Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 647375

Classification of Croatian wine varieties using multivariate analysis of data obtained by high resolution ICP-MS analysis


Kruzlicova, Dasa; Fiket, Željka; Kniewald, Goran
Classification of Croatian wine varieties using multivariate analysis of data obtained by high resolution ICP-MS analysis // Food research international, 54 (2013), 1; 621-626 doi:10.1016/j.foodres.2013.07.053 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 647375 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Classification of Croatian wine varieties using multivariate analysis of data obtained by high resolution ICP-MS analysis

Autori
Kruzlicova, Dasa ; Fiket, Željka ; Kniewald, Goran

Izvornik
Food research international (0963-9969) 54 (2013), 1; 621-626

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
wine; trace element; ICP-MS; chemometrical classification

Sažetak
The main outcome of this work is an elaboration of classification models for seventy-five wine samples representing the most widespread brands of Croatian wines. Analytical measurements are performed by mass spectrometry with inductively coupled plasma, allowing the determination of individual elements. Nine wine varieties originated fromthreeCroatianviticulture regions and thirty-one chemical descriptors (element concen-trations of contained elements) are used for their characterization. Differentwine categories are characterizedby chemometrical techniques, mainlybyprincipal component analysis, cluster analysis, linear discriminant analysis, andanalysisof variance. Their role is todiscover theelements important for distinct characterizationof individual wine categories as well as to assess the possibility of wine samples from different countries being recognized from the increased/decreased content of some elements.

Izvorni jezik
Engleski

Znanstvena područja
Geologija



POVEZANOST RADA


Projekti:
098-0982934-2715 - Biogeokemija metala u sedimentacijskim sustavima i tlima Hrvatske (Kniewald, Goran, MZOS ) ( POIROT)

Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Željka Fiket (autor)

Avatar Url Goran Kniewald (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com ac.els-cdn.com

Citiraj ovu publikaciju:

Kruzlicova, Dasa; Fiket, Željka; Kniewald, Goran
Classification of Croatian wine varieties using multivariate analysis of data obtained by high resolution ICP-MS analysis // Food research international, 54 (2013), 1; 621-626 doi:10.1016/j.foodres.2013.07.053 (međunarodna recenzija, članak, znanstveni)
Kruzlicova, D., Fiket, Ž. & Kniewald, G. (2013) Classification of Croatian wine varieties using multivariate analysis of data obtained by high resolution ICP-MS analysis. Food research international, 54 (1), 621-626 doi:10.1016/j.foodres.2013.07.053.
@article{article, author = {Kruzlicova, Dasa and Fiket, \v{Z}eljka and Kniewald, Goran}, year = {2013}, pages = {621-626}, DOI = {10.1016/j.foodres.2013.07.053}, keywords = {wine, trace element, ICP-MS, chemometrical classification}, journal = {Food research international}, doi = {10.1016/j.foodres.2013.07.053}, volume = {54}, number = {1}, issn = {0963-9969}, title = {Classification of Croatian wine varieties using multivariate analysis of data obtained by high resolution ICP-MS analysis}, keyword = {wine, trace element, ICP-MS, chemometrical classification} }
@article{article, author = {Kruzlicova, Dasa and Fiket, \v{Z}eljka and Kniewald, Goran}, year = {2013}, pages = {621-626}, DOI = {10.1016/j.foodres.2013.07.053}, keywords = {wine, trace element, ICP-MS, chemometrical classification}, journal = {Food research international}, doi = {10.1016/j.foodres.2013.07.053}, volume = {54}, number = {1}, issn = {0963-9969}, title = {Classification of Croatian wine varieties using multivariate analysis of data obtained by high resolution ICP-MS analysis}, keyword = {wine, trace element, ICP-MS, chemometrical classification} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font