124
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

MODELING OF SUPERCRITICAL CARBON DIOXIDE EXTRACTION OF ANDROGRAPHOLIDE FROM ANDROGRAPHIS PANICULATA LEAVES

&
Pages 72-80 | Published online: 06 Nov 2007
 

Abstract

Mathematical modeling is necessary for the optimization and design of any separation process, such as the extraction of bio-molecules from their natural resources. The objective of this work is to obtain a quantitative description of the supercritical carbon dioxide extraction (SCDE) of andrographolide from Andrographis paniculata leaves through the development of a mathematical model based on first-order desorption rate of solute into supercritical solvent. Numerical calculations to obtain the adjustable parameter of the model, using experimental data obtained from the SCDE of andrographolide at different solvent flow rates and particle sizes, were done using MATLAB software. The results showed that this model agrees well with the experimental data. Therefore, this model is useful for the optimization and design of SCDE of andrographolide from Andrographis paniculata leaves.

Acknowledgments

The authors would like to express their gratitude to the Ministry of Science, Technology and Innovation Malaysia for the financial support through IRPA Project No. 09-02-03-0101-EA101. The authors also acknowledge the University of Malaya for the financial support through its short-term research grant Vote F.No. F0125/2004D.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,086.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.