{Reference Type}: Journal Article
{Title}: Statistical physical modeling insights for urinary analgesic drug adsorption on carbon nanomaterial derivative.
{Author}: da Silva Bruckmann F;Fuhr ACFP;Pinheiro RF;Knani S;Alruwaili A;Pinto D;Silva LFO;Dotto GL;
{Journal}: Environ Sci Pollut Res Int
{Volume}: 0
{Issue}: 0
{Year}: 2024 Jun 29
{Factor}: 5.19
{DOI}: 10.1007/s11356-024-34115-x
{Abstract}: The presence of phenazopyridine in water is an environmental problem that can cause damage to human health and the environment. However, few studies have reported the adsorption of this emerging contaminant from aqueous matrices. Furthermore, existing research explored only conventional modeling to describe the adsorption phenomenon without understanding the behavior at the molecular level. Herein, the statistical physical modeling of phenazopyridine adsorption into graphene oxide is reported. Steric, energetic, and thermodynamic interpretations were used to describe the phenomenon that controls drug adsorption. The equilibrium data were fitted by mono, double, and multi-layer models, considering factors such as the numbers of phenazopyridine molecules by adsorption sites, density of receptor sites, and half saturation concentration. Furthermore, the statistical physical approach also calculated the thermodynamic parameters (free enthalpy, internal energy, Gibbs free energy, and entropy). The maximum adsorption capacity at the equilibrium was reached at 298 K (510.94 mg g-1). The results showed the physical meaning of adsorption, indicating that the adsorption occurs in multiple layers. The temperature affected the density of receptor sites and half saturation concentration. At the same time, the adsorbed species assumes different positions on the adsorbent surface as a function of the increase in the temperature. Meanwhile, the thermodynamic functions revealed increased entropy with the temperature and the equilibrium concentration.