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A Comprehensive Strategy to Quantify the Complex System by Ultraviolet and Infrared Spectra Analyses Coupled with Combustion Heat for Recognizing the Quality Consistency of San-Huang Tablets
College of Pharmacy and Chemistry, Dali University, Dali, China
College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
Department of Pharmacy, Traditional Chinese Medicine Hospital of Dali, Dali, China
College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China
- 1 College of Pharmacy and Chemistry, Dali University, Dali, China
- 2 College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
- 3 Department of Pharmacy, Traditional Chinese Medicine Hospital of Dali, Dali, China
- 4 College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
- 5 College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
- 6 Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China
American Journal of Analytical Chemistry·Volume 08 (2017)·Pages 668–680·Published 23 October 2017·DOI10.4236/ajac.2017.810049
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Abstract
Spectral quantitative fingerprinting including ultraviolet (UV) and Fourier transform infrared (FT-IR) coupled with combustion heat (CH) analytical techniques was employed and compared for rapid screening quality grade and discriminating San-Huang Tablets (SHT) of different commercial brands. The systematic quantified fingerprint method (SQFM) was applied to evaluate, qualitatively and quantitatively, the quality consistency of the herbal preparation. It was possible to deduce that the quantitative similarity analysis by SQFM was enabled to make a good discrimination of the tested samples. It was a particularly useful method for the overall quality evaluation of herbal medicine and their preparations.
KeywordsCombustion HeatSan-Huang TabletsSpectral FingerprintSystematic Quantified Fingerprint Method
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