Removal of Bisphenol-A using Cyphos IL-101 impregnated Amberlite XAD-7: optimisation using response surface methodology

ABSTRACT

Resins, when impregnated with a solvent shows better stability, higher affinity, and effectiveness in removing pollutants. The interaction of pollutants with the impregnated resin takes place by adsorption, solvent extraction, and ion exchange which enhance the resin capacity. Here, Bisphenol-A (BP-A) was removed from aqueous solution using Cyphos IL-101 impregnated Amberlite XAD-7 resin. FTIR, FE-SEM, TGA, BET, and point of zero charge analysis were used for characterisation. The experiments were designed using CCD of RSM, and an empirical model was developed to optimise input variables. The effective input parameters chosen were: resin dosage (D: 2 to 4 g/L), initial BP-A concentration (C: 30 to 50 mg/L), solution pH (P: 4 to 8), and temperature (T: 303 to 323 K) and their effect on the responses (percentage removal and adsorption capacity) were studied. At optimum conditions (D = 5 g/L, C= 58.6 mg/L, P = 8.44, and T = 294.6 K), the experimental and predicted percent removal were found to be 97.56% and 99.99%, respectively. Equilibrium and kinetic data were matched with Freundlich and pseudo-second-order model, respectively. The regenerability study showed good performance of the resin after the 5^th cycle (1^st use: 97.55%, 6^th use: 96.21%).

KEYWORDS:

• Amberlite XAD-7
• Bisphenol-A
• Cyphos IL-101
• response surface methodology
• solvent impregnated resin

Acknowledgments

Dr. Dipaloy Datta acknowledges Science & Engineering Research Board (SERB), Department of Science & Technology, New Delhi, India for financially supporting the work (synthesis and characterization of the adsorbent) under Early Career Research Award (ECR/2016/001297). We also thank Material Research Centre (MRC) of MNIT, Jaipur for providing the FTIR, FE-SEM and EDS facilities to characterize the prepared adsorbent.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Science and Engineering Research Board [ECR/2016/001297].