Literature DB >> 18790129

Interferences and contaminants encountered in modern mass spectrometry.

Bernd O Keller1, Jie Sui, Alex B Young, Randy M Whittal.   

Abstract

With the invention of electrospray ionization and matrix-assisted laser desorption/ionization, scientists employing modern mass spectrometry naturally face new challenges with respect to background interferences and contaminants that might not play a significant role in traditional or other analytical techniques. Efforts to continuously minimize sample volumes and measurable concentrations increase the need to understand where these interferences come from, how they can be identified, and if they can be eliminated. Knowledge of identity enables their use as internal calibrants for accurate mass measurements. This review/tutorial summarizes current literature on reported contaminants and introduces a number of novel interferences that have been observed and identified in our laboratories over the past decade. These include both compounds of proteinaceous and non-proteinaceous nature. In the supplemental data a spreadsheet is provided that contains a searchable ion list of all compounds identified to date.

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Year:  2008        PMID: 18790129     DOI: 10.1016/j.aca.2008.04.043

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  124 in total

1.  Rapid T cell-based identification of human tumor tissue antigens by automated two-dimensional protein fractionation.

Authors:  Philipp Beckhove; Rolf Warta; Britt Lemke; Diana Stoycheva; Frank Momburg; Martina Schnölzer; Uwe Warnken; Hubertus Schmitz-Winnenthal; Rezvan Ahmadi; Gerhard Dyckhoff; Mariana Bucur; Simone Jünger; Thomas Schueler; Volker Lennerz; Thomas Woelfel; Andreas Unterberg; Christel Herold-Mende
Journal:  J Clin Invest       Date:  2010-05-10       Impact factor: 14.808

Review 2.  Mass spectrometric imaging for biomedical tissue analysis.

Authors:  Kamila Chughtai; Ron M A Heeren
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

3.  Experimental resistance to drug combinations in Leishmania donovani: metabolic and phenotypic adaptations.

Authors:  Maya Berg; Raquel García-Hernández; Bart Cuypers; Manu Vanaerschot; José I Manzano; José A Poveda; José A Ferragut; Santiago Castanys; Jean-Claude Dujardin; Francisco Gamarro
Journal:  Antimicrob Agents Chemother       Date:  2015-02-02       Impact factor: 5.191

4.  Nonparametric Bayesian evaluation of differential protein quantification.

Authors:  Oliver Serang; A Ertugrul Cansizoglu; Lukas Käll; Hanno Steen; Judith A Steen
Journal:  J Proteome Res       Date:  2013-09-11       Impact factor: 4.466

5.  LipidFinder: A computational workflow for discovery of lipids identifies eicosanoid-phosphoinositides in platelets.

Authors:  Anne O'Connor; Christopher J Brasher; David A Slatter; Sven W Meckelmann; Jade I Hawksworth; Stuart M Allen; Valerie B O'Donnell
Journal:  JCI Insight       Date:  2017-04-06

6.  Mass spectrometry contamination from Tinuvin 770, a common additive in laboratory plastics.

Authors:  Kevin L Schauer; Carolyn J Broccardo; Kimberly M Webb; Paul A Covey; Jessica E Prenni
Journal:  J Biomol Tech       Date:  2013-07

7.  Rapid and deep human proteome analysis by single-dimension shotgun proteomics.

Authors:  Mohammad Pirmoradian; Harshavardhan Budamgunta; Konstantin Chingin; Bo Zhang; Juan Astorga-Wells; Roman A Zubarev
Journal:  Mol Cell Proteomics       Date:  2013-07-22       Impact factor: 5.911

8.  Lithium Hydroxide Hydrolysis Combined with MALDI TOF Mass Spectrometry for Rapid Sphingolipid Detection.

Authors:  Anh Tran; Liting Wan; Zhenbo Xu; Janette M Haro; Bing Li; Jace W Jones
Journal:  J Am Soc Mass Spectrom       Date:  2020-10-30       Impact factor: 3.109

9.  Reducing the haystack to find the needle: improved protein identification after fast elimination of non-interpretable peptide MS/MS spectra and noise reduction.

Authors:  Nedim Mujezinovic; Georg Schneider; Michael Wildpaner; Karl Mechtler; Frank Eisenhaber
Journal:  BMC Genomics       Date:  2010-02-10       Impact factor: 3.969

10.  Metabolomics to unveil and understand phenotypic diversity between pathogen populations.

Authors:  Ruben t'Kindt; Richard A Scheltema; Andris Jankevics; Kirstyn Brunker; Suman Rijal; Jean-Claude Dujardin; Rainer Breitling; David G Watson; Graham H Coombs; Saskia Decuypere
Journal:  PLoS Negl Trop Dis       Date:  2010-11-30
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