Published February 17, 2014 | Version v1
Journal article

Gas chromatography–mass spectroscopy optimization by computer simulation, application to the analysis of 93 volatile organic compounds in workplace ambient air

  • 1. ISA Institut des Sciences Analytiques, Université Claude Bernard Lyon 1, 5 rue de la Doua, 69100 Villeurbanne (France)
  • 2. IRCELYON Institut de recherches sur la catalyse et l'environnement de Lyon, Université Claude Bernard Lyon1, 2 avenue Albert Einstein, 69626 Villeurbanne (France)

Description

Graphical abstract: -- Highlights: •Determination of GC thermodynamic retention parameters from only few preliminary experiments. •Simulation of GC separation for any kind of temperature program. •Identification of coelutions and automatic ion selection for MS quantification. •Example of application to two sets of VOC with 16 and 93 compounds. •Such methodology can be easily transposed to any set of volatile compounds. -- Abstract: GC–MS optimization method including both advantages from chromatographic separation and mass spectrometric detection was designed for a set of 93 volatile organic compounds. Only a few experiments were necessary to determine the thermodynamic retention parameters for all compounds on a RTX-VMS column. From these data, computer simulation was used in order to predict the retention times of the compounds in temperature programmed gas chromatography. Then, an automatic selection of ions from the NIST database was performed and compared to the optimum conditions (full separation of VOC). This simulation-selection procedure was used to screen a numerous set of GC and MS conditions in order to quickly design a GC–MS method whatever the set of compounds considered

Availability note (English)

Available from http://dx.doi.org/10.1016/j.aca.2014.01.016

Additional details

Identifiers

DOI
10.1016/j.aca.2014.01.016;
PII
S0003-2670(14)00062-2;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
812
Journal Page Range
p. 258-264
ISSN
0003-2670
CODEN
ACACAM

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45040874
Subject category
S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
Descriptors DEI
COMPUTERIZED SIMULATION; DETECTION; GAS CHROMATOGRAPHY; MASS SPECTROSCOPY; OPTIMIZATION; ORGANIC COMPOUNDS; RETENTION; VOLATILE MATTER; VOLATILITY
Descriptors DEC
CHROMATOGRAPHY; MATTER; SEPARATION PROCESSES; SIMULATION; SPECTROSCOPY

Optional Information

Copyright
Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.