Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.

VINCIGUERRA, L. L.; BÖCK, F. C.; SCHNEIDER, M. P.; REIS, N. A. P. C.; SILVA, L. F. da; SOUZA, K. C. M de; GUERRA, C. C.; GOMES, A. de A.; BERGOLD, A. M.; FERRÂO, M. F.; LAYANE LENARDON VINCIGUERRA, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.

EEM data recorded at different pH values was exploited by MCR-ALS in order to determine qualitative information about Brazilian red wines. In addition, the geographical traceability of wines produced in the Serra Gaúcha (Rio Grande do Sul) was carried out by DD-SIMCA considering 53 samples from the target class and 20 from other producing regions. The fluorescence signal corresponds to 9 EEMs recorded at different pH (3?11), generating four-way data. By MCR-ALS decomposition, eight factors were retrieved and related to typical chemical compounds found in red wine. In addition, the EEM pH data was used to build a one-class classification model, considering that MCR scores and all samples of the target class were properly recognised as belonging to the target class, with maximal sensitivity equal to 1. Samples of the non-target class were also adequately rejected by the model, and the specificity was found to be 0.97.

Saved in:

Bibliographic Details
Main Authors:	VINCIGUERRA, L. L., BÖCK, F. C., SCHNEIDER, M. P., REIS, N. A. P. C., SILVA, L. F. da, SOUZA, K. C. M de, GUERRA, C. C., GOMES, A. de A., BERGOLD, A. M., FERRÂO, M. F.
Other Authors:	LAYANE LENARDON VINCIGUERRA, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
Format:	Artigo de periódico biblioteca
Language:	Ingles English
Published:	2021-06-21
Subjects:	Multiway data, MCR-ALS, Red wine, One-class classification, Serra Gaúcha,
Online Access:	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1132416
Tags:	Add Tag No Tags, Be the first to tag this record!

id	dig-alice-doc-1132416
record_format	koha
spelling	dig-alice-doc-11324162021-06-21T13:06:11Z Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach. VINCIGUERRA, L. L. BÖCK, F. C. SCHNEIDER, M. P. REIS, N. A. P. C. SILVA, L. F. da SOUZA, K. C. M de GUERRA, C. C. GOMES, A. de A. BERGOLD, A. M. FERRÂO, M. F. LAYANE LENARDON VINCIGUERRA, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil NATALIA ALEJANDRA PISONI CANEDO REIS, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil LETICIA FLORES DA SILVA, CNPUV KELLY CHRISTINA MENDES DE SOUZA, Instituto de Ciˆencias Exatas-ICE. Universidade Federal do Sul e Sudeste do Para-Unifesspa CELITO CRIVELLARO GUERRA, CNPUV MATEUS PIRES SCHNEIDER, Institute of Chemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil ANA MARIA BERGOLD, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil MARCO FLÔRES FERRÂO, Instituto Nacional de Ciˆencia e Tecnologia-Bioanalítca (INCT-Bioanalítica), Cidade Universit´aria, Zeferino Vaz s/n, Campinas, São Paulo, Brazil. FERNANDA CARLA BÖCK, Institute of Chemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil ADRIANO DE ARAÚJO GOMES, Instituto de Ciˆencias Exatas-ICE. Universidade Federal do Sul e Sudeste do Pará-Unifesspa Multiway data MCR-ALS Red wine One-class classification Serra Gaúcha EEM data recorded at different pH values was exploited by MCR-ALS in order to determine qualitative information about Brazilian red wines. In addition, the geographical traceability of wines produced in the Serra Gaúcha (Rio Grande do Sul) was carried out by DD-SIMCA considering 53 samples from the target class and 20 from other producing regions. The fluorescence signal corresponds to 9 EEMs recorded at different pH (3?11), generating four-way data. By MCR-ALS decomposition, eight factors were retrieved and related to typical chemical compounds found in red wine. In addition, the EEM pH data was used to build a one-class classification model, considering that MCR scores and all samples of the target class were properly recognised as belonging to the target class, with maximal sensitivity equal to 1. Samples of the non-target class were also adequately rejected by the model, and the specificity was found to be 0.97. 2021-06-21T13:06:01Z 2021-06-21T13:06:01Z 2021-06-21 2021 Artigo de periódico Food Chemistry, v. 362, n. 130087, 2021. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1132416 Ingles en openAccess
institution	EMBRAPA
collection	DSpace
country	Brasil
countrycode	BR
component	Bibliográfico
access	En linea
databasecode	dig-alice
tag	biblioteca
region	America del Sur
libraryname	Sistema de bibliotecas de EMBRAPA
language	Ingles English
topic	Multiway data MCR-ALS Red wine One-class classification Serra Gaúcha Multiway data MCR-ALS Red wine One-class classification Serra Gaúcha
spellingShingle	Multiway data MCR-ALS Red wine One-class classification Serra Gaúcha Multiway data MCR-ALS Red wine One-class classification Serra Gaúcha VINCIGUERRA, L. L. BÖCK, F. C. SCHNEIDER, M. P. REIS, N. A. P. C. SILVA, L. F. da SOUZA, K. C. M de GUERRA, C. C. GOMES, A. de A. BERGOLD, A. M. FERRÂO, M. F. Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.
description	EEM data recorded at different pH values was exploited by MCR-ALS in order to determine qualitative information about Brazilian red wines. In addition, the geographical traceability of wines produced in the Serra Gaúcha (Rio Grande do Sul) was carried out by DD-SIMCA considering 53 samples from the target class and 20 from other producing regions. The fluorescence signal corresponds to 9 EEMs recorded at different pH (3?11), generating four-way data. By MCR-ALS decomposition, eight factors were retrieved and related to typical chemical compounds found in red wine. In addition, the EEM pH data was used to build a one-class classification model, considering that MCR scores and all samples of the target class were properly recognised as belonging to the target class, with maximal sensitivity equal to 1. Samples of the non-target class were also adequately rejected by the model, and the specificity was found to be 0.97.
author2	LAYANE LENARDON VINCIGUERRA, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
author_facet	LAYANE LENARDON VINCIGUERRA, Faculty of Pharmacy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil VINCIGUERRA, L. L. BÖCK, F. C. SCHNEIDER, M. P. REIS, N. A. P. C. SILVA, L. F. da SOUZA, K. C. M de GUERRA, C. C. GOMES, A. de A. BERGOLD, A. M. FERRÂO, M. F.
format	Artigo de periódico
topic_facet	Multiway data MCR-ALS Red wine One-class classification Serra Gaúcha
author	VINCIGUERRA, L. L. BÖCK, F. C. SCHNEIDER, M. P. REIS, N. A. P. C. SILVA, L. F. da SOUZA, K. C. M de GUERRA, C. C. GOMES, A. de A. BERGOLD, A. M. FERRÂO, M. F.
author_sort	VINCIGUERRA, L. L.
title	Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.
title_short	Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.
title_full	Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.
title_fullStr	Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.
title_full_unstemmed	Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.
title_sort	geographical origin authentication of southern brazilian red wines by means of eem-ph four-way data modelling coupled with one class classification approach.
publishDate	2021-06-21
url	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1132416
work_keys_str_mv	AT vinciguerrall geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT bockfc geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT schneidermp geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT reisnapc geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT silvalfda geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT souzakcmde geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT guerracc geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT gomesadea geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT bergoldam geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach AT ferraomf geographicaloriginauthenticationofsouthernbrazilianredwinesbymeansofeemphfourwaydatamodellingcoupledwithoneclassclassificationapproach
_version_	1756027560907505664

Geographical origin authentication of southern Brazilian red wines by means of EEM-pH four-way data modelling coupled with one class classification approach.

Similar Items

Resource Map