Optimization of arecoline extraction from areca nut using supercritical carbon dioxide.
The mass transfer of arecoline using supercritical carbon dioxide (SC-CO2) from areca nut is studied by analyzing the diffusion coefficient derived from Crank equation for sphere model. Comparisons of the SC-CO2 extracted yield under various conditions showed that the combination of pressure at 10.3...
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The Food and Drug Administration (FDA)
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iium-182952013-08-23T15:29:46Z http://irep.iium.edu.my/18295/ Optimization of arecoline extraction from areca nut using supercritical carbon dioxide. Nik Abdul Rahman, Norulaini Sarker, Md. Zaidul Islam B. Setianto, Wahyu Mohd Omar, Fatehah Akanda, Md. Jahurul Haque Abd Kadir, Mohd Omar Q Science (General) The mass transfer of arecoline using supercritical carbon dioxide (SC-CO2) from areca nut is studied by analyzing the diffusion coefficient derived from Crank equation for sphere model. Comparisons of the SC-CO2 extracted yield under various conditions showed that the combination of pressure at 10.3 MPa and temperature of 50°C provided the optimum condition for extraction, followed by extraction at 40°C and 25.6 MPa. From the diffusion coefficient analysis, the optimum conditions also gave the highest coefficients. It was found that the yield is directly proportional to the values of the coefficients. Key words: areca nut, arecoline, supercritical carbon dioxide, mass transfer, modeling The Food and Drug Administration (FDA) 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/18295/1/18-1-1.pdf Nik Abdul Rahman, Norulaini and Sarker, Md. Zaidul Islam and B. Setianto, Wahyu and Mohd Omar, Fatehah and Akanda, Md. Jahurul Haque and Abd Kadir, Mohd Omar (2010) Optimization of arecoline extraction from areca nut using supercritical carbon dioxide. Journal of Food and Drug Analysis, 18 (1). pp. 1-7. http://www.fda.gov.tw/eng/publish_periodical_list1.aspx |
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Q Science (General) Nik Abdul Rahman, Norulaini Sarker, Md. Zaidul Islam B. Setianto, Wahyu Mohd Omar, Fatehah Akanda, Md. Jahurul Haque Abd Kadir, Mohd Omar Optimization of arecoline extraction from areca nut using supercritical carbon dioxide. |
description |
The mass transfer of arecoline using supercritical carbon dioxide (SC-CO2) from areca nut is studied by analyzing the diffusion coefficient derived from Crank equation for sphere model. Comparisons of the SC-CO2 extracted yield under various conditions showed that the combination of pressure at 10.3 MPa and temperature of 50°C provided the optimum condition for extraction, followed by extraction at 40°C and 25.6 MPa. From the diffusion coefficient analysis, the optimum conditions also gave the highest coefficients. It was found that the yield is directly proportional to the values of the coefficients.
Key words: areca nut, arecoline, supercritical carbon dioxide, mass transfer, modeling |
format |
Article |
author |
Nik Abdul Rahman, Norulaini Sarker, Md. Zaidul Islam B. Setianto, Wahyu Mohd Omar, Fatehah Akanda, Md. Jahurul Haque Abd Kadir, Mohd Omar |
author_facet |
Nik Abdul Rahman, Norulaini Sarker, Md. Zaidul Islam B. Setianto, Wahyu Mohd Omar, Fatehah Akanda, Md. Jahurul Haque Abd Kadir, Mohd Omar |
author_sort |
Nik Abdul Rahman, Norulaini |
title |
Optimization of arecoline extraction from areca nut using supercritical carbon dioxide. |
title_short |
Optimization of arecoline extraction from areca nut using supercritical carbon dioxide. |
title_full |
Optimization of arecoline extraction from areca nut using supercritical carbon dioxide. |
title_fullStr |
Optimization of arecoline extraction from areca nut using supercritical carbon dioxide. |
title_full_unstemmed |
Optimization of arecoline extraction from areca nut using supercritical carbon dioxide. |
title_sort |
optimization of arecoline extraction from areca nut using supercritical carbon dioxide. |
publisher |
The Food and Drug Administration (FDA) |
publishDate |
2010 |
url |
http://irep.iium.edu.my/18295/ http://irep.iium.edu.my/18295/ http://irep.iium.edu.my/18295/1/18-1-1.pdf |
first_indexed |
2023-09-18T20:27:21Z |
last_indexed |
2023-09-18T20:27:21Z |
_version_ |
1777408505927434240 |