header

Modeling of Adsorptive Properties and Regeneration of Ihiala Clay on Removal of Congo Red (CR) Dyes Using ANN, ANFIS, and RSM Cum Kinetics Investigation

39 Pages Posted: 30 Jun 2022 Publication Status: Under Review

See all articles by Collins Oguanobi

Collins Oguanobi

Michael Okpara University of Agriculture, Umudike

Chijioke E. Onu

Nnamdi Azikiwe University

O.D. Onukwuli

Nnamdi Azikiwe University

Engr. Ephrem Anike

Michael Okpara University of Agriculture

Dr. Calistus Ude

Michael Okpara University of Agriculture

Abstract

This work focused at investigating the ramification of acid modification on adsorptive qualities of Ihiala clay on the removal of Congo red (CR) dyes from aqueous solution. The batch adsorption process was employed to study the impact of independent process variables. Performance evaluation of the adsorbent was also analyzed using Non-linear models. The adsorption mechanism was investigated using Intra-particle diffusion, Liquid film, and the Boyd model. Thermodynamic properties ∆S, ∆H, ∆G, and E a , were determined. RSM, ANN, and ANFIS were used in predictive modeling of the adsorption process. The activation resulted into increase in surface area. Maximum color removal was observed at pH 2. CR removal increased with a decrease in adsorbent particle size and an increase in initial dye concentration, contact time, temperature, and adsorbent dosage. Langmuir and pseudo nth order best described the isotherm and kinetics of the adsorption, respectively. The adsorption mechanism result indicated that the liquid film diffusion process was the rate-limiting step. Thermodynamic results suggested that the adsorption was spontaneous, endothermic, favorable, and physical. ANFIS model (R 2 =0.9960; RMSE=0.0027 and HYBRID=0.0712) was statistically more significant than the ANN and RSM model. This research confirms acid-activated Ihiala clay (PIC), suitable, alternative, non-conventional, cost-efficient adsorbent to rely on for CR dye removal from effluents due to its high adsorption and desorption capacity.

Keywords: Adsorption, Congo red, kinetics, optimization, Modeling, artificial neural network (ANN), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), Response Surface Methodology (RSM), Desorption, isotherm

Suggested Citation

Oguanobi, Collins and Onu, Chijioke E. and Onukwuli, O.D. and Anike, Engr. Ephrem and Ude, Dr. Calistus, Modeling of Adsorptive Properties and Regeneration of Ihiala Clay on Removal of Congo Red (CR) Dyes Using ANN, ANFIS, and RSM Cum Kinetics Investigation. Available at SSRN: https://ssrn.com/abstract=4150411 or http://dx.doi.org/10.2139/ssrn.4150411

Collins Oguanobi (Contact Author)

Michael Okpara University of Agriculture, Umudike ( email )

Chijioke E. Onu

Nnamdi Azikiwe University ( email )

Enugu-Onitsha Expressway
PMB 5025
Awka, DE 234
Nigeria

O.D. Onukwuli

Nnamdi Azikiwe University

Enugu-Onitsha Expressway
PMB 5025
Awka, DE Anambra State 234
Nigeria

Engr. Ephrem Anike

Michael Okpara University of Agriculture ( email )

Umuahia-Ikot Ekpene Road
PMB 7267
Umudike, 440001
Nigeria

Dr. Calistus Ude

Michael Okpara University of Agriculture ( email )

Umuahia-Ikot Ekpene Road
PMB 7267
Umudike, 440001
Nigeria

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
40
Downloads
10
PlumX Metrics