Toward food analytics: fast estimation of lycopene and β-carotene content in tomatoes based on surface enhanced Raman spectroscopy (SERS)

dc.bibliographicCitation.firstPage4447eng
dc.bibliographicCitation.issue14eng
dc.bibliographicCitation.journalTitleThe analyst : the analytical journal of the Royal Society of Chemistryeng
dc.bibliographicCitation.lastPage4455eng
dc.bibliographicCitation.volume141eng
dc.contributor.authorRadu, Andreea Ioana
dc.contributor.authorRyabchykov, Oleg
dc.contributor.authorBocklitz, Thomas Wilhelm
dc.contributor.authorHuebner, Uwe
dc.contributor.authorWeber, Karina
dc.contributor.authorCialla-May, Dana
dc.contributor.authorPopp, Jürgen
dc.date.accessioned2022-05-04T05:49:10Z
dc.date.available2022-05-04T05:49:10Z
dc.date.issued2016
dc.description.abstractCarotenoids are molecules that play important roles in both plant development and in the well-being of mammalian organisms. Therefore, various studies have been performed to characterize carotenoids’ properties, distribution in nature and their health benefits upon ingestion. Nevertheless, there is a gap regarding a fast detection of them at the plant phase. Within this contribution we report the results obtained regarding the application of surface enhanced Raman spectroscopy (SERS) toward the differentiation of two carotenoid molecules (namely, lycopene and β-carotene) in tomato samples. To this end, an e-beam lithography (EBL) SERS-active substrate and a 488 nm excitation source were employed, and a relevant simulated matrix was prepared (by mixing the two carotenoids in defined percentages) and measured. Next, carotenoids were extracted from tomato plants and measured as well. Finally, a combination of principal component analysis and partial least squares regression (PCA-PLSR) was applied to process the data, and the obtained results were compared with HPLC measurements of the same extracts. A good agreement was obtained between the HPLC and the SERS results for most of the tomato samples.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/8834
dc.identifier.urihttps://doi.org/10.34657/7872
dc.language.isoengeng
dc.publisherCambridge : Soc.eng
dc.relation.doihttps://doi.org/10.1039/c6an00390g
dc.relation.essn1364-5528
dc.rights.licenseCC BY-NC 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/eng
dc.subject.ddc540eng
dc.subject.otherbeta caroteneeng
dc.subject.othercarotenoideng
dc.subject.otherlycopeneeng
dc.subject.otherchemistryeng
dc.subject.otherfood analysiseng
dc.subject.otherprocedureseng
dc.subject.otherRaman spectrometryeng
dc.subject.othertomatoeng
dc.subject.otherbeta Caroteneeng
dc.subject.otherCarotenoidseng
dc.subject.otherFood Analysiseng
dc.subject.otherLycopersicon esculentumeng
dc.subject.otherSpectrum Analysis, Ramaneng
dc.titleToward food analytics: fast estimation of lycopene and β-carotene content in tomatoes based on surface enhanced Raman spectroscopy (SERS)eng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorIPHTeng
wgl.subjectChemieeng
wgl.typeZeitschriftenartikeleng
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