Literature DB >> 23625914

Determination of cotinine by LC-MS-MS with automated solid-phase extraction.

Allan J Dunlop1, Iain Clunie, Duncan W S Stephen, James J Allison.   

Abstract

Cotinine is the primary metabolite of nicotine and the preferred biomarker for assessing cigarette smoke exposure. Several liquid chromatography-tandem mass spectrometry (LC-MS-MS) methods have been described for measuring cotinine in biological fluids. Sample preparation typically involves manual solvent evaporation and reconstitution steps. This study describes a novel LC-MS-MS method for the quantification of cotinine by using electrospray ionization with multiple reaction monitoring and cotinine-d3 as internal standard, coupled with an automated solid-phase extraction (SPE) procedure. The assay was linear over the analytical range of 0.5-1,000 ng/mL. The limits of detection and quantification were 0.13 and 0.20 ng/mL, respectively. Intra-assay and inter-assay imprecision of cotinine in all samples was <5 and <10% (coefficient of variation), respectively. The analytical recovery of cotinine spiked into plasma was >95-100%. Matrix effects in serum and plasma were <10%. A rapid, sensitive and specific LC-MS-MS method was developed and validated for the determination of cotinine in human plasma, using a straightforward automated SPE protocol. The application of this method to an epidemiological study has demonstrated its utility for batch analyses of a large sample set (>500 samples).

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Year:  2013        PMID: 23625914     DOI: 10.1093/chromsci/bmt038

Source DB:  PubMed          Journal:  J Chromatogr Sci        ISSN: 0021-9665            Impact factor:   1.618


  1 in total

1.  Simultaneous analysis of urinary total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol, N'-nitrosonornicotine, and cotinine by liquid chromatography-tandem mass-spectrometry.

Authors:  Sampada S Nikam; Murari Gurjar; Hitesh Singhavi; Anand Patil; Arjun Singh; Peter Villalta; Pankaj Chaturvedi; Samir S Khariwala; Vikram Gota; Irina Stepanov
Journal:  Sci Rep       Date:  2021-10-08       Impact factor: 4.379

  1 in total

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