Your browser doesn't support javascript.
loading
Quantitative models of Raman spectroscopy for five kinds of traditional Chinese medicine containing CaCO3 based on an improved siPLS / 中国中药杂志
China Journal of Chinese Materia Medica ; (24): 3608-3615, 2015.
Article in Chinese | WPRIM | ID: wpr-237665
ABSTRACT
The aim of this paper is to apply Raman spectroscopy technique to develop rapid quantitative models for five kinds of Traditional Chinese Medicine containing CaCO3. In the experiment, Raman spectras of 67 batch of sample including Otolithum Sciaenae, Galaxeae Os, Ophicalcitum, Calcite, Stalactite and their mixture which had different content of CaCO3 were collected, and the quantitative models were established by using an improved siPLS to optimize the characteristic spectral bands and using the CaCO3 contents which were measured by EDTA titration method as references. Compared with the results by EDTA titration, the established quantitative model for CaCO, content showed a prediction result that the average relative deviation of the prediction results is 2. 71% and the average recovery rate was 100.46%, when the content is between 0.465 4-0.999 7, and when the characteristic spectral bands of 1 290-1 280, 730-714, 700-690, 660-650, 465-460, 455-445, 405-385 cm(-1) had been optimized. The result also showed that the model using Raman spectroscopy and based on an improved siPLS can get a rapid determination for contents of 5 kinds of Traditional Chinese Medicine containing CaCO3.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Plants, Medicinal / Spectrum Analysis, Raman / Calcium Carbonate / Drugs, Chinese Herbal / Least-Squares Analysis / Chemistry / Models, Statistical / Methods Type of study: Prognostic study / Risk factors Language: Chinese Journal: China Journal of Chinese Materia Medica Year: 2015 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Main subject: Plants, Medicinal / Spectrum Analysis, Raman / Calcium Carbonate / Drugs, Chinese Herbal / Least-Squares Analysis / Chemistry / Models, Statistical / Methods Type of study: Prognostic study / Risk factors Language: Chinese Journal: China Journal of Chinese Materia Medica Year: 2015 Type: Article