Optimization of Orange G dye adsorption by activated carbon of Thespesia populnea pods using response surface methodology

Arulkumar, Mani; Sathishkumar, Palanivel; Palvannan, Thayumanavan

doi:10.1016/j.jhazmat.2010.11.067

Cited by 193 publications

(70 citation statements)

References 29 publications

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“…The center points are used to determine the experimental error and reproducibility of the data [34,35] and the axial points are chosen such that they allow rotatability which ensures that the variance of the model prediction is constant at all points equidistant from the design center [36]. Therefore, according to Abbas [37] and Arulkumar et al, [38], the number of experimental runs required is given by the equation:…”

Section: Experimental Designmentioning

confidence: 99%

Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol

Mohammad¹,

Shaibu-Imodagbe²,

Igboro³

et al. 2014

Journal of Engineering

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Modeling of adsorption process establishes mathematical relationship between the interacting process variables and process optimization is important in determining the values of factors for which the response is at maximum. In this paper, response surface methodology was employed for the modeling and optimization of adsorption of phenol onto rice husk activated carbon. Among the action variables considered are activated carbon pretreatment temperature, adsorbent dosage, and initial concentration of phenol, while the response variables are removal efficiency and adsorption capacity. Regression analysis was used to analyze the models developed. The outcome of this research showed that 99.79% and 99.81% of the variations in removal efficiency and adsorption capacity, respectively, are attributed to the three process variables considered, that is, pretreatment temperature, adsorbent dosage, and initial phenol concentration. Therefore, the models can be used to predict the interaction of the process variables. Optimization tests showed that the optimum operating conditions for the adsorption process occurred at initial solute concentration of 40.61 mg/L, pretreatment temperature of 441.46 ∘ C, adsorbent dosage 4 g, adsorption capacity of 0.9595 mg/g, and removal efficiency of 97.16%. These optimum operating conditions were experimentally validated.

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Section: Experimental Designmentioning

confidence: 99%

Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol

Mohammad¹,

Shaibu-Imodagbe²,

Igboro³

et al. 2014

Journal of Engineering

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“…Commercial AC usually generated from non-renewable materials, which destroy environment and increase the running costs (Arulkumar et al 2011). Therefore, various abundance, renewability, cost-effectiveness and ecofriendly materials have been attracting interests of researchers.…”

Section: Introductionmentioning

confidence: 99%

Adsorption kinetic studies for removal of methylene blue using activated carbon prepared from sugar beet pulp

Yan

Liu

et al. 2016

Int. J. Environ. Sci. Technol.

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Sugar beet pulp is an abundant, renewable and low-cost precursor for production of activated carbon. In the present study, sugar beet pulp based activated carbon was prepared by using phosphoric acid as activating agent for adsorption of methylene blue. The conditions of preparation process had a significant influence on the adsorption of methylene blue, and the optimal preparation conditions were obtained as follows: liquid-to-solid ratio of 5, temperature of 450°C and phosphoric acid concentration of 3 mol/L. The properties of sugar beet pulp based activated carbon were characterized by nitrogen adsorption isotherm. The adsorption increases as the increase of contact time, adsorption temperature and pH, and initial concentration of methylene blue. Batch kinetic studies showed that an equilibrium time of 100 min was needed for the adsorption, and the adsorbance of methylene blue is 244.76 mg/g at equilibration. Kinetic models, Weber's pore diffusion model and Boyd's equation were applied to the experimental data to study the mechanism of adsorption and the controlled step. The results showed that the adsorption kinetics followed the pseudosecond-order type kinetic model, intraparticle diffusion was not the rate-limiting mechanism and adsorption process was controlled by film diffusion.

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“…According to the Ecological and Toxicological Association of the Dyestuffs Manufacturing Industry investigation of 4,000 kinds of dyes on the market, the half lethal dose value of over 90% of them is 2×10 3 mg/kg, where basic dyes and diazo direct dyes have the highest toxicity [26], [27]. In addition, there are more than 100 thousand kinds of dyes on the global market, where the total output is as high as 700 thousand MT/year [22], [28]- [30], as dyes are universally used in many industries, such as textile, paper-making, leather, food, printing, [22], [23], [30], [31]. The paper industry is the second largest user of dyes in the U.S., where ordinary colored paper accounts for 40%, primary pulp paper accounts for 20%, color card paper accounts for 20%, and medical paper accounts for 10%.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, industrial waste waters with dyes should be treated to meet discharge standards before being discharged into the environment. There have been multiple methods for removing dyes from wastewater, and ACs adsorption have high specific surface area, large adsorption volume, rapid adsorption dynamics, and relatively easy regeneration [34], thus, they can rapidly reduce the concentration of dyes in water [30], [31], [35], are applicable to various dyes [27], and are readily available and easily used [36], [37]. While they are more expensive than other adsorbents, they have good effectiveness, and are one of the key points of the present dye wastewater pollution prevention engineering.…”

Section: Introductionmentioning

confidence: 99%

Adsorption for Dyes on Activation Carbons from Japanese Cedar Wood Prepared by Precarbonization and Two-stage Composite Activations with Wood Ash and Steam

ChiaWen¹,

Lin²

2017

IJCEA

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Optimization of Orange G dye adsorption by activated carbon of Thespesia populnea pods using response surface methodology

Cited by 193 publications

References 29 publications

Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol

Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol

Adsorption kinetic studies for removal of methylene blue using activated carbon prepared from sugar beet pulp

Adsorption for Dyes on Activation Carbons from Japanese Cedar Wood Prepared by Precarbonization and Two-stage Composite Activations with Wood Ash and Steam

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