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  1. Pubblicazioni

Commercial hemp seed oils: A multimethodological characterization

Articolo
Data di Pubblicazione:
2020
Abstract:
Nine commercial hemp seed oils from different countries were studied using a multimethodological approach to obtain information about their quality and chemical composition. Due to the lack of a specific regulation for hemp seed oils, quality parameters used in the case of olive oils (free acidity, peroxides number, spectrophotometer parameters) and anisidine number were measured and compared with those reported for extra virgin olive oil (EVOO). Free acidity and peroxides number showed a great variability, ranging from 0.4 to 17.24% and from 4.32 to 22.14 meqO2 /kg, respectively, whereas the anisidine number ranged from 0.11 to 3.58. K232 value turned out to be generally below the limit reported for EVOO, whereas K270 and ∆K values were higher, with respect to EVOO limits, due to the high amount of tri-unsaturated fatty chains. Colorimetric analysis showed a peculiar curve trend that could represent the fingerprint of this product. Untargeted nuclear magnetic resonance methodology allowed to measure the amount of fatty chains, ω-6:ω-3 ratio, β-sitosterol, and aldehydes. The ω-6:ω-3 ratio turned out to be, in some cases, different from that reported on the bottle labels. Finally, lipoperoxidation assays were also carried out under different storage (light and temperature) and time exposure conditions, confirming that the exposure to direct light is the condition that interferes more with the product quality.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Colorimetric analysis; Hemp seed oil; Lipoperoxidation; NMR; Quality parameters
Elenco autori:
Spano, M.; Di Matteo, G.; Rapa, M.; Ciano, S.; Ingallina, C.; Cesa, S.; Menghini, L.; Carradori, S.; Giusti, A. M.; Di Sotto, A.; Di Giacomo, S.; Sobolev, A. P.; Vinci, G.; Mannina, L.
Autori di Ateneo:
CARRADORI SIMONE
MENGHINI LUIGI
Link alla scheda completa:
https://ricerca.unich.it/handle/11564/734993
Link al Full Text:
https://ricerca.unich.it//retrieve/handle/11564/734993/222514/applsci-10-06933.pdf
Pubblicato in:
APPLIED SCIENCES
Journal
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URL

https://www.mdpi.com/2076-3417/10/19/6933
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