References of "Brokl, Michal"
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See detailTaking Cadaveric Decomposition Chemistry out of Flatland
Stefanuto, Pierre-Hugues ULg; Perrault, K; Stadler, S et al

Conference (2014, July 07)

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See detailEnhanced Multivariate Analysis of Mainstream Tobacco Smoke Particulate Phase by HS-SPME-GC×GC-TOFMS
Brokl, Michal ULg; Bishop, L; Wright, C et al

Conference (2014, May 19)

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See detailEnhanced Multivariate Analysis of Mainstream Tobacco Smoke Particulate Phase by HS-SPME-GC×GC-TOFMS
Brokl, Michal ULg; Bishop, L; Wright, c et al

in Hyphenated Techniques in Chromatography HTC-13 - Book of abstracts (2014, January)

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See detailAnalysis of mainstream tobacco smoke by SPME-GC×GC-TOFMS
Brokl, Michal ULg; Bishop, L; Wright, C et al

Poster (2013, May)

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See detailMaking sense of the fume: GCxGC-TOFMS analysis of mainstream tobacco smoke
Brokl, Michal ULg; Bishop; Wright et al

Conference (2013, January)

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See detailCharacterizing human decomposition odour: an application of TD-GCxGC-TOFMS
Stadler, S; Stefanuto, Pierre-Hugues ULg; Brokl, Michal ULg et al

Conference (2013, January)

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See detailImprovement of Ylang-Ylang Essential Oil Characterization by GCxGC-TOFMS
Brokl, Michal ULg; Fauconnier, Marie-Laure ULg; Benini, Céline et al

in Molecules (2013), 18(2), 1783-1797

A single fraction of essential oil can often contain hundreds of compounds. Despite of the technical improvements and the enhanced selectivity currently offered by the state-of-the-art gas chromatography ... [more ▼]

A single fraction of essential oil can often contain hundreds of compounds. Despite of the technical improvements and the enhanced selectivity currently offered by the state-of-the-art gas chromatography (GC) and mass spectrometry (MS) instruments, the complexity of essential oils is frequently underestimated. Comprehensive two-dimensional GC coupled to time-of-flight MS (GC×GC-TOFMS) was used to improve the chemical characterization of ylang-ylang essential oil fractions recently reported in a previous one-dimensional (1D) GC study. Based on both, the enhanced chromatographic separation and the mass spectral deconvolution, 161 individual compounds were identified and labeled as potentially characteristic analytes found in both low and high boiling fractions issued from distillation of mature ylang-ylang flowers. Compared to the most recent full GC-MS characterization, this represents 75 new compounds, essentially consisting of terpenes, terpenoid esters, and alcohols. [less ▲]

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See detailAnalysis of mainstream tobacco smoke particulate phase using comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry
Brokl, Michal ULg; Bishop, L; Wright, C et al

in Journal of Separation Science (2013), 31

In tobacco research, the comparison of different tobacco blends as well as the puffdependent <br />behaviour of cigarettes is a matter of particular interest. For the investigation <br />of smoke ... [more ▼]

In tobacco research, the comparison of different tobacco blends as well as the puffdependent <br />behaviour of cigarettes is a matter of particular interest. For the investigation <br />of smoke characteristics, GC6GC offers different ways for data analysis, <br />namely, compound target analysis, automated peak-based compound classification <br />and comprehensive pixel-based data analysis. This study will show the application <br />as well as the pros and cons of these types of data analysis for very complex matrices <br />like cigarette particulate matter. In addition, new aspects about the recently discovered <br />puff-dependent behaviour of compounds in cigarette smoke will be presented. <br />Automated peak-based compound classification including mass spectrometric pattern <br />recognition is used for the classification of tobacco particulate matter samples <br />and the puff-dependent investigation of different compound classes. This compound <br />group specific analysis is further reinforced by applying an even more comprehensive <br />pixel-based analysis. This kind of analysis is used to generate fingerprints of <br />different types of cigarettes. The combination of fast feature reduction methods like <br />analysis of variance (ANOVA) and t-test with multivariate feature transformation <br />methods like partial least squares discriminate analysis (PLSDA) for feature selection <br />provides a powerful tool for a detailed inspection of different types of cigarettes. [less ▲]

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See detailGCxGC-TOFMS for Bioanalytical Applications
Brasseur, Catherine ULg; L'Homme, Benjamin ULg; Stefanuto, Pierre-Hugues ULg et al

Scientific conference (2012, August)

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See detailGC×GC-TOFMS for the comparison between different tobacco mainstream smoke
Brokl, Michal ULg; Bishop, L; Wright, C et al

Conference (2012, May)

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See detailAnalysis of tobacco mainstream smoke by GC×GC TOFMS
Brokl, Michal ULg; Bishop, Louise; Wright, Christopher et al

Poster (2012, March)

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See detailGC×GC TOFMS analysis of tobacco mainstream smoke
Brokl, Michal ULg; Bishop; Wright et al

in HTC-12 Book of abstracts (2012, February)

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See detailContribution of GC×GC-TOFMS to tobacco analysis
Brokl, Michal ULg; Bishop; Liu et al

Conference (2012, January)

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See detailAnalysis of synthetic canine training aids by comprehensive two-dimensional gas chromatography–time of flight mass spectrometry
Stefanuto, Pierre-Hugues ULg; Stadler, Sonja; Byer, jonathan et al

in Journal of Chromatography. A (2012), 1255

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See detailContribution of GC×GC TOFMS to tobacco analysis
Brokl, Michal ULg; Bishop, Louise; Wright, Christopher et al

Scientific conference (2011, September 21)

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