Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/6346
DC FieldValueLanguage
dc.contributor.authorPopović, Slađanaen_US
dc.contributor.authorPantelić, Anaen_US
dc.contributor.authorMilovanović, Željkaen_US
dc.contributor.authorMilinkov, Jelenaen_US
dc.contributor.authorVidović, Milkaen_US
dc.date.accessioned2023-10-18T09:21:04Z-
dc.date.available2023-10-18T09:21:04Z-
dc.date.issued2017-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/6346-
dc.description.abstractThe concentrations of iron, zinc, manganese, copper, chromium, nickel, lead, arsenic, and cadmium were determined using flame and graphite furnace atomic absorption spectrometry in nine herbal tea samples. Hawthorn, yarrow, elderflower, and bearberry are herbal teas for which the metal content has been rarely determined. The concentration of cadmium in St John’s wort exceeded the maximum permissible limit of 0.3 mg/kg. The metals were also determined in aqueous extracts following 5, 10, and 20 min of boiling and using different preparations, including acidification with lemon juice. The influence of these factors on metal release was demonstrated using multivariate analyses by redundancy analysis and principal component analysis. The metal release was not considerably affected by the boiling time, while the acidity of the medium was generally positively correlated. For the infusions, arsenic was detected only in acidified mint tea. The extraction efficiencies of metals were determined and classified as highly, moderately, and poorly extractable, with chromium showing largest variations.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltden_US
dc.relation.ispartofAnalytical Lettersen_US
dc.subjectFlame atomic absorption spectrometry;en_US
dc.subjectGraphite furnace atomic absorption spectrometry;en_US
dc.subjectHerbal teaprincipal component analysis;en_US
dc.subjectRedundancy analysis.en_US
dc.titleAnalysis of Tea for Metals by Flame and Graphite Furnace Atomic Absorption Spectrometry with Multivariate Analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00032719.2017.1307849-
dc.description.rankM23en_US
dc.description.impact2.267en_US
dc.description.startpage2619en_US
dc.description.endpage2633en_US
dc.relation.issn0003-2719en_US
dc.description.volume50en_US
dc.description.issue16en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0001-7112-5853-
Appears in Collections:Journal Article
Show simple item record

SCOPUSTM   
Citations

12
checked on May 22, 2024

Page view(s)

12
checked on May 29, 2024

Google ScholarTM

Check

Altmetric

Altmetric


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