ORIGINAL RESEARCH
Optimization and Modelling Using the Response
Surface Methodology for Methylene Blue Removal
by Electrocoagulation/Hazelnut Shell Adsorption
Coupling in a Batch System
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School of Chemistry and Environmental Engineering, Yangtze University, Jingzhou, P.R. China
Submission date: 2019-05-18
Final revision date: 2019-08-14
Acceptance date: 2019-08-21
Online publication date: 2020-02-10
Publication date: 2020-03-31
Corresponding author
Mijia Zhu
Yangtze University, Jingzhou, China
Pol. J. Environ. Stud. 2020;29(3):2493-2502
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ABSTRACT
The present work examined the removal of methylene blue (MB) from aqueous solutions through
an electrocoagulation/hazelnut shell (EC/HNS) adsorption coupling process. The process was evaluated
using a Box–Behnken design (BBD) under the response surface methodology (RSM). According to
the obtained results from BBD–RSM regression analysis, we found that the experimental data are best
fitted to the second-order polynomial model with coefficient of determination (R2) value of 0.9534,
adjust coefficient (Radj2) value of 0.9926 and predicted correlation coefficient (RPred2) value of 0.9973.
The maximum MB removal efficiency was obtained under optimized conditions (HNS dosage, 6 g/L;
reaction time, 17.75 min; and current density, 2.6 mA/cm2). Under the optimum conditions, the MB
removal rate reached 99.45%, and the RSM predictive value was 98.71% with a small deviation. These
results confirmed that the RSM model accurately and reliably analysed the process of removing MB
from wastewater.