156
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Mass transfer and hydrodynamic study of supercritical carbon dioxide extraction of 1,8-cineole from small cardamom seeds

& ORCID Icon
Pages 1023-1033 | Published online: 06 Jun 2018
 

ABSTRACT

This study investigates mass transfer and hydrodynamic parameters of supercritical carbon dioxide (sc-CO2) extraction of 1,8-cineole from small cardamom seeds (SCs). Solubility of 1,8-cineole in sc-CO2, its diffusivity, and release kinetics from SCs have been explored. A correlated Chrastil equation has been developed for predicting solubility under varying extraction conditions. Empirical correlations among Reynolds, Schmidt, and Sherwood numbers considering Wilke–Chang equation for diffusivity showed a better fit as compared with those obtained using Stokes–Einstein equation. The extraction kinetics was in agreement with the Sovová model showing plug flow behavior. Release kinetics of 1,8-cineole from SCs was best explained by the Higuchi model. A high R2 value (0.93) of the empirical equation involving dimensionless numbers suggested that the extraction process has been satisfactorily modeled. This model would help in scaling up the production of this significant biotherapeutic molecule from cardamom and similar seed matrices.

Acknowledgment

The first author acknowledges Spices Board, Cochin, Government of India, for providing financial support for the study.

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.