Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/61713
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Campo DC | Valor | Idioma |
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dc.contributor.author | Hidayat, Shidiq Nur | por |
dc.contributor.author | Triyana, Kuwat | por |
dc.contributor.author | Fauzan, Inggrit | por |
dc.contributor.author | Julian, Trisna | por |
dc.contributor.author | Lelono, Danang | por |
dc.contributor.author | Yusuf, Yusril | por |
dc.contributor.author | Ngadiman, N. | por |
dc.contributor.author | Veloso, Ana C. A. | por |
dc.contributor.author | Peres, António M. | por |
dc.date.accessioned | 2019-10-11T08:36:00Z | - |
dc.date.available | 2019-10-11T08:36:00Z | - |
dc.date.issued | 2019-07-09 | - |
dc.identifier.citation | Hidayat, Shidiq Nur; Triyana, Kuwat; Fauzan, Inggrit; Julian, Trisna; Lelono, Danang; Yusuf, Yusril; Ngadiman, N.; Veloso, Ana C. A.; Peres, António M., The electronic nose coupled with chemometric tools for discriminating the quality of black tea samples in situ. Chemosensors, 7(3), 29, 2019 | por |
dc.identifier.uri | https://hdl.handle.net/1822/61713 | - |
dc.description.abstract | An electronic nose (E-nose), comprising eight metal oxide semiconductor (MOS) gas sensors, was used in situ for real-time classification of black tea according to its quality level. Principal component analysis (PCA) coupled with signal preprocessing techniques (i.e., time set value preprocessing, F1; area under curve preprocessing, F2; and maximum value preprocessing, F3), allowed grouping the samples from seven brands according to the quality level. The E-nose performance was further checked using multivariate supervised statistical methods, namely, the linear and quadratic discriminant analysis, support vector machine together with linear or radial kernels (SVM-linear and SVM-radial, respectively). For this purpose, the experimental dataset was split into two subsets, one used for model training and internal validation using a repeated K-fold cross-validation procedure (containing the samples collected during the first three days of tea production); and the other, for external validation purpose (i.e., test dataset, containing the samples collected during the 4th and 5th production days). The results pointed out that the E-nose-SVM-linear model together with the F3 signal preprocessing method was the most accurate, allowing 100% of correct predictive classifications (external-validation data subset) of the samples according to their quality levels. So, the E-nose-chemometric approach could be foreseen has a practical and feasible classification tool for assessing the black tea quality level, even when applied in-situ, at the harsh industrial environment, requiring a minimum and simple sample preparation. The proposed approach is a cost-effective and fast, green procedure that could be implemented in the near future by the tea industry. | por |
dc.description.sponsorship | Ministry of Research, Technology and Higher Education of the Republic of Indonesia through a research scheme of PTUPT 2019 (Contract No. 2688/UN1.DITLIT/DIT-LIT/LT/2019). This work was also financially supported by strategic project UID/EQU/50020/2019—Associate Laboratory LSRE-LCM, strategic project PEst-OE/AGR/UI0690/2014–CIMO, strategic funding UID/BIO/04469/2019-CEB and BioTecNorte operation (NORTE-01-0145-FEDER-000004), all funded by European Regional Development Fund (ERDF) through COMPETE2020—Programa Operacional Competitividade e Internacionalização (POCI)—and by national funds through FCT—Fundação para a Ciência e a Tecnologia I.P. | por |
dc.language.iso | eng | por |
dc.publisher | MDPI | por |
dc.rights | openAccess | por |
dc.subject | Electronic nose | por |
dc.subject | Black tea | por |
dc.subject | Preprocessing | por |
dc.subject | Multivariate statistical tools | por |
dc.title | The electronic nose coupled with chemometric tools for discriminating the quality of black tea samples in situ | por |
dc.type | article | - |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://www.mdpi.com/journal/chemosensors | por |
dc.comments | CEB52046 | por |
oaire.citationIssue | 29 | por |
oaire.citationVolume | 7 | por |
dc.date.updated | 2019-10-07T11:10:26Z | - |
dc.identifier.eissn | 2227-9040 | por |
dc.identifier.doi | 10.3390/chemosensors7030029 | por |
dc.subject.fos | Ciências Médicas::Medicina Básica | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | - |
dc.subject.wos | Science & Technology | por |
sdum.journal | Chemosensors | por |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_52046_1.pdf | 16,47 MB | Adobe PDF | Ver/Abrir |