2015
DOI: 10.7763/ijesd.2015.v6.602
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Application and Optimization of Using Recycled Pulp for Methylene Blue Removal from Wastewater: A Response Surface Methodology Approach

Abstract: Abstract-One of the main challenges in the industrial world is presence of dyes in water bodies, which can create lots of problems. Researchers have recently focused a lot on removing dyes by use of low cost techniques or waste material. A huge amount of waste paper is daily produced in many places. This study has been conducted to investigate the possibility of using waste paper as an adsorbent to remove methylene blue (MB) dye from water. With total of six variables observed, the experiment was divided into … Show more

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Cited by 4 publications
(5 citation statements)
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“…Response surface methodology is a mathematical and statistical method that uses the quantitative data from experiments to analyze the effects of independent variables and to investigate the interaction of several parameters affecting the process by varying them simultaneously (Mourabet et al 2017). The mechanism of this statistical method is based on the statistical design of the experiments, evaluation of the coefficients of mathematical models, prediction of results and investigation of the accuracy of the model (Hermawan et al 2015;Mousavi & Nazari 2017). The effects of four independent variables namely contact time (X 1 ), initial pH (X 2 ), adsorbent dosage (X 3 ) and initial dye concentration (X 4 ) were investigated by means of CCD.…”
Section: Experimental Design and Empirical Modelingmentioning
confidence: 99%
“…Response surface methodology is a mathematical and statistical method that uses the quantitative data from experiments to analyze the effects of independent variables and to investigate the interaction of several parameters affecting the process by varying them simultaneously (Mourabet et al 2017). The mechanism of this statistical method is based on the statistical design of the experiments, evaluation of the coefficients of mathematical models, prediction of results and investigation of the accuracy of the model (Hermawan et al 2015;Mousavi & Nazari 2017). The effects of four independent variables namely contact time (X 1 ), initial pH (X 2 ), adsorbent dosage (X 3 ) and initial dye concentration (X 4 ) were investigated by means of CCD.…”
Section: Experimental Design and Empirical Modelingmentioning
confidence: 99%
“…The predicted minimum DCR appeared to be less than 0, which is technically impossible because DCR cannot have a negative value. This result can be considered to be an unavoidable statistical error in the RSM software, which only depends on the value to make its prediction; further investigation is necessary to minimize this error [ 42 ].…”
Section: Resultsmentioning
confidence: 99%
“…[1] As reported recently by Ertugay et al [2] more than 25% of the total world population suffers from health and hygienic problems related to pollutant inflowing water. [2] Indeed, with the human development and improvement of technologies, large amounts of wastes are discharged every day into water.…”
Section: Introductionmentioning
confidence: 91%
“…The problem get worst and becomes more serious when dyes from textile industries flow into the water. [1,3] The nature of dyestuffs is very large and they are usually classified in accordance with the dyeing processes: some interact by ionic bonds or form covalent bonds or interact by electrostatic forces, and others interact by hydrophobic forces. It is worth to mention that among these, azo dyes are the dominant class among commercial dyes and belong to the category of direct dyes, largely used to color cellulose fibers mainly interacting through hydrophobic forces.…”
Section: Introductionmentioning
confidence: 99%