Literature DB >> 20411582

Evaluation of two liquid chromatography/tandem mass spectrometry platforms for quantification of monensin in animal feed and milk.

Susie Y Dai1, Timothy J Herrman.   

Abstract

Monensin is an anticoccidial drug that has been used as an additive in medicated feed. The United States Food and Drug Administration (USFDA) has included monensin in the national surveillance schemes for residues in foodstuff. In this study, two simple, selective and rapid methods were developed to determine monensin content in animal feed and milk. The methods enabled the detection of monensin residues as low as 1 ppb. Moreover, the two methods were used as models to compare two common liquid chromatography/tandem mass spectrometry (LC/MS/MS) platforms; an LC linear ion trap (LC/LIT) and an LC triple quadrupole (LC/QqQ). The two instrument platforms were evaluated for their matrix effect dependence, precision and accuracy. The LC/QqQ presented a lower limit of detection and limit of quantitation (LOD and LOQ) and showed less matrix dependence as compared to the LC/LIT. The LC/QqQ instrument also demonstrated a better intermediate precision. For example, the intermediate precision standard deviation calculated for 27 analyses across three days was 4% and 11% for LC/QqQ and LC/LIT, respectively. Overall, the LC/QqQ represents a better choice for analysis of monensin with respect to LOD, LOQ, matrix interference and precision. Copyright 2010 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 20411582     DOI: 10.1002/rcm.4533

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  2 in total

1.  Metabolite identification and quantitation in LC-MS/MS-based metabolomics.

Authors:  Jun Feng Xiao; Bin Zhou; Habtom W Ressom
Journal:  Trends Analyt Chem       Date:  2012-02-01       Impact factor: 12.296

2.  The determination of six ionophore coccidiostats in feed by liquid chromatography with postcolumn derivatisation and spectrofotometric/fluorescence detection.

Authors:  Małgorzata Olejnik; Piotr Jedziniak; Teresa Szprengier-Juszkiewicz
Journal:  ScientificWorldJournal       Date:  2013-10-29
  2 in total

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