Your browser doesn't support javascript.
loading
ChelomEx: Isotope-assisted discovery of metal chelates in complex media using high-resolution LC-MS.
Baars, Oliver; Morel, François M M; Perlman, David H.
Afiliação
  • Baars O; Department of Geosciences, Princeton University , Princeton, New Jersey 08544, United States.
Anal Chem ; 86(22): 11298-305, 2014 Nov 18.
Article em En | MEDLINE | ID: mdl-25333600
ABSTRACT
Chelating agents can control the speciation and reactivity of trace metals in biological, environmental, and laboratory-derived media. A large number of trace metals (including Fe, Cu, Zn, Hg, and others) show characteristic isotopic fingerprints that can be exploited for the discovery of known and unknown organic metal complexes and related chelating ligands in very complex sample matrices using high-resolution liquid chromatography mass spectrometry (LC-MS). However, there is currently no free open-source software available for this purpose. We present a novel software tool, ChelomEx, which identifies isotope pattern-matched chromatographic features associated with metal complexes along with free ligands and other related adducts in high-resolution LC-MS data. High sensitivity and exclusion of false positives are achieved by evaluation of the chromatographic coherence of the isotope pattern within chromatographic features, which we demonstrate through the analysis of bacterial culture media. A built-in graphical user interface and compound library aid in identification and efficient evaluation of results. ChelomEx is implemented in MatLab. The source code, binaries for MS Windows and MAC OS X as well as test LC-MS data are available for download at SourceForge ( http//sourceforge.net/projects/chelomex ).
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Software / Quelantes Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Software / Quelantes Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article