Literature DB >> 16998786

Characterization of typical chemical background interferences in atmospheric pressure ionization liquid chromatography-mass spectrometry.

Xinghua Guo1, Andries P Bruins, Thomas R Covey.   

Abstract

The structures and origins of typical chemical background noise ions in positive atmospheric pressure ionization liquid chromatography/mass spectrometry (API LC/MS) are investigated and summarized in this study. This was done by classifying chemical background ions using precursor and product ion scans on most abundant background ions to draw a family tree of the commonly occurring chemical background ions. The possible structures and the origins of the major chemical background noise are clearly revealed in the family trees. In agreement with some suggestions in the literature, the chemical background ions studied so far can be classified mainly as either ions of contaminants (or their degradation fragments) or cluster-related ones. A significant contribution from the contaminants (airborne, from tubing and/or solvents) from plasticizer additives (phthalates, phenyl phosphates, sebacates and adipates, etc.) and silicones is concluded. These ions of contaminants can also serve as nuclei for the clustering of HPLC solvent or additives, such as water and acetic acid, thereby leading to a second family of background ions. This study explains the persistence of some chemical background noise even under fairly strong declustering conditions in API LC/MS. One of the other interesting conclusions is that there is a clear difference in structures between the chemical background ions and the protonated analytes generated under atmospheric pressure ionization. This conclusion will contribute to the on-going research efforts to exclusively remove or reduce the interference of chemical background noise in API LC/MS. Copyright 2006 John Wiley & Sons, Ltd.

Entities:  

Year:  2006        PMID: 16998786     DOI: 10.1002/rcm.2715

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


  12 in total

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2.  Automatic Analyte-Ion Recognition and Background Removal for Ambient Mass-Spectrometric Data Based on Cross-Correlation.

Authors:  Yi You; Sunil P Badal; Jacob T Shelley
Journal:  J Am Soc Mass Spectrom       Date:  2019-06-03       Impact factor: 3.109

3.  Method for Continuous Monitoring of Electrospray Ion Formation.

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Journal:  J Am Soc Mass Spectrom       Date:  2017-07-20       Impact factor: 3.109

4.  Ionization of EPA contaminants in direct and dopant-assisted atmospheric pressure photoionization and atmospheric pressure laser ionization.

Authors:  Tiina J Kauppila; Hendrik Kersten; Thorsten Benter
Journal:  J Am Soc Mass Spectrom       Date:  2015-04-01       Impact factor: 3.109

5.  Trapping mode dipolar DC collisional activation in the RF-only ion guide of a linear ion trap/time-of-flight instrument for gaseous bio-ion declustering.

Authors:  Ian K Webb; Yang Gao; Frank A Londry; Scott A McLuckey
Journal:  J Mass Spectrom       Date:  2013-09       Impact factor: 1.982

6.  Improved Annotation of Untargeted Metabolomics Data through Buffer Modifications That Shift Adduct Mass and Intensity.

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Journal:  Anal Chem       Date:  2020-08-12       Impact factor: 6.986

7.  Alternative reagents for chemical noise reduction in liquid chromatography-mass spectrometry using selective ion-molecule reactions.

Authors:  Xinghua Guo; Andries P Bruins; Thomas R Covey; Martin Trötzmüller; Ernst Lankmayr
Journal:  J Am Soc Mass Spectrom       Date:  2008-09-30       Impact factor: 3.109

8.  Characterizing bacterial volatiles using secondary electrospray ionization mass spectrometry (SESI-MS).

Authors:  Heather D Bean; Jiangjiang Zhu; Jane E Hill
Journal:  J Vis Exp       Date:  2011-06-08       Impact factor: 1.355

9.  Comprehensive Real-Time Analysis of the Yeast Volatilome.

Authors:  Alberto Tejero Rioseras; Diego Garcia Gomez; Birgitta E Ebert; Lars M Blank; Alfredo J Ibáñez; Pablo M-L Sinues
Journal:  Sci Rep       Date:  2017-10-27       Impact factor: 4.379

10.  Creating a Reliable Mass Spectral-Retention Time Library for All Ion Fragmentation-Based Metabolomics.

Authors:  Ipputa Tada; Hiroshi Tsugawa; Isabel Meister; Pei Zhang; Rie Shu; Riho Katsumi; Craig E Wheelock; Masanori Arita; Romanas Chaleckis
Journal:  Metabolites       Date:  2019-10-26
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