Repository logo
 
Publication

Modelling the ageing process: a novel strategy to analyze the wine evolution towards the expected features

2016Journal article Open access
Simple item page
dc.contributor.authorPereira, Ana C.
dc.contributor.authorCarvalho, Maria J.
dc.contributor.authorMiranda, Andreia
dc.contributor.authorLeça, João M.
dc.contributor.authorPereira, Vanda
dc.contributor.authorAlbuquerque, Francisco
dc.contributor.authorMarques, José C.
dc.contributor.authorReis, Marco S.
dc.date.accessioned2021-10-14T08:33:18Z
dc.date.available2021-10-14T08:33:18Z
dc.date.issued2016
dc.description.abstractIn this work we present a new strategy to monitor the wine evolution during the ageing process. More specifi cally, we validate a procedure for analyzing how wine evolves during the ageing process in relation to the desired and expected quality features and we apply the proposed methodology to the case of a Portuguese fortified wine, the Madeira wine, where we compare the wine evolution under two different ageing processes. The approach developed consists on modeling samples labeled as aged reference wines (5 year old Madeira wines), produced from four different grape varieties, and then analyze how and in which extent young wines (up to 3 years old) come closer to the reference data set. The analysis is based on a comprehensive set of chemical data, including: polyphenolic composition, organic acids, reducing sugars, color and oenological parameters, commonly used as routine quality control information. The study considers several feature extraction methods, such as: Principal Components of Analysis (PCA), Independent Component of Analysis (ICA) and Partial Least Squares (PLS). The classification methodologies tested were: Linear Discriminant Analysis (LDA), nearest neigh bor (k-NN) and Soft Independent Modelling by Class Analogy (SIMCA). The different options of preprocessing/ feature extraction/classification were evaluated and compared using a Monte Carlo approach. From our analysis, the best combination of feature extraction/classification methodologies was PLS/LDA, which presented a classification performance of approximately 90% for three out of the four classes modeled, and of about 78% for the remaining one. Regarding the wines monitored during the first 3 years, our analysis revealed that they indeed mature in relation to the five year old reference wines. Furthermore, for some wines, it is possible to detect differences between the two ageing processes analyzed. This study is of particular importance for this type of wines, where the ageing process plays a central role for attaining the expected quality levels, implying significant risks and costs for local and industrial producers. Notwithstanding the specific case study presented, the strategy outlined can be extrapolated to other products with similar characteristics in terms of their monitoring and process controlpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPereira, A. C., Carvalho, M. J., Miranda, A., Leça, J. M., Pereira, V., Albuquerque, F., ... & Reis, M. S. (2016). Modelling the ageing process: a novel strategy to analyze the wine evolution towards the expected features. Chemometrics and Intelligent Laboratory Systems, 154, 176-184. https://doi.org/10.1016/j.chemolab.2016.03.030pt_PT
dc.identifier.doi10.1016/j.chemolab.2016.03.030pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/3726
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectWine ageingpt_PT
dc.subjectChemical characterizationpt_PT
dc.subjectFeature extractionpt_PT
dc.subjectClassification modelspt_PT
dc.subjectProcess monitoring and evaluationpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências da Vidapt_PT
dc.subjectEscola Superior de Tecnologias e Gestãopt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleModelling the ageing process: a novel strategy to analyze the wine evolution towards the expected featurespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage184pt_PT
oaire.citation.startPage176pt_PT
oaire.citation.titleChemometrics and Intelligent Laboratory Systemspt_PT
oaire.citation.volume154pt_PT
person.familyNamePereira
person.familyNameMenezes Carvalho
person.familyNameMiranda
person.familyNameLeça
person.familyNamePereira
person.familyNameMarques
person.familyNameReis
person.givenNameAna Cristina
person.givenNameMaria João
person.givenNameAndreia
person.givenNameJoão Micael
person.givenNameVanda
person.givenNameJose C
person.givenNameMarco
person.identifier1083569
person.identifier41146
person.identifier1374847
person.identifier.ciencia-id251D-B696-A3D1
person.identifier.ciencia-id461A-2786-192D
person.identifier.ciencia-id6213-EB73-1A9F
person.identifier.ciencia-id0115-071E-87E8
person.identifier.ciencia-id1713-6DA1-A551
person.identifier.ciencia-id9817-7687-05DC
person.identifier.orcid0000-0003-3097-7704
person.identifier.orcid0000-0002-2769-276X
person.identifier.orcid0000-0003-4180-0541
person.identifier.orcid0000-0003-1704-6745
person.identifier.orcid0000-0003-0772-8953
person.identifier.orcid0000-0002-4832-4341
person.identifier.orcid0000-0002-4997-8865
person.identifier.ridA-7681-2015
person.identifier.ridJ-8697-2013
person.identifier.ridF-3014-2010
person.identifier.ridG-7266-2019
person.identifier.scopus-author-id56483357000
person.identifier.scopus-author-id55979990800
person.identifier.scopus-author-id36857887700
person.identifier.scopus-author-id7203033313
person.identifier.scopus-author-id9273948800
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication6ba13ec2-560d-4e9a-aa6d-0ec57000dcbc
relation.isAuthorOfPublication1bd3e730-cbc0-44d0-9ca9-bc5216f498db
relation.isAuthorOfPublication11819d66-3468-412d-907c-35262bb6e34d
relation.isAuthorOfPublicationda166c1d-bdcc-4b21-afd0-4b3e5906b3ea
relation.isAuthorOfPublicationac913112-adb8-4fe0-88b0-f49e6fb5635d
relation.isAuthorOfPublication08f4685f-b917-410a-b153-59911ff7d75e
relation.isAuthorOfPublication26d14a5e-49af-4fc1-80c4-6945a582a809
relation.isAuthorOfPublication.latestForDiscovery08f4685f-b917-410a-b153-59911ff7d75e

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Modelling the ageing process A novel strategy to analyze the wine evolution towards the expected features.pdf
Size:
761.47 KB
Format:
Adobe Portable Document Format
Download

Collections

Artigos em revistas internacionais