Pregled bibliografske jedinice broj: 1169915
Management and valorization of agricultural wastes from wine production using statistical analysis to obtain novel food
Management and valorization of agricultural wastes from wine production using statistical analysis to obtain novel food // Scientific papers. Series management, economic, engineering in agriculture and rural development, 21 (2021), 4; 381-386 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1169915 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Management and valorization of agricultural wastes
from wine production using statistical analysis to
obtain novel food
Autori
Nakov, Gjore ; Zlatev, Zlatin ; Lazova-Borisova, Iliana ; Lukinac, Jasmina
Izvornik
Scientific papers. Series management, economic, engineering in agriculture and rural development (2284-7995) 21
(2021), 4;
381-386
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
management of agriculture ; by-products ; novel foods ; statistical analysis
Sažetak
Proper management and valorization of waste from wine production is an important and difficult issue for winemakers. This type of waste contains valuable biologically active substances (dietary fiber, fats, polyphenols, etc.). With proper treatment, this waste can be used to produce new functional foods. The aim of the article is to determine the exact amount of grape pomace powder (GPP) in cakes using statistical data processing using the "Correspondence Analysis" method and using an initial model (second-order polynomial). Determination coefficient (R2), model coefficients, their standard error (SE), t- statistics (tStat), p- value, Fisher's criterion (F) are determined. An analysis of the residuals is made, which are determined by the difference between the values of the model and the actually measured ones. Stat Soft Statistica 12 (Stat Soft Inc.) software was used to create these models. The determined values are: coefficient of determination R2=0.89-0.92 ; F (2.47) <Fcritical ; SE=0.01-0.09, models describing the indicated dependences were obtained. Using the applied linear programming algorithm, it is determined that the optimal amount of GPP=4.72%.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija), Prehrambena tehnologija, Nutricionizam
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)