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hal.structure.identifierDepartment of Analytical Chemistry, Faculty of Science and Technology
dc.contributor.authorLIÑERO, Olaia
hal.structure.identifierDepartment of Analytical Chemistry, Faculty of Science and Technology
dc.contributor.authorCIDAD, Maite
hal.structure.identifierDepartment of Analytical Chemistry, Faculty of Science and Technology
dc.contributor.authorARANA, Gorka
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorNGUYEN, Christophe
hal.structure.identifierDepartment of Analytical Chemistry, Faculty of Science and Technology
dc.contributor.authorDE DIEGO, Alberto
dc.date.accessioned2024-04-08T12:09:29Z
dc.date.available2024-04-08T12:09:29Z
dc.date.issued2017
dc.identifier.issn0026-265X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196579
dc.description.abstractEnThe measurement of colour has been frequently used as an alternative to chemical analysis in a wide range of applications. Colorimetry and spectrophotometry are the reference techniques nowadays to measure colour. Practical problems arise, however, when granular, powdery, rough, curved or non-regular surfaces are processed. A standard digital camera, in combination with image analysis, can be used as an inexpensive, portable, non-destructive and fast analytical tool to measure colour but, surprisingly, this approach has not been fully exploited up to date. In this work, we have used this technique to measure tomato colour at different ripening stages. Spectrophotometric analysis of the extracts of the tomatoes allowed us to record the characteristic spectrum of each sample and correlate them with the chromaticity parameters by non-linear regression analysis of the whole data set. The resulting mathematical model showed a high power to discriminate between tomatoes, and was further used to produce a relative scale from zero to ten that enabled us to sort naturally matured tomatoes according to their ripening stage. In addition, the proposed model also allowed a fast estimation of the lycopene content in the samples, avoiding long and tedious extraction procedures, with a significant saving of time and reagents.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by-sa/
dc.subjectanalyse d'image
dc.subjectcolorimétrie
dc.subjectspectrophotométrie
dc.subjecttomate
dc.subjectsolanum peruvianum
dc.subject.enripening stage
dc.subject.entomato
dc.subject.entomatoes (Solanum lycopersicum)
dc.subject.encolorimetry
dc.subject.ennon-linear regression analysis
dc.subject.enchromaticity parameters
dc.subject.encolour measurement
dc.subject.enimage analysis
dc.subject.enspectrophotometry
dc.title.enThe use of a standard digital camera as an inexpensive, portable, fast and non-destructive analytical tool to measure colour: Estimation of the ripening stage of tomatoes ( Solanum lycopersicum ) as a case study
dc.typeArticle de revue
dc.identifier.doi10.1016/j.microc.2017.06.017
dc.subject.halSciences du Vivant [q-bio]
bordeaux.journalMicrochemical Journal
bordeaux.page284-288
bordeaux.volume134
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-01607994
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01607994v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Microchemical%20Journal&rft.date=2017&rft.volume=134&rft.spage=284-288&rft.epage=284-288&rft.eissn=0026-265X&rft.issn=0026-265X&rft.au=LI%C3%91ERO,%20Olaia&CIDAD,%20Maite&ARANA,%20Gorka&NGUYEN,%20Christophe&DE%20DIEGO,%20Alberto&rft.genre=article


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