[SIC algorithm based model updating for near infrared analysis of Salvia miltiorrhiza alcohol extraction process].
Zhongguo Zhong Yao Za Zhi
; 41(5): 823-829, 2016 Mar.
Article
em Zh
| MEDLINE
| ID: mdl-28875634
ABSTRACT
The near-infrared (NIR) spectroscopy for offline monitoring of alcohol extraction process of Salvia miltiorrhiza was investigated, with high performance liquid chromatography (HPLC) determination of value for reference. The partial least squares method was adopted to establish the tanshinone â
¡A quantitative calibration model, so as to detect extraction process of Salvia miltiorrhiza. Because the differences between batches of raw materials may endanger the robustness of the original model, the simple interval calculation (SIC) was applied in updating the near-infrared quantitative model for traditional Chinese medicine extraction process for the first time, and compared with Random Selection (RS) method. SIC's final updating results showed that root mean square with cross validation (RMSECV), root mean square error of prediction (RMSEP) and residual predictive deviation (RPD) of tanshinone â
¡A were 0.006 8 gâ¢L⻹, 0.005 4 gâ¢L⻹ and 3.14, respectively; but RS' final updating results showed that RMSECV, RMSEP and RPD were 0.006 4 gâ¢L⻹, 0.006 8 gâ¢L⻹ and 2.50, respectively. This study suggested that SIC is superior to RS, and provided a research foundation for quality control and monitoring of S. miltiorrhiza extraction process in the future.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Medicamentos de Ervas Chinesas
/
Espectroscopia de Luz Próxima ao Infravermelho
/
Salvia miltiorrhiza
Tipo de estudo:
Evaluation_studies
/
Prognostic_studies
Idioma:
Zh
Revista:
Zhongguo Zhong Yao Za Zhi
Assunto da revista:
FARMACOLOGIA
/
TERAPIAS COMPLEMENTARES
Ano de publicação:
2016
Tipo de documento:
Article
País de afiliação:
China