Naslov
Application of NIRs coupled with PLS and ANN modelling to predict average droplet size in oil- in-water emulsions prepared with different microfluidic devices

Autori
Jurinjak Tušek, Ana ; Jurina, Tamara ; Čulo, Ivana ; Valinger, Davor ; Gajdoš Kljusurić, Jasenka ; Benković, Maja

Izvornik
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy (1386-1425) 270 (2022); 120860, 10

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

Ključne riječi
Microfluidic emulsification ; Average Feret diameter ; Near infrared spectroscopy ; Partial least squares regression ; Artificial neural network modelling

Sažetak
In this study, the potential of microfluidic systems with different microchannel geometries (microchannel with teardrop micromixers and microchannel with swirl micromixers) for the preparation of oil-in-water (O/W) emulsions using two different emulsifiers (2% and 4% Tween 20 and 2% and 4% PEG 2000) at total flow rates of 20-280 L/min was investigated. The results showed that droplets with a smaller average Feret diameter were obtained when a microfluidic device with tear drop micromixers was used. To predict the average Feret diameter of O/W emulsion droplets, near- infrared (NIR) spectra of all prepared emulsions were collected and coupled with partial least squares (PLS) regression and artificial neural network modelling (ANN). The results showed that PLS models based on NIR spectra can ensure acceptable qualitative prediction, while highly non-linear ANN models are more suitable for predicting the average Feret diameter of O/W droplets. High R2 values (R2validation > 0.8) confirm that ANNs can be used to monitor the emulsification process.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija, Prehrambena tehnologija

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