Literature DB >> 24610686

Improving sensitivity in microchip electrophoresis coupled to ESI-MS/MS on the example of a cardiac drug mixture.

Fabian Schwarzkopf1, Tobias Scholl, Stefan Ohla, Detlev Belder.   

Abstract

A comprehensive study for a sensitivity optimization in MCE with mass spectrometric detection is presented. As a text mixture, we chose a mixture of the cardiac drugs propranolol, bisoprolol, lidocaine, procaine and studied the effect of different chip layouts and experimental parameters with the aim of achieving both high sensitivity in MS detection and adequate chip electrophoretic separation. An important aspect was a comparison of microfluidic layouts containing various sheath-flow channels with that avoiding sheath-flow junctions on-chip. We utilized glass chips with monolithically integrated nanospray emitter tips coupled dead volume-free to an IT mass spectrometer running in fragmentation mode (MS(n) ). With this setup, detection limits down to 0.6 ng/mL for the model compound propranolol were achieved.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Glass chip; Mass spectrometry; Microchip electrophoresis; Monolithic emitter; Sensitivity

Mesh:

Substances:

Year:  2014        PMID: 24610686     DOI: 10.1002/elps.201300615

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  2 in total

1.  Microfluidic electrophoretic non-enzymatic kanamycin assay making use of a stirring bar functionalized with gold-labeled aptamer, of a fluorescent DNA probe, and of signal amplification via hybridization chain reaction.

Authors:  Kai Zhang; Ning Gan; Futao Hu; Xixue Chen; Tianhua Li; Jinxuan Cao
Journal:  Mikrochim Acta       Date:  2018-02-17       Impact factor: 5.833

2.  On-line pre-treatment, separation, and nanoelectrospray mass spectrometric determinations for pesticide metabolites and peptides based on a modular microfluidic platform.

Authors:  Yinyin Hao; Yajing Bao; Xueying Huang; Yijun Hu; Bo Xiong
Journal:  RSC Adv       Date:  2018-11-28       Impact factor: 3.361

  2 in total

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