Literature DB >> 12938102

Band composition analysis: a new procedure for deconvolution of the mass spectra of organometallic compounds.

Jacek A Szymura1, Jan Lamkiewicz.   

Abstract

A new chemometric procedure called band composition analysis (BCA) designed for the deconvolution of mass spectra of organometallics is proposed. BCA generates theoretical bands T(i), then combines them to obtain a model band M, which is finally compared with the experimental band E. All of these steps are realized with computer assistance. This modeling yields four parameters characterizing the experimental band: theoretical and model variances s(2) (theor) and s(2) (model), a fit factor alpha and a contribution x(i) from the theoretical band. If s(2) (theor) > 20 the band is deemed complex and needs modeling. The values alpha > 90 indicate that there is good agreement between the experimental and model bands. BCA is particularly effective for the modeling of complex isotopic bands often present in organometallics. Two illustrations of BCA for tetrabutyltin, C(16)H(36)Sn, and 1,1',2,2',3,3'-hexachloroferrocene, C(10)H(4)Cl(6)Fe, are shown. Copyright 2003 John Wiley & Sons, Ltd.

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Year:  2003        PMID: 12938102     DOI: 10.1002/jms.499

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  3 in total

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Authors:  Xiaowen Liu; Yuval Inbar; Pieter C Dorrestein; Colin Wynne; Nathan Edwards; Puneet Souda; Julian P Whitelegge; Vineet Bafna; Pavel A Pevzner
Journal:  Mol Cell Proteomics       Date:  2010-09-20       Impact factor: 5.911

2.  Modeling of isotopomeric cluster of the molecular ion.

Authors:  Andrzej J Goraczko
Journal:  J Mol Model       Date:  2007-05-09       Impact factor: 1.810

3.  NITPICK: peak identification for mass spectrometry data.

Authors:  Bernhard Y Renard; Marc Kirchner; Hanno Steen; Judith A J Steen; Fred A Hamprecht
Journal:  BMC Bioinformatics       Date:  2008-08-28       Impact factor: 3.169

  3 in total

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