Process optimization of Hevea brasiliensis sawdust based activated carbon using response surface methodology for remazol brilliant violet 5R adsorption

2018 ◽  
Author(s):  
K. Azduwin ◽  
M. A. Ahmad
Keyword(s):  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Process Optimization ◽  
Hevea Brasiliensis ◽  
Remazol Brilliant Violet 5R

scholarly journals Simulation of a conventional water treatment plant for the minimization of new emerging pollutants in drinking water sources: process optimization using response surface methodology

RSC Advances ◽  
2017 ◽  
Vol 7 (19) ◽  
pp. 11550-11560 ◽  
Author(s):  
A. Vijaya Bhaskar Reddy ◽  
Zulkifli Yusop ◽  
Jafariah Jaafar ◽  
Azmi B. Aris ◽  
Zaiton A. Majid
Keyword(s):  
Response Surface Methodology ◽  
Drinking Water ◽  
Activated Carbon ◽  
Water Treatment ◽  
Response Surface ◽  
Process Optimization ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Emerging Pollutants ◽  
Water Treatment Plants

This study described the ability of conventional water treatment plants for the removal of NEPs by optimizing the concentrations of pH, PAC, activated carbon and chlorine (Cl2).

Optimization Process for Producing Mesopores Activated Carbon Based on Hevea Brasiliensis Seed Coat Using Response Surface Methodology

2011 ◽  
Vol 364 ◽  
pp. 382-387
Author(s):  
Mohd Nazri Idris ◽  
Zainal Arifin Ahmad ◽  
Zakaria Mohd Amin ◽  
Mohd Azmier Ahmad
Keyword(s):  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Seed Coat ◽  
Hevea Brasiliensis ◽  
Activation Time ◽  
Activation Temperature ◽  
Temperature Activation ◽  
Quadratic Models ◽  
Significant Factors

The conditions for the preparation of rubber (hevea brasiliensis) seed coat based activated carbon (RSCAC) treated with NaOH were optimized through response surface methodology (RSM). The effects of three preparation variables: the activation temperature, activation time and NaOH impregnation ratio (IR) on Remazol Brilliant Blue R (RBBR) removal from aqueous solutions and RSCAC yield were investigated. Based on the RSM, two quadratic models were respectively developed to correlate the preparation variables to the RBBR percentage removal and carbon yield. The significant factors on each experimental design response were identified from the analysis of variance (ANOVA). The optimum conditions for RSCAC preparation were obtained by using activation temperature of 700 °C, activation time of 1.0 h and IR of 1.0, which resulted in 70.82% of RBBR removal and 24.93% of RSCAC yield.

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