4.6 Article

Microextraction by packed sorbent as sample preparation step for atorvastatin and its metabolites in biological samples-Critical evaluation

Journal

JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
Volume 55, Issue 2, Pages 301-308

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jpba.2011.01.025

Keywords

Atorvastatin; UHPLC; Tandem mass spectrometry; MEPS; Bio-analytical method

Funding

  1. [MSM0021620822]
  2. [SVV/2011/263002]

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Atorvastatin belongs to the group of lipid-lowering drugs known as statins. They significantly reduce the levels of total cholesterol, low-density cholesterol and plasma triglycerides therefore they are widely used in the treatment of hypercholesterolemia. Recently developed methods for the determination of atorvastatin and its metabolites in plasma used SPE (solid phase extraction) or LLE (liquid-liquid extraction) as the sample preparation step. However, both procedures are quite time-consuming and need relatively high volume of solvent/sample, which is impractical for the routine analyses of many biological samples. The aim of this work was to develop and validate more suitable sample preparation method for the determination of atorvastatin and its metabolites in biological samples using MEPS (microextraction by packed sorbent). The optimal conditions of MEPS extraction were using C8 sorbent and only 50 ill of the sample. The analytes were eluted by 100111 of the mixture of acetonitrile:0.1 M ammonium acetate pH 4.5 (95:5, v:v). The analytical method was validated and demonstrated good linearity (r(2) > 0.9990), recovery (89-115%) and intra-day precision (RSD < 10%). Total time of the sample preparation was three times shorter (7 min) compared to SPE. The volume of sample was twenty times lower and the volume of solvents about ten times lower compared to SPE. Combination of fast MEPS method together with quick UHPLC-MS/MS was used for the determination of atorvastatin and its two metabolites in serum obtained from patients with familiar hypercholesterolemia. (C) 2011 Elsevier B.V. All rights reserved.

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