Dispersive liquid-liquid microextraction and gas chromatography accurate mass spectrometry for extraction and non-targeted profiling of volatile and semi-volatile compounds in grape marc distillates
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ISSN: 0021-9673
E-ISSN: 1873-3778
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Elsevier
Abstract
The suitability of dispersive liquid-liquid microextraction (DLLME) and gas
chromatography accurate mass spectrometry (GC-MS), based on a time-of-flight (TOF)
MS analyzer and using electron ionization (EI), for the characterization of volatile and
semi-volatile profiles of grape marc distillates (grappa) are evaluated. DLLME
conditions are optimized with a selection of compounds, from different chemical
families, present in the distillate spirit. Under final working conditions, 2.5 mL of sample
and 0.5 mL of organic solvents are consumed in the sample preparation process. The
absolute extraction efficiencies ranged from 30 to 100%, depending on the compound.
For the same sample volume, DLLME provided higher responses than solid-phase
microextraction (SPME) for most of the model compounds. The GC-EI-TOF-MS
records of grappa samples were processed using a data mining non-targeted search
algorithm. In this way, chromatographic peaks and accurate EI-MS spectra of sample
components were linked. The identities of more than 140 of these components are
proposed from comparison of their accurate spectra with those in a low resolution EIMS database, accurate masses of most intense fragment ions of known structure, and
available chromatographic retention index. The use of chromatographic and spectral
data, associated to the set of components mined from different grappa samples, for
multivariate analysis purposes is also illustrated in the study
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Bibliographic citation
Fontana, A., Rodríguez, I., Cela, R. (2018). Dispersive liquid–liquid microextraction and gas chromatography accurate mass spectrometry for extraction and non-targeted profiling of volatile and semi-volatile compounds in grape marc distillates. "Journal of Chromatography A", vol. 1546, 36-45.
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https://doi.org/10.1016/j.chroma.2018.03.003Sponsors
Financial support from Xunta de Galicia, Spanish Government and FEDER funds
(projects GRC-ED431C 2017/36 and CTQ2015-68660-P) is acknowledged. A.R.F.
thanks the external postdoctoral fellowship to CONICET, Argentina
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CC BY-NC-ND







