testing with the blind sample that was picked out from the chosen samples, the accuracy was up to 90%. Conclusion: It means that the methodology is capable of accurately separating processed Radix Scrophulariae from crude samples. |
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