Dynamic predictive modeling of extraction process for red ginseng using near-infrared spectroscopy / 中国中药杂志
China Journal of Chinese Materia Medica
;
(24): 2660-2664, 2014.
Article
in Chinese
| WPRIM
| ID: wpr-330275
ABSTRACT
It is the objective of this study to develop dynamic predictive model for the extraction process of red Ginseng using NIR spectroscopy. NIR spectroscopy was collected online and PLSR models were developed for total quantity of ginsenosides. The performance of NIR prediction model achieved R, RMSEC, RMSEP of 0.996 09, 0.018 9, 0.016 8, respectively. A first order dynamic mass transfer model was combined with NIR prediction of the quality indicator to predict the trajectory of the extraction process based upon the initial 3 or 4 data points. The results showed good agreement with actual measurements indicating reasonable accuracy of the predictive model. It could potentially be used for advanced predictive control of the extraction process.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Chemistry
/
Spectroscopy, Near-Infrared
/
Ginsenosides
/
Chemical Fractionation
/
Panax
/
Methods
/
Models, Theoretical
Type of study:
Prognostic study
Language:
Chinese
Journal:
China Journal of Chinese Materia Medica
Year:
2014
Type:
Article
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