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Determination of the botanical origin of honey by sensor fusion of impedance e-tongue and optical spectroscopy

2013Journal article Restricted
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dc.contributor.authorUlloa, P. A.
dc.contributor.authorGuerra, Rui Manuel Farinha das Neves
dc.contributor.authorCavaco, A. M.
dc.contributor.authorCosta, Ana M. Rosa da
dc.contributor.authorFigueira, A.C.
dc.contributor.authorFernandes, A.
dc.date.accessioned2016-01-07T14:23:58Z
dc.date.available2016-01-07T14:23:58Z
dc.date.issued2013
dc.description.abstractThe aim of this study was to discriminate four commercial brands of Portuguese honeys according to their botanical origin by sensor fusion of impedance electronic tongue (e-tongue) and optical spectroscopy (UV–Vis–NIR) assisted by Principal Component Analysis (PCA) and Cluster Analysis (CA). We have also introduced a new technique for variable selection through one-dimensional clustering which proved very useful for data fusion. The results were referenced against standard sample identification by classical melissopalynology analysis. Individual analysis of each technique showed that the e-tongue clearly outperformed the optical techniques. The electronic and optical spectra were fitted to analytical models and the model coefficients were used as new variables for PCA and CA. This approach has improved honey classification by the e-tongue but not by the optical methods. Data from the three techniques was then considered simultaneously. Simple concatenation of all matrices did not improve the classification results. Multi-way PCA (MPCA) proved to be a good option for data fusion yielding 100% classification success. Finally, a variable selection method based on one-dimensional clustering was used to define two new approaches to sensor fusion, and both yielded sample clusters even better defined than using MPCA. In this work we demonstrate for the first time the feasibility of sensor fusion of electronic and optical spectroscopy data and propose a new variable selection method that improved significantly the classification of the samples through multivariate statistical analysis.pt_PT
dc.identifier.citationComput Electron Agr 94 (2013) 1–11pt_PT
dc.identifier.doihttp://dx.doi.org/ 10.1016/j.compag.2013.03.001pt_PT
dc.identifier.issn0168-1699
dc.identifier.otherAUT: RGU01166; ACA01304; AMC01695; AFI00040; ABR00608;
dc.identifier.urihttp://hdl.handle.net/10400.1/7396
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0168169913000513pt_PT
dc.subjectBotanical originpt_PT
dc.subjectHoneypt_PT
dc.subjectChemometricspt_PT
dc.subjectElectronic tonguept_PT
dc.subjectSensor fusionpt_PT
dc.subjectSpectroscopypt_PT
dc.titleDetermination of the botanical origin of honey by sensor fusion of impedance e-tongue and optical spectroscopypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage11pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleComputers and Electronics in Agriculturept_PT
oaire.citation.volume94pt_PT
person.familyNameUlloa
person.familyNameGuerra
person.familyNameCavaco Guerra
person.familyNameRosa da Costa
person.familyNameOliveira Lopes Figueira
person.givenNamePablo A
person.givenNameRui
person.givenNameAna Margarida
person.givenNameAna M
person.givenNameAna Cristina
person.identifierC-1285-2012
person.identifier305029
person.identifier.ciencia-id3D16-5067-D6BB
person.identifier.ciencia-idC91E-B434-E327
person.identifier.ciencia-idA418-A85E-5DB1
person.identifier.ciencia-idEF17-53B3-B05F
person.identifier.orcid0000-0002-7267-9505
person.identifier.orcid0000-0002-8642-5792
person.identifier.orcid0000-0003-2708-5991
person.identifier.orcid0000-0003-0225-9537
person.identifier.orcid0000-0002-9845-0127
person.identifier.ridE-2165-2012
person.identifier.ridA-1479-2013
person.identifier.scopus-author-id48661603100
person.identifier.scopus-author-id6602899707
person.identifier.scopus-author-id53986075100
person.identifier.scopus-author-id15842834500
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication77814d68-198a-47a7-9bbe-2da5ba89bd63
relation.isAuthorOfPublicationeff7071e-e676-465b-bae3-983f522acd98
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relation.isAuthorOfPublicationd2d016e8-d8e1-4d65-b3d7-bfcb56068ae3
relation.isAuthorOfPublication.latestForDiscovery77814d68-198a-47a7-9bbe-2da5ba89bd63

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