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Optimal design of experiments applied to headspace solid phase microextraction for the quantification of vicinal diketones in beer through gas chromatography-mass spectrometric detection
dc.contributor.author | Leça, João M. | |
dc.contributor.author | Pereira, Ana C. | |
dc.contributor.author | Vieira, Ana C. | |
dc.contributor.author | Reis, Marco S. | |
dc.contributor.author | Marques, José C. | |
dc.date.accessioned | 2021-10-14T10:23:34Z | |
dc.date.available | 2021-10-14T10:23:34Z | |
dc.date.issued | 2015 | |
dc.description.abstract | Vicinal diketones, namely diacetyl (DC) and pentanedione (PN), are compounds naturally found in beer that play a key role in the definition of its aroma. In lager beer, they are responsible for off-flavors (buttery flavor) and therefore their presence and quantification is of paramount importance to beer producers. Aiming at developing an accurate quantitative monitoring scheme to follow these off-flavor compounds during beer production and in the final product, the head space solid-phase microextraction (HS-SPME) analytical procedure was tuned through experiments planned in an optimal way and the final settings were fully validated. Optimal design of experiments (O-DOE) is a computational, statistically oriented approach for designing experiences that are most informative according to a well-defined criterion. This methodology was applied for HS-SPME optimization, leading to the following optimal extraction conditions for the quantification of VDK: use a CAR/PDMS fiber, 5 ml of samples in 20 ml vial, 5 min of pre-incubation time followed by 25 min of extraction at 30 C, with agitation. The validation of the final analytical methodology was performed using a matrix-matched calibration, in order to mini mize matrix effects. The following key features were obtained: linearity (R2 > 0.999, both for diacetyl and 2,3-pentanedione), high sensitivity (LOD of 0.92 mg L 1 and 2.80 mg L 1 , and LOQ of 3.30 mg L 1 and 10.01 mg L 1 , for diacetyl and 2,3-pentanedione, respectively), recoveries of approximately 100% and suitable precision (repeatability and reproducibility lower than 3% and 7.5%, respectively). The applicability of the methodology was fully confirmed through an independent analysis of several beer samples, with analyte concentrations ranging from 4 to 200 g L 1 | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Leça, J. M., Pereira, A. C., Vieira, A. C., Reis, M. S., & Marques, J. C. (2015). Optimal design of experiments applied to headspace solid phase microextraction for the quantification of vicinal diketones in beer through gas chromatography-mass spectrometric detection. Analytica chimica acta, 887, 101-110. https://doi.org/10.1016/j.aca.2015.06.044 | pt_PT |
dc.identifier.doi | 10.1016/j.aca.2015.06.044 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.13/3727 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Elsevier | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | Vicinal diketones | pt_PT |
dc.subject | Headspace solid phase microextraction | pt_PT |
dc.subject | Optimization | pt_PT |
dc.subject | Optimal design of experiments | pt_PT |
dc.subject | . | pt_PT |
dc.subject | Faculdade de Ciências da Vida | pt_PT |
dc.subject | Escola Superior de Tecnologias e Gestão | pt_PT |
dc.subject | Faculdade de Ciências Exatas e da Engenharia | pt_PT |
dc.title | Optimal design of experiments applied to headspace solid phase microextraction for the quantification of vicinal diketones in beer through gas chromatography-mass spectrometric detection | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 110 | pt_PT |
oaire.citation.startPage | 101 | pt_PT |
oaire.citation.title | Analytica Chimica Acta | pt_PT |
oaire.citation.volume | 887 | pt_PT |
person.familyName | Leça | |
person.familyName | Pereira | |
person.familyName | Leal Vieira | |
person.familyName | Reis | |
person.familyName | Marques | |
person.givenName | João Micael | |
person.givenName | Ana Cristina | |
person.givenName | Ana Carolina | |
person.givenName | Marco | |
person.givenName | Jose C | |
person.identifier | 1083569 | |
person.identifier | 1374847 | |
person.identifier.ciencia-id | 6213-EB73-1A9F | |
person.identifier.ciencia-id | 251D-B696-A3D1 | |
person.identifier.ciencia-id | 1F18-D56D-A988 | |
person.identifier.ciencia-id | 9817-7687-05DC | |
person.identifier.ciencia-id | 1713-6DA1-A551 | |
person.identifier.orcid | 0000-0003-1704-6745 | |
person.identifier.orcid | 0000-0003-3097-7704 | |
person.identifier.orcid | 0000-0003-3701-9648 | |
person.identifier.orcid | 0000-0002-4997-8865 | |
person.identifier.orcid | 0000-0002-4832-4341 | |
person.identifier.rid | A-7681-2015 | |
person.identifier.rid | G-7266-2019 | |
person.identifier.rid | F-3014-2010 | |
person.identifier.scopus-author-id | 55979990800 | |
person.identifier.scopus-author-id | 56483357000 | |
person.identifier.scopus-author-id | 9273948800 | |
person.identifier.scopus-author-id | 7203033313 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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relation.isAuthorOfPublication.latestForDiscovery | 6ba13ec2-560d-4e9a-aa6d-0ec57000dcbc |
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