Naslov
Prediction of pH value of aqueous acidic and basic deep eutectic solvent using COSMO-RS σ profiles’ molecular descriptors

Autori
Panić, Manuela ; Radović, Mia ; Cvjetko Bubalo, Marina ; Radošević, Kristina ; Rogošić, Marko ; Coutinho, João A. P. ; Radojčić Redovniković, Ivana ; Jurinjak Tušek, Ana

Izvornik
Molecules (1420-3049) 27 (2022), 14; 4489, 14

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

Ključne riječi
artificial neural networks ; COSMO-RS ; deep eutectic solvents ; multiple linear regression ; piecewise linear regression

Sažetak
The aim of this work was to develop a simple and easy-to-apply model to predict the pH values of deep eutectic solvents (DESs) over a wide range of pH values that can be used in daily work. For this purpose, the pH values of 38 different DESs were measured (ranging from 0.36 to 9.31) and mathematically interpreted. To develop mathematical models, DESs were first numerically described using σ profiles generated with the COSMOtherm software. After the DESs’ description, the following models were used: (i) multiple linear regression (MLR), (ii) piecewise linear regression (PLR), and (iii) artificial neural networks (ANNs) to link the experimental values with the descriptors. Both PLR and ANN were found to be applicable to predict the pH values of DESs with a very high goodness of fit (R2independent validation > 0.8600). Due to the good mathematical correlation of the experimental and predicted values, the σ profile generated with COSMOtherm could be used as a DES molecular descriptor for the prediction of their pH values.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Biotehnologija

POVEZANOST RADA