Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/56420

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dc.contributor.authorCastro, C. C.por
dc.contributor.authorSilva, João S.por
dc.contributor.authorLopes, V. V.por
dc.contributor.authorMartins, R.por
dc.date.accessioned2018-10-20T18:48:32Z-
dc.date.available2018-10-20T18:48:32Z-
dc.date.issued2009-
dc.identifier.citationCastro, C. C.; Silva, João S.; Lopes, V. V.; Martins, R., Yeast metabolic state identification by fiber optics spectroscopy. BIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing. Porto, Portugal, Jan 14-17, 169-178, 2009. ISBN: 978-989-8111-65-4por
dc.identifier.isbn978-989-8111-65-4por
dc.identifier.urihttps://hdl.handle.net/1822/56420-
dc.description.abstractIn this manuscript we explore the feasibility of using LWUV-VIS-SWNIR (340 - 1100 nm) spectroscopy to classify Saccharomyces cerevisiae colony structures in YP agar and YPD agar, under different growth conditions, such as: i) no alcohol; ii) 1 % (v/v) Ethanol; iii) 1 % (v/v) 1-Propanol; iv) 1 % (v/v) 1- butanol; v) 1 % (v/v) Isopropanol; vi) 1 % (v/v) (±)-1-Phenylethanol; vii) 1 % (v/v) Isoamyl alcohol; viii) 1 % (v/v) tert-Amyl alcohol (2-Methyl-2-butanol); and ix) 1 % (v/v) Amyl alcohol. Results show that LWUV-VISSWNIR spectroscopy has the potential for yeasts metabolic state identification once the spectral signatures of colonies differs from each others, being possible to acheive 100% of classification in UV-VIS and VISSWNIR. The UV-VIS region present high discriminant information (350-450 nm), and different responses to UV excitation were obtained. Therefore, high precision is obtained because UV-VIS and VIS-NIR exhibit different kinds of information. In the future, high precisio n analytical chemistry techniques such as mass spectroscopy and molecular biology transcriptomic studies should be performed in order to understand the detailed cell metabolism and genomic phenomena that characterize the yeast colony state.por
dc.description.sponsorshipPart of this work was supported by the project OpenMicroBio (PTDC/BIO/69310/2006) - ’A Framework for Computational Simulation of Cellular Communities during BioProcess Engineering’; and partially supported by CBMA, IBB/CEB and ISR/IST plurianual funds through the POS-Conhecimento Program that includes FEDER funds.por
dc.language.isoengpor
dc.publisherInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/69310/PTpor
dc.rightsopenAccesspor
dc.subjectSaccharomyces cerevisiaepor
dc.subjectMorphologypor
dc.subjectLWUV-VIS-SWNIR reflectance spectroscopypor
dc.subjectSingular value decompositionpor
dc.subjectClassificationpor
dc.titleYeast metabolic state identification by fiber optics spectroscopypor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.commentsCEB3019por
sdum.event.typeconferencepor
oaire.citationStartPage169por
oaire.citationEndPage178por
oaire.citationConferencePlacePorto, Portugalpor
dc.date.updated2018-10-19T19:46:27Z-
dc.identifier.doi10.5220/0001551201690178por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technologypor
sdum.conferencePublicationBIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processingpor
sdum.bookTitleBIOSIGNALS 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSINGpor
Aparece nas coleções:CEB - Artigos em Livros de Atas / Papers in Proceedings

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