2019
DOI: 10.1002/ep.13146
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Optimization of process parameters for methylene blue removal by jute stick using response surface methodology

Abstract: In this study, jute stick (JS), the underexplored by‐product of jute (Corchorus olitorius) cultivation system, has been used as a novel low‐cost adsorbent to remove methylene blue (MB), a cationic dye, from an aqueous medium. Box–Behnken design matrix and response surface methodology (RSM) have been used to evaluate the effect of four important process factors namely, solution pH (3–11), adsorbent dose (0.5–5 g L−1), initial dye concentration (50–200 mg L−1), and time (60–180 min). JS was characterized by phys… Show more

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Cited by 25 publications
(22 citation statements)
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“…The powdered activated carbon available commercially has been implemented by many researchers in literature. 2 Cost is the most important factor for selection of technology to be implemented for treatment. 48 The adsorption technique is based on the selection of potentially suitable adsorbent.…”
Section: Energy Consumptionmentioning
confidence: 99%
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“…The powdered activated carbon available commercially has been implemented by many researchers in literature. 2 Cost is the most important factor for selection of technology to be implemented for treatment. 48 The adsorption technique is based on the selection of potentially suitable adsorbent.…”
Section: Energy Consumptionmentioning
confidence: 99%
“…Typically, dyes have been utilized in every chemical sector ranging from pilot plants to large-scale industries and this sector consumes potentially huge water volume. 1,2 The dye effluent producing units predominates in present scenario due to their wider applications in field of textile, paper, printing, academic institutions, small-scale pilot plants, and so forth. They may be organic or inorganic pollutants retained in the effluent stream.…”
Section: Introductionmentioning
confidence: 99%
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“…The aim of using RSM is to concurrently optimize influential parameters in the adsorption process to find the best efficiency. The most important advantage of this methodology is reducing the number of experiments and preserving materials, energy, and time [37,38]. RSM consists of statistical and mathematical techniques, which leads to a comprehensive analysis of the correlation between effective factors [25].…”
Section: Experimental Design and Optimizationmentioning
confidence: 99%
“…Where x i and x j indicates are the independent variables as coded levels, Y is the response, b ij , b ii , b i , and b 0 are the interaction, quadratic, linear, and intercept coefficients, respectively, and n is the number of independent variables [38]. The reliability of the fitted model and the statistical significance were evaluated by the correlation coefficient R 2 , analysis of variance (ANOVA), and P-value.…”
Section: Experimental Design and Optimizationmentioning
confidence: 99%