Literature DB >> 19165776

Imaging mass spectrometry for examining localization of polymeric composition in matrix-assisted laser desorption/ionization samples.

Steffen M Weidner1, Jana Falkenhagen.   

Abstract

The localization of polymeric composition in samples prepared for matrix-assisted laser desorption/ionization (MALDI) analysis has been investigated by imaging mass spectrometry. Various matrices and solvents were used for sample spot preparation of a polybutyleneglycol (PBG 1000). It was shown that in visibly homogeneous spots, prepared using the 'dried droplet' method, separation between matrix and polymer takes place. Moreover, using alpha-cyano-4-hydroxycinnamic acid (CCA) as matrix and methanol as solvent molecular mass separation of the polymer homologues in the spots was detectable. In contrast to manually spotted samples, dry spray deposition results in homogeneous layers showing no separation effects. John Wiley & Sons, Ltd

Entities:  

Year:  2009        PMID: 19165776     DOI: 10.1002/rcm.3919

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


  3 in total

1.  Citric Acid Capped Iron Oxide Nanoparticles as an Effective MALDI Matrix for Polymers.

Authors:  Qiaoli Liang; Jennifer Sherwood; Thomas Macher; Joseph M Wilson; Yuping Bao; Carolyn J Cassady
Journal:  J Am Soc Mass Spectrom       Date:  2016-12-06       Impact factor: 3.109

2.  Matrix segregation as the major cause for sample inhomogeneity in MALDI dried droplet spots.

Authors:  Stefan J Gabriel; Clemens Schwarzinger; Bettina Schwarzinger; Ulrich Panne; Steffen M Weidner
Journal:  J Am Soc Mass Spectrom       Date:  2014-04-30       Impact factor: 3.109

3.  Amorphous poly-N-vinylcarbazole polymer as a novel matrix for the determination of low molecular weight compounds by MALDI-TOF MS.

Authors:  Xiu-Ying Chen; Yong-Hui Wang; Shu-Yue Ren; Shuang Li; Yu Wang; Kang Qin; Sen Li; Dian-Peng Han; Yuan Peng; Tie Han; Zhi-Xian Gao; Bao-Xiang Gao; Huan-Ying Zhou
Journal:  RSC Adv       Date:  2022-05-18       Impact factor: 4.036

  3 in total

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