References of "McGregor, Laura"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailClassification of olive oil and geographical origin by using a multi-cumulative trapping HS-SPME-GC-MS follow by a novel data handling software
Spadafora, Natasha; Mascrez, Steven ULiege; McGregor, Laura et al

Poster (2021, June)

The sensory attributes of extra virgin olive oil, and in particular specific aroma defects, are officially responsible for oil classification (or declassification) into extra virgin, virgin or lampante ... [more ▼]

The sensory attributes of extra virgin olive oil, and in particular specific aroma defects, are officially responsible for oil classification (or declassification) into extra virgin, virgin or lampante olive oil. Undoubtedly, volatile compounds play a crucial role in defining olive oil sensory quality and research efforts have been dedicated to unravel the composition of this informative fraction, to better understand correlations with quality attributes. The relative distribution of volatiles depends on several parameters (i.e., cultivar, geographical origin, fruit ripeness, processing practices, and storage) meaning the identification of an unequivocal fingerprint correlated to quality and authenticity is a difficult task. Most of these variables contribute towards the intensity and quality of the green and fruity perception, while the presence of defects is mainly due to inappropriate manufacturing practices. Multiple-cumulative trapping headspace-solid-phase microextraction (named MC-SPME) is a powerful technique proven to enhance the level of information on the volatile profile. Shorter cumulative extraction times, using a low volume of sample to avoid headspace saturation proved effective for discriminating between different qualities of olive oil (i.e. extra-virgin, virgin and lampante oil) as well as the different geographical origins among the extra virgin oils. The use of a novel data mining and chemometrics software enabled automatic alignment of chromatograms and extraction of useful information in a simple and straightforward way, supporting the routine application of this approach to corroborate sensory panel analysis. [less ▲]

Detailed reference viewed: 44 (3 ULiège)
Full Text
See detailVariable‐energy electron ionisation for GC×GC forensic blood VOC profiling
Dubois, Lena ULiege; Perrault, Katelynn ULiege; Stefanuto, Pierre-Hugues ULiege et al

Scientific conference (2017, December)

Detailed reference viewed: 53 (3 ULiège)
Full Text
Peer Reviewed
See detailMonitoring Changes in the Volatile Profile of Aging Human Blood
Dubois, Lena ULiege; Perrault, Katelynn ULiege; Stefanuto, Pierre-Hugues ULiege et al

in Forensic Science International (2017), 277

Detailed reference viewed: 43 (5 ULiège)
See detailExploring variable electron ionization for forensic blood VOC profiling
Dubois, Lena ULiege; Perrault, Katelynn ULiege; Stefanuto, Pierre-Hugues ULiege et al

Scientific conference (2016, July 07)

Detailed reference viewed: 31 (6 ULiège)