Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/6928
DC FieldValueLanguage
dc.contributor.authorJović, Markoen_US
dc.contributor.authorRistivojević, Petaren_US
dc.contributor.authorŽivković-Radovanović, Vukosavaen_US
dc.contributor.authorAndrić, Filipen_US
dc.contributor.authorDimkić, Ivicaen_US
dc.contributor.authorMilojković-Opsenica, Dušankaen_US
dc.contributor.authorTrifković, Jelenaen_US
dc.date.accessioned2023-12-06T08:39:36Z-
dc.date.available2023-12-06T08:39:36Z-
dc.date.issued2023-
dc.identifier.issn0933-4173-
dc.identifier.issn1789-0993-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/6928-
dc.description.abstractQuality assessment is the most important step in the production of effective and safe food supplements. The aim of this study is to develop a green, simple, and high-throughput procedure for the quality assessment of Origanum vulgare L. commercial products using high-performance thin-layer chromatography (HPTLC)/bioautography with a multicriteria decision method, sum of ranking differences (SRD). Direct bioautography assays were developed for the identification of constituents with antibacterial activity tested against Gram-positive (Bacillus subtilis, Micrococcus lysodeikticus) and Gram-negative (Escherichia coli) strains, antioxidative (DPPH) activity, and enzyme (α-amylase) activity. Combination of the leave-one-out cross-validation methodology of SRD values and significant differences by post hoc Wilcoxon matched pairs test were used to evaluate commercial varieties. It was proved that suggested bioautography/chemometric screening methodology could be used as guidelines for the selection of any theoretical ideal product. Analysts may have benefits from this time-saving and streamlined quality profiling.en_US
dc.publisherSpringerLinken_US
dc.relation.ispartofJPC – Journal of Planar Chromatography – Modern TLCen_US
dc.subjectBioautography;en_US
dc.subjectCommercial products;en_US
dc.subjectGreen planar chromatography;en_US
dc.subjectQuality assessment;en_US
dc.subjectSum of ranking difference.en_US
dc.titleStatistical analysis-based green planar chromatographic methodology for the quality assessment of food supplements: a case study on Origanum vulgare L. commercial productsen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00764-023-00261-0-
dc.description.rankM23en_US
dc.description.impact1.6en_US
dc.relation.issn0933-4173en_US
item.cerifentitytypePublications-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptChair of Biochemistry and Molecular Biology-
crisitem.author.orcid0000-0002-0425-5938-
Appears in Collections:Journal Article
Show simple item record

SCOPUSTM   
Citations

1
checked on Nov 1, 2024

Page view(s)

7
checked on Nov 5, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.