4.7 Article

Utilization of inverted dispersive liquid-liquid microextraction followed by HPLC-UV as a sensitive and efficient method for the extraction and determination of quercetin in honey and biological samples

Journal

TALANTA
Volume 89, Issue -, Pages 117-123

Publisher

ELSEVIER
DOI: 10.1016/j.talanta.2011.11.079

Keywords

Inverted dispersive liquid-liquid microextraction; Quercetin; Honey; Biological samples; High performance liquid chromatography

Ask authors/readers for more resources

A sensitive, rapid and efficient method for the extraction of quercetin as well as its determination in honey and biological samples was developed using inverted dispersive liquid-liquid microextraction (IDLLME) and HPLC-UV. The extraction method is based on the application of an extracting solvent lighter than water in the ternary component solvent (aqueous solution: extracting solvent: disperser solvent) system. The extraction parameters such as type and volume of extracting and dispersersolvent, pH of sample, stirring rate and extraction time were optimized. Under the optimal conditions (extracting solvent: 1004 1-octanol; disperser solvent: 300 mu L acetonitrile; pH of sample: 4.5 and stirring rate: 1000 rpm) a linear calibration curve was obtained in the range of 0.5-1000 ng mL(-1) with R-2 = 0.9993 (n = 10). The limits of detection and quantification were 0.26 and 0.78 ng mL(-1), respectively. The extraction recovery was 97% and the preconcentration factor was 243. While the relative standard deviation for 25 ng mL(-1) was 3.51 (n = 5), it was 2.12 (n = 5) for 500 ng mL(-1) of quercetin. The method was successfully applied for the preconcentration and determination of quercetin in honey, urine and plasma samples. (C) 2011 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available