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Use of multivariate statistical techniques to optimize the separation of isoflavones by liquid chromatography
Silesian Technical University, Gliwice, Poland.
Silesian Technical University, Gliwice, Poland.
Östergötlands Läns Landsting, Hjärt- och Medicincentrum, Fysiologiska kliniken US.
2011 (engelsk)Inngår i: Central European Journal of Chemistry, ISSN 1895-1066, E-ISSN 1644-3624, Vol. 9, nr 6, s. 972-981Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The aim of this paper is to optimize and validate a high performance liquid chromatography (HPLC) method for separation and quantification of five isoflavones. A statistical central composite design was used to separate all peaks. These multivariate procedures were efficient in determining the optimal separation condition using resolution, capacity factor, asymmetry and number of theoretical plates. less thanbrgreater than less thanbrgreater thanThe effective separation of the examined compounds was applied on a Develosil RP Aqueous AR 5 RP-30 column with a gradient mobile phase system and a DAD detector. less thanbrgreater than less thanbrgreater thanThe isolation and preconcentration of the isoflavones from urine and plasma samples were conducted by means of the solid-phase extraction (SPE). For optimize SPE conditions various sorbents were tested. Furthermore, high recoveries and good relative standard deviations were obtained when the samples were passed through the Oasis HLB column. The developed method was validated and successfully applied for determination of isoflavones in urine and plasma.

sted, utgiver, år, opplag, sider
Springer Verlag (Germany) , 2011. Vol. 9, nr 6, s. 972-981
Emneord [en]
Central composite design, Isoflavones, HPLC, Solid-phase extraction
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-72246DOI: 10.2478/s11532-011-0093-8ISI: 000296637600003OAI: oai:DiVA.org:liu-72246DiVA, id: diva2:458824
Merknad
Funding Agencies|National Science Centre (Poland)||Tilgjengelig fra: 2011-11-24 Laget: 2011-11-24 Sist oppdatert: 2017-12-08

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