Near-Infrared Spectroscopy Coupled with Chemometrics and Artificial Neural Network Modeling for Prediction of Emulsion Droplet Diameters

Near-Infrared Spectroscopy Coupled with Chemometrics and Artificial Neural Network Modeling for Prediction of Emulsion Droplet Diameters

There is increased interest in the food industry for emulsions as delivery systems to preserve the stability of sensitive biocompounds with the aim of improving their bioavailability, solubility, and stability; maintaining their texture; and controlling their release. Emulsification in continuously...

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Bibliographic Details
Main Authors: Filip Grgić, Tamara Jurina, Davor Valinger, Jasenka Gajdoš Kljusurić, Ana Jurinjak Tušek, Maja Benković
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Micromachines
Subjects:
microfluidic emulsification
aqueous mint extract
NIR spectra
chemometrics
ANN modeling
Online Access:https://www.mdpi.com/2072-666X/13/11/1876

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