Mathematical evaluation of the amino acid and polyphenol content and antioxidant activities of fruits from different apricot cultivars

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dc.contributor.authorSochor, Jiřícs
dc.contributor.authorVítková, Helenacs
dc.contributor.authorBabula, Petrcs
dc.contributor.authorZítka, Ondřejcs
dc.contributor.authorCernei, Natalia Vladimirovnacs
dc.contributor.authorRop, Otakarcs
dc.contributor.authorKrška, Boriscs
dc.contributor.authorAdam, Vojtěchcs
dc.contributor.authorProvazník, Valentýnacs
dc.contributor.authorKizek, Renécs
dc.coverage.issue9cs
dc.coverage.volume16cs
dc.date.issued2011-09-01cs
dc.description.abstractFunctional foods are of interest because of their significant effects on human health, which can be connected with the presence of some biologically important compounds. In this study, we carried out complex analysis of 239 apricot cultivars (Prunus armeniaca L.) cultivated in Lednice (climatic area T4), South Moravia, Czech Republic. Almost all previously published studies have focused only on analysis of certain parameters. However, we focused on detection both primary and secondary metabolites in a selection of apricot cultivars with respect to their biological activity. The contents of thirteen biogenic alpha-L-amino acids (arginine, asparagine, isoleucine, lysine, serine, threonine, valine, leucine, phenylalanine, tryptophan, tyrosine, proline and alanine) were determined using ion exchange chromatography with UV-Vis spectrometry detection. Profile of polyphenols, measured as content of ten polyphenols with significant antioxidant properties (gallic acid, procatechinic acid, p-aminobenzoic acid, chlorogenic acid, caffeic acid, vanillin, p-coumaric acid, rutin, ferrulic acid and quercetrin), was determined by high performance liquid chromatography with spectrometric/electrochemical detection. Moreover, content of total phenolics was determined spectrophotometrically using the Folin-Ciocalteu method. Antioxidant activity was determined using five independent spectrophotometric methods: DPPH assay, DMPD method, ABTS method, FRAP and Free Radicals methods. Considering the complexity of the obtained data, they were processed and correlated using bioinformatics techniques (cluster analysis, principal component analysis). The studied apricot cultivars were clustered according to their common biochemical properties, which has not been done before. The observed similarities and differences were discussed.en
dc.description.abstractFunctional foods are of interest because of their significant effects on human health, which can be connected with the presence of some biologically important compounds. In this study, we carried out complex analysis of 239 apricot cultivars (Prunus armeniaca L.) cultivated in Lednice (climatic area T4), South Moravia, Czech Republic. Almost all previously published studies have focused only on analysis of certain parameters. However, we focused on detection both primary and secondary metabolites in a selection of apricot cultivars with respect to their biological activity. The contents of thirteen biogenic alpha-L-amino acids (arginine, asparagine, isoleucine, lysine, serine, threonine, valine, leucine, phenylalanine, tryptophan, tyrosine, proline and alanine) were determined using ion exchange chromatography with UV-Vis spectrometry detection. Profile of polyphenols, measured as content of ten polyphenols with significant antioxidant properties (gallic acid, procatechinic acid, p-aminobenzoic acid, chlorogenic acid, caffeic acid, vanillin, p-coumaric acid, rutin, ferrulic acid and quercetrin), was determined by high performance liquid chromatography with spectrometric/electrochemical detection. Moreover, content of total phenolics was determined spectrophotometrically using the Folin-Ciocalteu method. Antioxidant activity was determined using five independent spectrophotometric methods: DPPH assay, DMPD method, ABTS method, FRAP and Free Radicals methods. Considering the complexity of the obtained data, they were processed and correlated using bioinformatics techniques (cluster analysis, principal component analysis). The studied apricot cultivars were clustered according to their common biochemical properties, which has not been done before. The observed similarities and differences were discussed.en
dc.formattextcs
dc.format.extent7428-7457cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationMOLECULES. 2011, vol. 16, issue 9, p. 7428-7457.en
dc.identifier.doi10.3390/molecules16097428cs
dc.identifier.issn1420-3049cs
dc.identifier.orcid0000-0003-4562-2746cs
dc.identifier.orcid0000-0001-8529-552Xcs
dc.identifier.orcid0000-0001-7607-5058cs
dc.identifier.orcid0000-0002-8259-1566cs
dc.identifier.orcid0000-0002-8527-286Xcs
dc.identifier.orcid0000-0002-3422-7938cs
dc.identifier.other73021cs
dc.identifier.researcheridD-5194-2014cs
dc.identifier.researcheridE11072012cs
dc.identifier.researcheridK-2578-2016cs
dc.identifier.researcheridD-7686-2012cs
dc.identifier.researcheridF-4121-2012cs
dc.identifier.scopus36521691000cs
dc.identifier.scopus14012648400cs
dc.identifier.scopus37080103000cs
dc.identifier.scopus6701729526cs
dc.identifier.urihttp://hdl.handle.net/11012/137235
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofMOLECULEScs
dc.relation.urihttps://www.mdpi.com/1420-3049/16/9/7428cs
dc.rightsCreative Commons Attribution 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1420-3049/cs
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/cs
dc.subjectapricoten
dc.subjectamino acidsen
dc.subjectpolyphenolicsen
dc.subjectantioxidant activityen
dc.subjectstatistical analysisen
dc.subjectapricot
dc.subjectamino acids
dc.subjectpolyphenolics
dc.subjectantioxidant activity
dc.subjectstatistical analysis
dc.titleMathematical evaluation of the amino acid and polyphenol content and antioxidant activities of fruits from different apricot cultivarsen
dc.title.alternativeMathematical evaluation of the amino acid and polyphenol content and antioxidant activities of fruits from different apricot cultivarsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-73021en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:08:53en
sync.item.modts2025.10.14 09:50:21en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Chytré nanonástrojecs
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