180
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

Effect of operating conditions on catechin extraction from betel nuts using supercritical CO2-methanol extraction

ORCID Icon, , , &
Pages 662-670 | Received 20 Mar 2017, Accepted 15 Nov 2017, Published online: 27 Nov 2017
 

ABSTRACT

In this work, the effect of extraction parameters on catechin extraction from betel nuts was studied. The supercritical carbon dioxide extraction parameters were pressure, temperature, and solvent flow rate while using average particle size of 177.5 μm and 5% (v/v) methanol as modifiers. Detection and quantification of catechin were achieved using HPLC analysis. The highest amount of extract and catechin concentration were 34.00 mg extract/g sample and 565.38 ppm of catechin obtained at 30 MPa, 70°C, and 4 mL/min. The results given by optimization tools suggest the same operating conditions with less than 3% difference.

Funding

This research is funded by Malaysian government under Research University Grant (GUP) (Vote no: Q.J130000.2544.04H05), Ministry of Higher Education Malaysia with collaboration of Centre of Lipids Engineering and Applied Research (CLEAR), Universiti Teknologi Malaysia (UTM), Malaysia.

Additional information

Funding

This research is funded by Malaysian government under Research University Grant (GUP) (Vote no: Q.J130000.2544.04H05), Ministry of Higher Education Malaysia with collaboration of Centre of Lipids Engineering and Applied Research (CLEAR), Universiti Teknologi Malaysia (UTM), Malaysia.

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 681.00 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.