2020
DOI: 10.1016/j.ijbiomac.2020.07.042
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Effective adsorptive removal of reactive dyes by magnetic chitosan nanoparticles: Kinetic, isothermal studies and response surface methodology

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Cited by 120 publications
(37 citation statements)
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“…This enhanced surface area property will lead to efficient diffusion of the RR120 dye molecules into inter pores and/or adsorption active sites. Subsequently, adding more doses of the adsorbent (CHT-ECH/CFA50) to the dye solution will offer more active adsorption sites for capturing anionic dye molecules such as RR120 [39]. Besides that, the interaction between dose (B) and temperature (D) was observed to be statistically significance with p-value of 0.0460.…”
Section: Three-dimensional (3-d) Surface Plotsmentioning
confidence: 93%
“…This enhanced surface area property will lead to efficient diffusion of the RR120 dye molecules into inter pores and/or adsorption active sites. Subsequently, adding more doses of the adsorbent (CHT-ECH/CFA50) to the dye solution will offer more active adsorption sites for capturing anionic dye molecules such as RR120 [39]. Besides that, the interaction between dose (B) and temperature (D) was observed to be statistically significance with p-value of 0.0460.…”
Section: Three-dimensional (3-d) Surface Plotsmentioning
confidence: 93%
“…Five independent parameters for optimization were contact time (A), dye concentration (B), agitation speed (C), pH (D), and adsorbent dosage (E). The main processes involved in the optimization of multiple variables included statistically designing the experiment, estimating the coefficient, analyzing the response, and checking the suitability of the model (Box & Behnken 1960;Jaafari et al 2020).…”
Section: Experimental Designmentioning
confidence: 99%
“…All the variables were mentioned in the equation without considering their respective statistical significance. Response parameter Y 1 showed positive correlation with all the process parameters which indicated a synergistic association [32]. Further, with an objective of assessing the reliability of the model, the results generated using this model were compared with the experimental values.…”
Section: Model Equations and Regression Analysismentioning
confidence: 99%