Pregled bibliografske jedinice broj: 1254564
Elemental Profiling of Herbal Dietary Supplements by ICP-MS method: classification by multivariate statistical tools
Elemental Profiling of Herbal Dietary Supplements by ICP-MS method: classification by multivariate statistical tools // Book of abstracts of the 19th European Winter Conference on Plasma Spectrochemistry / Šelih, Vid Simon ; Šala, Martin (ur.).
Ljubljana: National Institute of Chemistry Ljubljana, 2023. str. 214-214 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1254564 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Elemental Profiling of Herbal Dietary Supplements
by ICP-MS method: classification by multivariate
statistical tools
Autori
Nemet, Ivan ; Benutić, Anica ; Marciuš, Bernardo ; Rončević, Sanda
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of abstracts of the 19th European Winter Conference on Plasma Spectrochemistry
/ Šelih, Vid Simon ; Šala, Martin - Ljubljana : National Institute of Chemistry Ljubljana, 2023, 214-214
ISBN
978-961-6104-85-2
Skup
European Winter Conference on Plasma Spectrochemistry
Mjesto i datum
Ljubljana, Slovenija, 29.01.2023. - 03.02.2023
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
herbal dietary supplements, ICP-MS, elemental profiling, multivariate statistics
Sažetak
Herbal supplements, which can be produced in the form of capsules, powdered pills, liquids and oils, contain a complex matrix. The plasma-based techniques (ICP-OES, ICP-MS) allow multi-elemental throughput in a variety of sample matrices. They are capable of collecting large sets of elemental composition data, which enables the construction of a large database for sample profiling. The aim of this study is to determine elemental profiles of different formulations of representative herbal supplements from Croatian market. The contents of twenty-four elements in eighty-seven samples of different herbal dietary supplements were determined. The elements Co, Fe, Na, Se, Tl, and Zn were established as the marker elements. Multivariate PCA analysis showed the successful discrimination of Se and Zn-enriched supplements. Recognition of similarities in sub- clusters of samples was achieved by hierarchical cluster analysis. It allowed visualization of the exceptional elemental profile of several mixed-herb supplements. Distinctive features of herbal dietary supplements with peculiar influences of botanical, environmental and/or production conditions on their elemental profile were highlighted.
Izvorni jezik
Engleski
Znanstvena područja
Kemija
POVEZANOST RADA
Ustanove:
Hrvatski zavod za javno zdravstvo,
Prirodoslovno-matematički fakultet, Zagreb
