Publicação
The electronic nose coupled with chemometric tools for discriminating the quality of black tea samples in situ
| dc.contributor.author | Hidayat, Shidiq Nur | |
| dc.contributor.author | Triyana, Kuwat | |
| dc.contributor.author | Fauzan, Inggrit | |
| dc.contributor.author | Julian, Trisna | |
| dc.contributor.author | Lelono, Danang | |
| dc.contributor.author | Yusuf, Yusril | |
| dc.contributor.author | Ngadiman, N. | |
| dc.contributor.author | Veloso, Ana C.A. | |
| dc.contributor.author | Peres, António M. | |
| dc.date.accessioned | 2018-02-19T10:00:00Z | |
| dc.date.accessioned | 2020-01-06T14:10:10Z | |
| dc.date.available | 2018-01-19T10:00:00Z | |
| dc.date.available | 2020-01-06T14:10:10Z | |
| dc.date.issued | 2019 | |
| 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-e ective and fast, green procedure that could be implemented in the near future by the tea industry. | |
| dc.description.sponsorship | This research and APC were funded by the 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. | |
| dc.description.version | info:eu-repo/semantics/publishedVersion | en_EN |
| 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. (2019). The electronic nose coupled with chemometric tools for discriminating the quality of black tea samples in situ. Chemosensors. ISSN 2227-9040. 7, p. 1-14 | en_EN |
| dc.identifier.doi | 10.3390/chemosensors7030029 | en_EN |
| dc.identifier.uri | http://hdl.handle.net/10198/20262 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | en_EN |
| dc.subject | Black tea | en_EN |
| dc.subject | Electronic nose | en_EN |
| dc.subject | Multivariate statistical tools | en_EN |
| dc.subject | Preprocessing | en_EN |
| dc.title | The electronic nose coupled with chemometric tools for discriminating the quality of black tea samples in situ | en_EN |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| person.familyName | Peres | |
| person.givenName | António M. | |
| person.identifier | 107333 | |
| person.identifier.ciencia-id | CF16-5443-F420 | |
| person.identifier.orcid | 0000-0001-6595-9165 | |
| person.identifier.rid | I-8470-2012 | |
| person.identifier.scopus-author-id | 7102331969 | |
| rcaap.rights | openAccess | en_EN |
| rcaap.type | article | en_EN |
| relation.isAuthorOfPublication | 7d93be47-8dc4-4413-9304-5b978773d3bb | |
| relation.isAuthorOfPublication.latestForDiscovery | 7d93be47-8dc4-4413-9304-5b978773d3bb |