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Pregled bibliografske jedinice broj: 976507

1H NMR adulteration study of hempseed oil with full chemometric approach on large variable data


Jović, Ozren; Pičuljan, Katarina; Hrenar, Tomica; Smolić, Tomislav; Primožič, Ines
1H NMR adulteration study of hempseed oil with full chemometric approach on large variable data // Chemometrics and intelligent laboratory systems, 185 (2019), 41-46 doi:10.1016/j.chemolab.2018.12.012 (međunarodna recenzija, članak, znanstveni)


Naslov
1H NMR adulteration study of hempseed oil with full chemometric approach on large variable data

Autori
Jović, Ozren ; Pičuljan, Katarina ; Hrenar, Tomica ; Smolić, Tomislav ; Primožič, Ines

Izvornik
Chemometrics and intelligent laboratory systems (0169-7439) 185 (2019); 41-46

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

Ključne riječi
1H NMR ; Regression ; Hempseed oil ; Adulteration

Sažetak
Adulteration of hempseed (H) oil, a well known health beneficial nutrient, is studied in this work by means of 1H NMR spectroscopy. H oil samples were mixed with cheap and widely used oils such as rapeseed (R) oil and sezame (Se) and sunflower (Su) oil. Many samples of different geographic origins were taken into account. Binary mixture sets of hempseed oil with these three oils (HR, HSe and HSu) were considered. 1H NMR spectra of pure oils and their mixtures were recorded and quantitative analyses were performed using Partial Least Squares Regression (PLS), First-Break Forward Interval PLS methods (FB-FiPLS) and Interval Ridge Regression (iRR). The obtained results show that each particular oil can be very successfully quantified (RMSEP 1.4-3.0%), and that NMR coupled with iRR has a great potential in studying signals of low intensity belonging to oil microconstituents. This means that 1H NMR spectroscopy coupled with multivariate methods can rapidly and effectively determine both the fatty acid profile and the level of adulteration in the adulterated hempseed oil for these studied and frequently used adulterant oils.

Izvorni jezik
Engleski

Znanstvena područja
Kemija



POVEZANOST RADA


Ustanove
Prirodoslovno-matematički fakultet, Zagreb

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


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