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Band composition analysis: a new procedure for deconvolution of the mass spectra of organometallic compounds
Author(s) -
Szymura Jacek A.,
Lamkiewicz Jan
Publication year - 2003
Publication title -
journal of mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 121
eISSN - 1096-9888
pISSN - 1076-5174
DOI - 10.1002/jms.499
Subject(s) - chemistry , deconvolution , spectral line , composition (language) , analytical chemistry (journal) , mass spectrum , mass spectrometry , computational chemistry , computational physics , chromatography , optics , physics , quantum mechanics , philosophy , linguistics
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 α and a contribution x i from the theoretical band. If s 2 theor > 20 the band is deemed complex and needs modeling. The values α > 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.