Development and validation of SPMMTE HPLC method for analysis of profens from human plasma

A fast, selective and reproducible solid‐phase membrane microtip extraction (SPMMTE) HPLC method has been developed and validated for the analyses of ibuprofen, ketoprofen, and flurbiprofen from human plasma. The analysis was carried out on a C18 (150 × 4.6 mm; 5 μm) column. The mobile phase used wa...

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Bibliographic Details
Published inBiomedical chromatography Vol. 30; no. 8; pp. 1263 - 1269
Main Authors Hussain, Afzal, Al-Ajmi, Mohamed F., Amir, Samira, Ali, Imran
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.08.2016
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Summary:A fast, selective and reproducible solid‐phase membrane microtip extraction (SPMMTE) HPLC method has been developed and validated for the analyses of ibuprofen, ketoprofen, and flurbiprofen from human plasma. The analysis was carried out on a C18 (150 × 4.6 mm; 5 μm) column. The mobile phase used was water–acetonitrile (55:45, v/v) adjusted to pH 3.0 using trifluoroacetic acid, at a flow rate 0.5 mL/min with a detection wavelength of 225 nm. The values for the capacity factors for the profen samples ranged from 0.47 to 1.50. The values for the selectivity factor (α) for ketoprofen–flurbiprofen, flurbiprofen–ibuprofen and ibuprofen–ketoprofen combinations from human plasma samples were 1.99, 1.00 and 2.10, respectively. The resolution factors (Rs) for ketoprofen–flurbiprofen, flurbiprofen–ibuprofen and ibuprofen–ketoprofen from plasma samples were 3.00, 1.50 and 4.10, respectively. The percentage recoveries of ibuprofen, ketoprofen, and flurbiprofen from human plasma were 75–85%. All of the profens were separated within 7.0 min, indicating a relatively fast method. During the development of the SPMMTE procedure the parameters of pH, contact time, desorption and types of solvents were optimized. The final method was also found to be efficient, effective and inexpensive. Copyright © 2016 John Wiley & Sons, Ltd.
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ArticleID:BMC3676
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0269-3879
1099-0801
DOI:10.1002/bmc.3676