Systematic multivariate optimization of supercritical fluid extraction

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/77206

DC Field	Value
dc.title	Systematic multivariate optimization of supercritical fluid extraction
dc.contributor.author	Li, K.
dc.contributor.author	Ong, C.P.
dc.contributor.author	Li, S.F.Y.
dc.date.accessioned	2014-06-23T05:52:10Z
dc.date.available	2014-06-23T05:52:10Z
dc.date.issued	1994-02
dc.identifier.citation	Li, K.,Ong, C.P.,Li, S.F.Y. (1994-02). Systematic multivariate optimization of supercritical fluid extraction. Journal of Chromatographic Science 32 (2) : 53-56. ScholarBank@NUS Repository.
dc.identifier.issn	00219665
dc.identifier.uri	http://scholarbank.nus.edu.sg/handle/10635/77206
dc.description.abstract	An interpretative method for predicting optimum conditions for supercritical fluid extraction was developed. The proposed scheme was used for the optimization of temperature, initial pressure, and pressure gradient for the extraction of vitamin E. Eleven experiments were conducted to obtain global optimum conditions. The validity of the scheme was confirmed by comparing the predicted extraction efficiencies with the experimental values. The application of the predicted optimal SFE conditions for the extraction of vitamin E in corn oil was demonstrated.
dc.source	Scopus
dc.type	Article
dc.contributor.department	CHEMISTRY
dc.description.sourcetitle	Journal of Chromatographic Science
dc.description.volume	32
dc.description.issue	2
dc.description.page	53-56
dc.description.coden	JCHSB
dc.identifier.isiut	NOT_IN_WOS
Appears in Collections:	Staff Publications

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