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Semi-automated tandem mass spectrometric (MS/MS) triple quadrupole operating parameter optimization for high-throughput MS/MS detection workflows.

作者信息

Geddes Kristin, Adamson Gary, Dube Neal, Crathern Susan, King Richard C

机构信息

Drug Metabolism and Pharmacokinetics, Merck & Co., Inc., Sumneytown Pike, West Point, PA, USA.

出版信息

Rapid Commun Mass Spectrom. 2009 May;23(9):1303-12. doi: 10.1002/rcm.3983.

DOI:10.1002/rcm.3983
PMID:19334293
Abstract

This paper describes an automated workflow for the determination of selected reaction monitoring (SRM) transitions and optimum mass spectrometric (MS) instrument parameters. The approach uses a Nanomate from Advion Biosciences for automated infusion of small amounts of sample in combination with Automaton optimization software from Sciex. The results are stored in the Analyst software Compound Database for automated acquisition method building. Comparisons are presented between the more traditional optimization methods of manual flow injection optimization, Autotune infusion optimization, Automaton flow injection optimization and the Nanomate-Automaton optimization approach. Data is also presented to show that acquisition methods developed on the Sciex model API3000 instrument can be effectively transferred to the Sceix API4000 and API5000 model instruments.

摘要

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