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Application of multidimensional and conventional fluorescence techniques for classification of beverages originating from various berry fruit

2020-01Journal article Open Access
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dc.contributor.authorSikorska, Ewa
dc.contributor.authorWlodarska, Katarzyna
dc.contributor.authorKhmelinskii, Igor
dc.date.accessioned2021-06-24T11:36:09Z
dc.date.available2021-06-24T11:36:09Z
dc.date.issued2020-01
dc.description.abstractThe objectives of this study were to characterize fluorescence of beverages from berry fruit, including chokeberry, blackcurrant, raspberry and strawberry, and to develop classification models based on different types of fluorescence spectra to identify beverages depending on the fruit species. Total fluorescence spectra (excitation-emission matrices, EEMs) and total synchronous fluorescence spectra (TSFS) were recorded for a series of commercial berry fruit beverages. An analysis of EEMs using parallel factor analysis (PARAFAC) revealed four components characterized by the excitation/emission maxima at 275/326, 319/410, 414/600, and 360/460 nm, respectively. Based on the spectral profiles, these components were assigned to various groups of phenolic compounds. Partial least squares discriminant analysis was used to develop the classification models. The analysis was performed on PARAFAC scores, unfolded EEMs (uEEMs), unfolded TSFS (uTSFS), and additionally on conventional emission spectra (EMS) measured at particular excitation wavelengths and single synchronous fluorescence spectra (SFS). The classification models with the same average classification error of 4.86% were obtained for the analysis of both the entire uEEMs and uTSFS. Among models based on the individual spectra, the lowest error of 4.42% was obtained for SFS measured at Delta lambda = 40 nm, and an error of 7.64% was obtained for EMS measured at the excitation wavelength of 360 nm. The classification model based on the PARAFAC scores had the highest error of 15.27%. The present results show good potential of fluorescence as rapid and reagent-free tool for authenticity evaluation of berry beverages.
dc.description.sponsorshipNational Science Centre, PolandNational Science Centre, Poland [2016/23/B/NZ9/03591]
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1088/2050-6120/ab6367
dc.identifier.issn2050-6120
dc.identifier.urihttp://hdl.handle.net/10400.1/16645
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIOP Publishing
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBerry fruit beverages
dc.subjectExcitation-emission matrix
dc.subjectSynchronous fluorescence
dc.subjectPARAFAC
dc.subjectPLS-DA
dc.subjectclassification
dc.titleApplication of multidimensional and conventional fluorescence techniques for classification of beverages originating from various berry fruit
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.startPage015006
oaire.citation.titleMethods and Applications in Fluorescence
oaire.citation.volume8
person.familyNameKhmelinskii
person.givenNameIgor
person.identifier0000000420541031
person.identifier.ciencia-id0D1A-CB6C-6316
person.identifier.orcid0000-0002-6116-184X
person.identifier.ridC-9587-2011
person.identifier.scopus-author-id6701444934
rcaap.rightsopenAccess
rcaap.typearticle
relation.isAuthorOfPublicationfcb9f09f-2e99-41fb-8c08-7e1acbc65076
relation.isAuthorOfPublication.latestForDiscoveryfcb9f09f-2e99-41fb-8c08-7e1acbc65076

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