2022
DOI: 10.47352/jmans.2774-3047.144
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Chemical Regeneration of A Dye-Laden Activated Carbon: Optimization via The Box-Behnken Experimental Design

Abstract: Activated carbon is widely used as an adsorbent to remove numerous pollutants from water and wastewater. The cost-effectiveness of an adsorbent depends upon its ability to be reused. This study focuses on regenerating Millettia thonningii seed pods' activated carbon (MAC) saturated with Methylene Blue (MB) using acetic acid as a regenerating solvent and exploring its potential to be reused. The effects of the variables such as, the concentration of the regenerating solvent, contact time, and volume of regenera… Show more

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Cited by 3 publications
(2 citation statements)
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“…The major pollutants include heavy metals like lead, cadmium, mercury, etc, which cause numerous health issues to all living organisms. The pollution caused by heavy metal ions is detrimental because these cannot be degraded or removed from the water by microorganisms and remains there as it is [3,4]. These pollutants were mixed with water mainly from mining, electroplating, agriculture, chemical plants, metallurgy, etc.…”
Section: Introductionmentioning
confidence: 99%
“…The major pollutants include heavy metals like lead, cadmium, mercury, etc, which cause numerous health issues to all living organisms. The pollution caused by heavy metal ions is detrimental because these cannot be degraded or removed from the water by microorganisms and remains there as it is [3,4]. These pollutants were mixed with water mainly from mining, electroplating, agriculture, chemical plants, metallurgy, etc.…”
Section: Introductionmentioning
confidence: 99%
“…This method has the disadvantage that it does not show an interactive effect and the overall effect of the variables involved [19]. To overcome these deficiencies, the use of multi-variable statistical techniques is now increasingly explored; one of them is known as response surface methodology (RSM) [7] [20]. RSM is a statistical technique that uses multiple regression and correlation analysis as a tool to assess the effect of two or more independent variables on the dependent variable, with the aid of analysis of variance (ANOVA) [6] [10] [13][21].…”
Section: Introductionmentioning
confidence: 99%