Pregled bibliografske jedinice broj: 1253514
Mathematical modelling of avocado waste drying
Mathematical modelling of avocado waste drying // The 4th International Congress on “Green Extraction of Natural Products” (GENP2022) / Karlović, Sven ; Dujmić, Filip ; Ninčević Grassino, Antonela (ur.).
Poreč, Hrvatska, 2022. str. 86-86 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1253514 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Mathematical modelling of avocado waste drying
Autori
Karlović, Sven ; Dujmić, Filip ; Ježek, Damir ; Škegro, Marko ; Badanjak Sabolović, Marija ; Brnčić, Mladen
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
The 4th International Congress on “Green Extraction of Natural Products” (GENP2022)
/ Karlović, Sven ; Dujmić, Filip ; Ninčević Grassino, Antonela - , 2022, 86-86
ISBN
978-953-6893-16-4
Skup
4th International Congress on Green Extraction of Natural Products (GENP2022)
Mjesto i datum
Poreč, Hrvatska, 27.10.2022. - 28.10.2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
modelling, avocado, waste, drying
Sažetak
By-products such as seeds and peels are currently considered a waste in the industrial processing of avocados. Such material is rich in phenolic compounds which can be further exploited for obtaining new high-value products. Drying milled seeds and peels is an excellent method for prolonging the shelf life of those by-products, while simultaneously minimizing the loss of antioxidants and other nutritionally important compounds. The avocado mix (peels and seeds) was dried using a convective dryer at temperatures of 50, 60, and 70 oC and airflow of 1 ms-1. Optimization of the drying process is performed, and mathematical models of drying were obtained. Based on the ratio of dimensionless moisture number and drying time, 5 mathematical drying models were tested. Correlation of drying parameters and model coefficients was analysed using non-linear regression modelling in Statistica software. Obtained RMSE and other statistical parameters were used to determine the goodness of fit. The best quality of fit was obtained using Page and Midilli-Kucuk models with R2 > 0.95. and Analysis of data shows a direct correlation of temperature to drying time, with 60 °C independently of mix ratio and airflow, and that those two models were optimal for prediction of the performance of avocado peels and seeds drying and optimization of intrinsic variables such as drying temperature and air velocity.
Izvorni jezik
Engleski
Znanstvena područja
Biotehnologija, Prehrambena tehnologija
POVEZANOST RADA
Projekti:
IP-2019-04-9750 - Hibridno sušenje i valorizacija biljnog prehrambenog otpada i nusproizvoda (HYDRYBY) (Brnčić, Mladen, HRZZ - 2019-04) ( CroRIS)
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb
Profili:
Mladen Brnčić
(autor)
Filip Dujmić
(autor)
Damir Ježek
(autor)
Marko Škegro
(autor)
Marija Badanjak Sabolović
(autor)
Sven Karlović
(autor)