2015
DOI: 10.1155/2015/704940
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Rapid Characterization of Tanshinone Extract Powder by Near Infrared Spectroscopy

Abstract: Chemical and physical quality attributes of herbal extract powders play an important role in the research and development of Chinese medicine preparations. The active pharmaceutical ingredients have a direct impact on the herbal extract's efficacy, while the physical properties of raw material affect the pharmaceutical manufacturing process and the final products' quality. In this study, tanshinone extract powders from Salvia miltiorrhiza which are widely used for the treatment of cardiovascular diseases in th… Show more

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Cited by 3 publications
(2 citation statements)
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“…However, the information contained in the different spectral ranges is different. Therefore, a more accurate quantitative model can be obtained by selecting an appropriate spectral interval model [ 26 ]. In this research, the spectrum of Shengmaxinside I standard product was compared with multiple ranges, and R 2 , RMSECV, RPD, and RMSEP were selected as comprehensive indicators to examine.…”
Section: Results and Conclusionmentioning
confidence: 99%
“…However, the information contained in the different spectral ranges is different. Therefore, a more accurate quantitative model can be obtained by selecting an appropriate spectral interval model [ 26 ]. In this research, the spectrum of Shengmaxinside I standard product was compared with multiple ranges, and R 2 , RMSECV, RPD, and RMSEP were selected as comprehensive indicators to examine.…”
Section: Results and Conclusionmentioning
confidence: 99%
“…NIR spectroscopy with chemometrics, proved to be an analytical tool of astonishing power in the world of pharmaceutical industry, and is in a non-stop growth as an striking complementary method for analysis of herbal drugs (Luo et al, 2015). When compared to other platforms of analysis, NIR spectroscopy reveals to have noticeable features especially its nondestructive nature of the analyzed sample and its capability of obtaining spectra for samples of different physical natures without or with only diminished pretreatment of such analyzed samples (Wang and Yu, 2015).…”
Section: Introductionmentioning
confidence: 99%