4.7 Article

A comprehensive characterization of volatile profiles of plum brandies using gas chromatography coupled to high resolution mass spectrometry

Journal

LWT-FOOD SCIENCE AND TECHNOLOGY
Volume 167, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.lwt.2022.113864

Keywords

Plum brandy; Volatiles profile; Gas chromatography; High resolution mass spectrometry; Chemometric methods

Funding

  1. METROFOOD-CZ research infrastructure project (MEYS Grant) [LM2018100]
  2. [A1_FPBT_2021_001]

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This study employed gas chromatography coupled to high-resolution mass spectrometry to evaluate the sensory properties of plum brandies. The non-target screening approach enabled the assessment of different plum brandies and the construction of chemometric models for authentication and classification.
Alike in case of other spirits, specific sensory properties of plum brandies, which are associated with aromatic compounds pattern, depend not only on a fruit quality but also on technology used for raw material processing. In this study, novel approach based on the non-target screening of (semi)volatile compounds by gas chromatography coupled to high-resolution mass spectrometry (GC-HRMS) was employed. The potential of this approach to distinguish plum brandies of different origin was investigated. To involve as many compounds as possible for assessment, three different sample handling strategies prior to instrumental analysis were tested: (i) no pre-treatment direct sample injection, (ii) liquid-liquid extraction by ethyl acetate, (iii) extraction of volatiles by head-space solid-phase microextraction (HS-SPME). The latter approach was selected for obtaining GC-HRMS volatiles fingerprints of a unique set of 41 plum brandy samples produced by the distilleries from Czech Republic and from Bulgaria. Multivariate statistical data analysis enabled construction of chemometric models for unbiased authentication of plum brandies, moreover, distinguishing between premium plum brandies and other ones from the Czech Republic was achieved. In addition, volatile compounds such as p-cymene, methyl eugenol and furfural were identified among the most significant 'markers' responsible for reliable classification of the samples.

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