Non-Linear Regression Analysis for Removal of Bisphenol A from Aqueous Solution Using Graphene Oxide-Layered Bismuth Telluride.

This study reports on the synthesis of graphene oxide layered bismuth telluride and grafted by 4-aminobenzoic acid, as a novel nanoadsorbent, and its potential for removal of bisphenol A. The nanoadsorbent was characterized by different techniques, such as Fourier transform infrared, X-ray diffraction spectroscopy, thermogravimetric analysis, scanning electron microscopy, and energy-dispersive X-ray. The sorption equilibrium was well fitted on the non-linear Langmuir isotherm model (R2= 0.9782). The kinetic models show that bisphenol A sorption fits the non-linear pseudo-second-order model (R2=0.9999). The maximum sorption capacity of 41.56 mg g-1 was obtained for nanoadsorbent under a pH of 5, nanoadsorbent dosage of 0.01 g, a temperature of 25 °C, and a contact time of 15 min. The nanoadsorbent was recyclable by 80% regeneration efficiency after the fifth cycle of usage. This work demonstrated that the synthesized nanoadsorbent was a novel and promising adsorbent for the removal of bisphenol A with an efficiency of >91% from the environmental water and industrial sewage samples. [ABSTRACT FROM AUTHOR]