Literature DB >> 25800188

Chip-based nanoelectrospray ionization with Fourier transform mass spectrometric detection to screen for local anesthetics intended to mask limb sore in walking horses.

Szabolcs Szarka1, Laszlo Prokai.   

Abstract

We report a high-throughput chip-based nanoelectrospray ionization method coupled with Fourier transform mass spectrometry to screen for local anesthetics in samples collected by swabbing. These drugs have been used to mask pain on the limbs of walking horses after forbidden practices of soring or physical abuse. Optimized for lidocaine, the method afforded sub-ppm mass accuracy for nine local anesthetics included in the study. From doped cotton swabs, two third and all of the analytes were detected after adding 10 ng and 100 ng of each drug, respectively. Benzocaine and/or lidocaine were found on positive swab samples collected during walking horse competitions.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  FTICR; local anesthetics; nanoelectrospray ionization; screening; walking horses

Mesh:

Substances:

Year:  2015        PMID: 25800188     DOI: 10.1002/jms.3558

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  3 in total

1.  Mass spectrometric analysis of carisoprodol and meprobamate in rat brain microdialysates.

Authors:  Laszlo Prokai; Petr Fryčák; Vien Nguyen; Michael J Forster
Journal:  J Mass Spectrom       Date:  2016-10       Impact factor: 1.982

2.  Direct Analysis in Real Time (DART) of an Organothiophosphate at Ultrahigh Resolution by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry and Tandem Mass Spectrometry.

Authors:  Laszlo Prokai; Stanley M Stevens
Journal:  Int J Mol Sci       Date:  2016-01-16       Impact factor: 5.923

3.  Simultaneous Quantification of Serum Multi-Phospholipids as Potential Biomarkers for Differentiating Different Pathophysiological states of lung, stomach, intestine, and pancreas.

Authors:  Yumei Guo; Junling Ren; Xiaoou Li; Xiaofeng Liu; Ning Liu; Yanmin Wang; Zhili Li
Journal:  J Cancer       Date:  2017-07-15       Impact factor: 4.207

  3 in total

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