This study shows that ceramic beads, which are often used as adsorbents in wastewater treatment, can adsorb a wide range of

organic micropollutants in both ionic and non-ionic forms, and the adsorption properties can be characterized through experimental

studies and theoretical modeling. Actually, since there is a myriad type of chemicals, there is a limit to experimentally

investigating the adsorption properties of ceramic beads. Therefore, it is necessary to estimate the adsorption properties

experimentally, while a prediction model for the adsorption relationship between ceramic beads and chemicals is developed.

In this study, the adsorption properties of ceramic beads, as estimated by performing isotherms and fi tting Langmuir and

Freundlich models, were predicted using linear free energy relationship descriptors comprising in silico calculated descriptors.

In addition, the Langmuir model derives maximum uptake ( q m ) and adsorption affi nity ( b ), and the Freundlich model

estimates equilibrium constant ( K F ), meaning maximum uptake, and Freundlich exponent ( n ), as an indicator of adsorption

compatibility. The results demonstrated that ceramic beads can be considered a suitable type of adsorbent and have heterogeneous

adsorptions, as confi rmed by Freundlich fi tting. In the modeling study, it was checked that the employed linear

free energy relationship (LFER) model could not be used to predict the heterogeneous adsorption properties estimated by

the Freundlich model, while it could predict the homogeneous properties estimated by the Langmuir model. The developed

model could predict the q m in R 2 of 0.70 with a standard error of 0.22 log units and the adsorption affi nity (log b ) in R 2 of

0.71 with a standard error of 0.38 log units. These results will help predict the adsorption properties of unstudied micropollutants

on ceramic beads.