Literature DB >> 17353019

Rapid headspace solid-phase microextraction-gas chromatographic-time-of-flight mass spectrometric method for qualitative profiling of ice wine volatile fraction. II: Classification of Canadian and Czech ice wines using statistical evaluation of the data.

Lucie Setkova1, Sanja Risticevic, Janusz Pawliszyn.   

Abstract

The previously developed and optimized headspace solid-phase microextraction (HS-SPME)-GC-time-of-flight (TOF) MS analytical method for the determination of compounds with a wide range of polarities and volatilities was successfully used in this study to characterize and classify a large set of ice wines according to their origin, grape variety and oak or stainless steel fermentation/ageing conditions, based on a statistical evaluation (principal component analysis (PCA)) of the measured data. More than 130 ice wine samples collected directly from Canadian and Czech wine producers were analyzed in this study. The SPME step was beneficially carried out utilizing the new-generation super elastic divinylbenzene/Carboxen/polydimethylsiloxane (DVB/CAR/PDMS) 50 microm/30 microm fiber assembly. One fiber was used for the whole sequence of ice wine samples, control and blank experiments, which consisted of more than 600 individual extraction/injection cycles. Utilizing the high-speed TOF analyzer, full spectral information within the range of 35-450 u was collected for the entire GC run (as short as 4.5 min) without compromising in the detection sensitivity, as compared to other scanning mass analyzers operated in selected ion monitoring or MS(n) mode to achieve similar sensitivity. The identification of analytes was performed by a combination of the linear temperature-programmed retention index (LTPRI) approach with the comparison of the obtained spectra with three libraries included in the ChromaTOF software. A total of 201 peaks were tentatively assigned as ice wine aroma components and 58 of those compounds were evaluated in all of the examined samples.

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Year:  2007        PMID: 17353019     DOI: 10.1016/j.chroma.2007.02.052

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


  3 in total

1.  Protocol for the development of automated high-throughput SPME-GC methods for the analysis of volatile and semivolatile constituents in wine samples.

Authors:  Sanja Risticevic; Yong Chen; Lucie Kudlejova; Rosa Vatinno; Bruno Baltensperger; John R Stuff; Dietmar Hein; Janusz Pawliszyn
Journal:  Nat Protoc       Date:  2010-01-07       Impact factor: 13.491

2.  Volatile components of Rhizoma Alpiniae Officinarum using three different extraction methods combined with gas chromatography-mass spectrometry.

Authors:  Zhi-Sheng Xie; Xin-Jun Xu; Chun-Yan Xie; Jie-Yun Huang; Mei Yang; De-Po Yang
Journal:  J Pharm Anal       Date:  2012-10-07

3.  Pinot Blanc: Impact of the Winemaking Variables on the Evolution of the Phenolic, Volatile and Sensory Profiles.

Authors:  Amanda Dupas de Matos; Edoardo Longo; Danila Chiotti; Ulrich Pedri; Daniela Eisenstecken; Christof Sanoll; Peter Robatscher; Emanuele Boselli
Journal:  Foods       Date:  2020-04-15
  3 in total

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