82
Views
15
CrossRef citations to date
0
Altmetric
Articles

Optimized adsorption of 4-chlorophenol onto activated carbon derived from milk vetch utilizing response surface methodology

, , &
Pages 14213-14226 | Received 15 Oct 2014, Accepted 07 Jun 2015, Published online: 21 Jul 2015
 

Abstract

In the present study, the adsorption of 4-chlrorophenol (4-CP) from aqueous solutions was investigated using activated carbon prepared from milk vetch. Scanning electron microscopy, Brunauer–Emmett–Teller, and Fourier transform infrared were carried out to characterize as-prepared activated carbon. The adsorption process was optimized by response surface methodology based on central composite design. Accordingly, a 4-CP removal of 89.52% was obtained with a reaction time of 49 min, initial 4-CP concentration of 56 mg/L, adsorbent dosage of 1 g/L, and initial pH of 7. Among various operational parameters, the adsorbent dosage (F-value = 139.5) produced the largest effect on 4-CP removal (%), while initial pH (F-value = 0.620) presented the lowest effect. The pseudo-second-order kinetic equation described the process reasonably well (R2 = 0.9996). The process followed Langmuir isotherm (R2 = 0.9969) with a maximum adsorption capacity of about 87 mg/g. For chemical regeneration, during three-stage regeneration runs, the removal efficiency (%) of 4-CP decreased from 87.45 to 61.15%, while, in the case of thermal regeneration, it decreased from 87.45 to 77.68%, respectively. Overall, activated carbon derived from milk vetch can be applied as an efficient adsorbent for sequestering 4-CP from aqueous phase with relatively high reusability potential.

Acknowledgments

The authors would like to thank Arak University of Medical Sciences and Ilam University of Medical Sciences for their supports.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.