Pregled bibliografske jedinice broj: 1150664
The Effect of Micromixer Geometry on the Diameters of Emulsion Droplets: NIR Spectroscopy and Artificial Neural Networks Modeling
The Effect of Micromixer Geometry on the Diameters of Emulsion Droplets: NIR Spectroscopy and Artificial Neural Networks Modeling // Engineering Proceedings- Proceedings of The 1st International Conference on Micromachines and Applications) / Stiharu, Ion (ur.).
Basel: MDPI Books, 2021. str. 26-26 doi:10.3390/Micromachines2021-09658 (poster, međunarodna recenzija, sažetak, znanstveni)
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Naslov
The Effect of Micromixer Geometry on the Diameters of Emulsion Droplets: NIR Spectroscopy and Artificial Neural Networks Modeling
Autori
Jurina, Tamara ; Čulo, Ivana ; Benković, Maja ; Gajdoš Kljusurić, Jasenka ; Valinger, Davor ; Jurinjak Tušek, Ana
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Engineering Proceedings- Proceedings of The 1st International Conference on Micromachines and Applications)
/ Stiharu, Ion - Basel : MDPI Books, 2021, 26-26
Skup
1st International Conference on Micromachines and Applications (ICMA 2021)
Mjesto i datum
Basel, Švicarska; online, 15.04.2021. - 30.04.2021
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
micromixer geometry ; average feret diameter ; oil in water emulsions ; artificial neural network models ; NIR spectra
Sažetak
In this work, teardrop micromixer and swirl micromixer were used for preparation of oil- in-water (O/W) emulsions with Tween 20 and PEG 2000 as emulsifiers (concentrations: 2% and 4%) at different total flow rates (20–280 μL/min). Stability of the prepared O/W emulsions was evaluated based on the droplet size of the dispersed phase. For determination of the droplet size, the average Feret diameter was used. Furthermore, near infrared (NIR) spectra of all prepared samples were collected. Obtained results showed that the change in the droplet size followed the same trend for both micromixers used in the experiment. At higher total flow rates, emulsification resulted in smaller values of the average Feret diameter. Values of the average Feret diameter were higher for emulsions prepared in the swirl micromixer, compared to the teardrop micromixer. Artificial Neural Network (ANNs) models, based on the recorded NIR spectra of emulsions, were developed to predict the droplet size of the dispersed phase. The obtained ANN models have high values of R2 for training, test, and validation, with small error values and show that NIR spectroscopy, in combination with ANNs, could be efficiently used for evaluation of the stability of oil-in-water emulsions.
Izvorni jezik
Engleski
Znanstvena područja
Biotehnologija
POVEZANOST RADA
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb
Profili:
Maja Benković
(autor)
Tamara Jurina
(autor)
Ana Jurinjak Tušek
(autor)
Davor Valinger
(autor)
Jasenka Gajdoš Kljusurić
(autor)