Column optimization of adsorption and evaluation of bed parameters-based on removal of arsenite ion using rice husk

Environ Sci Pollut Res Int. 2022 Oct;29(48):72279-72293. doi: 10.1007/s11356-022-20580-9. Epub 2022 May 26.

Abstract

The objective of this study deals with column optimization of adsorption-based on removal of arsenite ion using rice husk. The parameters affecting the column adsorption study, i.e., influent-concentration, bed depth, and flow rate, were optimized. The range of parameters, i.e., influent-concentration (15-50 mg/L), flow rate (20, 35, 45, and 60 mL/min), and bed depth (15-60 mm), were studied experimentally. Kinetics models Bohart-Adams and Hutchins were studied to measure the amount adsorbed, depth of mass transfer zone, saturated concentration, and time observed at 10% & 90% breakthrough. The percentage amount adsorbed qm enhanced with enhancement in bed depth but got reduced with influent ions concentration and volumetric flow rate. Established model Bohart-Adams and Hutchins equations were used for calculation of mass transfer zone which came out to be 51 mm. An adsorption capacity (qm) of 4.5 mg/g for arsenite ions was achieved at optimum parameter values of 60 mm of bed depth, 20 mL/min volumetric flow rate, and 50 mg/L of influent ions concentration. The adsorption bed parameters were also evaluated using Hutchins and Michaels equations. The column study proved rice husk to be a potential adsorbent for the adsorption of arsenite.

Keywords: Adsorbent; Arsenite; BDST model; Breakthrough curve; Fixed-bed column; Hutchins model.

MeSH terms

  • Adsorption
  • Arsenites*
  • Oryza*
  • Water Pollutants, Chemical* / analysis
  • Water Purification*

Substances

  • Arsenites
  • Water Pollutants, Chemical