Literature DB >> 15458724

Detection of anti-diabetics in equine plasma and urine by liquid chromatography-tandem mass spectrometry.

Emmie N M Ho1, Kenneth C H Yiu, Terence S M Wan, Brian D Stewart, Keith L Watkins.   

Abstract

AIM: Anti-diabetics such as sulfonylurea and thiazolidinedione derivatives are hypoglycemic drugs used for the treatment of diabetes. However, they can also be used as a stopper in horseracing. This paper describes a convenient method for the separation and simultaneous detection of 10 anti-diabetic drugs (namely glipizide, glibenclamide, glimepiride, gliclazide, tolazamide, tolbutamide, nateglinide, repaglinide, rosiglitazone and pioglitazone) in equine plasma and urine by LC-MS-MS.
METHOD: The anti-diabetics were isolated from equine plasma and urine by liquid-liquid extraction with 1,2-dichloroethane at acidic pH, and analysed by LC-MS-MS in the positive electrospray ionisation mode. Separation of 10 anti-diabetic drugs was achieved with a reversed phase C8 column using a mixture of aqueous ammonium formate (pH 3.0, 10 mM) and methanol as the mobile phase.
RESULTS: Detection and confirmation of the 10 anti-diabetic drugs at 10 ng/mL each in equine plasma and equine urine were achieved by full-scan MS-MS. All of these drugs were detected consistently at this concentration in spiked samples of different plasma and urine (n = 15 each). No significant matrix interferences were observed at the expected retention times of the targeted ions in blank urine samples (n = 30). This method has been used successfully in the analysis of drug-administration samples as well as official racing samples.
CONCLUSION: An LC-MS-MS method has been developed for the simultaneous detection of 10 anti-diabetics in equine plasma and urine. This method can be used to detect the abuse of anti-diabetic drugs in racehorses.

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Year:  2004        PMID: 15458724     DOI: 10.1016/j.jchromb.2004.03.070

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  9 in total

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  9 in total

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