Literature DB >> 17964589

Liquid chromatography-atmospheric pressure photoionization-mass spectrometry analysis of triacylglycerol lipids--effects of mobile phases on sensitivity.

Sheng-Suan Cai1, Luke Chandler Short, Jack A Syage, Michael Potvin, Jonathan M Curtis.   

Abstract

In this work, we evaluate the performance of liquid chromatography-atmospheric pressure photoionization-mass spectrometry (LC-APPI-MS) for non-aqueous reversed phase analysis of six triacylglycerol model compounds using six binary mobile phases including MeOH/iPrOH, MeOH/CHCl(3), MeOH/CH(2)Cl(2), CH(3)CN/iPrOH, CH(3)CN/CHCl(3), and CH(3)CN/CH(2)Cl(2). All mobile phases give comparably good separation performance on a Gemini C(18) column with carefully adjusted gradient elution programs. APPI sensitivity varies from one mobile phase to the other without dopants; however use of dopants brings sensitivity to comparable levels for all mobile phases. MeOH/iPrOH offers high sensitivity without dopants due to self-doping effect and dopants are not necessary for this mobile phase. Dopants enhance analyte sensitivity to a varying degree for each of the mobile phases tested. Photo-induced chemical ionization (PCI) of solvent may play a significant role in achieving high sensitivity. Two critical parameters affecting sensitivity are photoabsorption cross-sections and ionization potentials of mobile phase solvents. How these mobile phase solvents affect APPI sensitivity and their dependency on dopant use are discussed. All six mobile phases offer comparable overall limits of detection for the analytes tested. These results indicate that LC-APPI-MS is a successful tool for neutral lipid analysis, giving high sensitivity with a variety of non-aqueous mobile phases.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17964589     DOI: 10.1016/j.chroma.2007.10.008

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  7 in total

Review 1.  NMR-spectroscopic analysis of mixtures: from structure to function.

Authors:  Ry R Forseth; Frank C Schroeder
Journal:  Curr Opin Chem Biol       Date:  2010-11-09       Impact factor: 8.822

2.  Analytical strategies for LC-MS-based targeted metabolomics.

Authors:  Wenyun Lu; Bryson D Bennett; Joshua D Rabinowitz
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-04-29       Impact factor: 3.205

3.  LipidCreator workbench to probe the lipidomic landscape.

Authors:  Bing Peng; Dominik Kopczynski; Brian S Pratt; Christer S Ejsing; Bo Burla; Martin Hermansson; Peter Imre Benke; Sock Hwee Tan; Mark Y Chan; Federico Torta; Dominik Schwudke; Sven W Meckelmann; Cristina Coman; Oliver J Schmitz; Brendan MacLean; Mailin-Christin Manke; Oliver Borst; Markus R Wenk; Nils Hoffmann; Robert Ahrends
Journal:  Nat Commun       Date:  2020-04-28       Impact factor: 14.919

4.  Atmospheric pressure photoionization as a powerful tool for large-scale lipidomic studies.

Authors:  Mathieu Gaudin; Laurent Imbert; Danielle Libong; Pierre Chaminade; Alain Brunelle; David Touboul; Olivier Laprévote
Journal:  J Am Soc Mass Spectrom       Date:  2012-02-23       Impact factor: 3.109

5.  Assessment of Tissue Specific Distribution and Seasonal Variation of Alkaloids in Alstonia scholaris.

Authors:  Rohit Mahar; Nagarajan Manivel; Sanjeev Kanojiya; Dipak K Mishra; Sanjeev K Shukla
Journal:  Metabolites       Date:  2022-06-30

6.  A versatile ultra-high performance LC-MS method for lipid profiling.

Authors:  Oskar L Knittelfelder; Bernd P Weberhofer; Thomas O Eichmann; Sepp D Kohlwein; Gerald N Rechberger
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2014-01-29       Impact factor: 3.205

Review 7.  Metabolomics in the Context of Plant Natural Products Research: From Sample Preparation to Metabolite Analysis.

Authors:  Mohamed A Salem; Leonardo Perez de Souza; Ahmed Serag; Alisdair R Fernie; Mohamed A Farag; Shahira M Ezzat; Saleh Alseekh
Journal:  Metabolites       Date:  2020-01-15
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.