Kinetics, equilibrium studies and thermodynamics of methylene blue adsorption on Ephedra strobilacea saw dust and modified using phosphoric acid and zinc chloride

Agarwal, Shilpi; Tyagi, Inderjeet; Gupta, Vinod Kumar; Ghasemi, Nahid; Shahivand, Mahdi; Ghasemi, Maryam

doi:10.1016/j.molliq.2016.02.073

Cited by 118 publications

(59 citation statements)

References 57 publications

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“…The increase of percentage removal implies not only the temperature has a significant effect on the sorption, but also the sorption of MB is an endothermic process. Some researcher has reported similar findings [10,21]. Higher percentage removal at 65 o C compared to 25 o C might due to the mobility of the molecule dye increases [21].…”

Section: Main Effectsmentioning

confidence: 59%

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Removal of methylene blue from aqueous solutions using alum Sludge: Sorption optimization by response surface methodology

Yusuff

Ong

Yunus

et al. 2018

J. Fundam and Appl Sci.

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A sorption process on low cost sorbents is one the promising methods for removing of these pollutants from aqueous solutions. This report describes use of drinking water treatment sludge which is abundantly available from drinking water treatment plants, t methylene blue (MB) dye from aqueous solutions. The main objective of this work is to determine the optimum conditions for removal of MB dye, a common compound that is used as a model for organic chemicals. optimization of the sorption process. Six independent important factors which are temperature of treatment, pH of solution, dosage of sorbent, initial dy temperature of sorption were investigated using batch sor factorial faced centered central composite design.

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Section: Main Effectsmentioning

confidence: 59%

“…Higher percentage removal at 65 o C compared to 25 o C might due to the mobility of the molecule dye increases [21]. However, in [10] documented that the rate of diffusion of the dye molecules across the external boundary layer and the internal pores of the sorbents particle increases …”

Section: Main Effectsmentioning

confidence: 95%

Removal of methylene blue from aqueous solutions using alum Sludge: Sorption optimization by response surface methodology

Yusuff

Ong

Yunus

et al. 2018

J. Fundam and Appl Sci.

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“…This behavior was assured by the rapid MB removal at retention time ranging from 5 to 30 min (7.3-8.3 mg/g, respectively) [40]. Such adsorption was related to the plentiful availability of unoccupied binding sites on the TGSH surface ready for interaction with MB ions [4], while the MB adsorption rate was decelerated (q t ≈ 8.5 mg/g) at 30 > t ≤ 120 min of equilibrium time owing to the decline in the accessible vacant sites on TGSH surface. Beyond 120 min of equilibrium time, insignificant increase in the removed amount of MB by the TGSH was recorded (q t ≈ 8.6 mg/g).…”

Section: Effect Of Contact Timementioning

confidence: 98%

Talc-graphite schist as a natural organo-mineral complex for methylene blue remediation: kinetic and isotherm study

et al. 2020

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Talc-graphite schist (TGSH) is a natural organo-mineral complex that was derived from the regional metamorphism of organic matter-bearing calcareous clays under the lowest temperature and pressure of the green schist facies (573-632 K and 1-3 Kbars, respectively). The application of TGSH that is widely available in the Meatiq area (Eastern Desert, Egypt) was investigated for the first time ever in the remediation of methylene blue dye (MB) from aqueous solutions. The characterization of the TGSH was carried out using various techniques (XRF, XRD, SEM, FT-IR and BET surface area), and its MB removal capacity was estimated at different experimental conditions. The MB adsorption by TGSH was time-and pH-dependent process, where 120 min was sufficient enough to attain equilibrium. The MB adsorption capacity by the TGSH was directly proportional to the applied temperature, confirming that the MB adsorption process was endothermic in behavior. Based on the determination coefficients, the pseudo-second-order equation (R 2 = 0.939) explained MB adsorption data better than the first-order one (R 2 = 0.653). Meanwhile, intra-particle diffusion was not the sole controlling rate in MB removal by the TGSH. Moreover, the nonlinear regressions of Langmuir model (R 2 = 0.876) explained the equilibrium data better than the other applied models (Temkin, R 2 = 0.793, and Freundlich, R 2 = 0.752). On the other hand, the estimated q max (maximum removal capacity) of Langmuir was 9.41 mg/g at ambient temperature. Hydrogen bonding and electrostatic interaction were the governing mechanisms of MB removal by TGSH with variable impact in accordance with the prevailing pH condition.

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“…A close to zero value of 1/n manifests the rise of heterogeneity on the surface [54], and the value of 1/n between 0 and 1 shows a favorable adsorption process, while 1/n above 1 demonstrates bi-mechanism and cooperative adsorption [55]. The Temkin isotherm assumes that the adsorption energy would decrease linearly with the surface coverage due to the adsorbent-adsorbate interactions [56]. The linear form of Temkin isotherm is given as follows:…”

Section: Equilibrium Isothermsmentioning

confidence: 99%

Modeling of Malachite Green Removal from Aqueous Solutions by Nanoscale Zerovalent Zinc Using Artificial Neural Network

Ruan

Shi

et al. 2017

Applied Sciences

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Abstract:The commercially available nanoscale zerovalent zinc (nZVZ) was used as an adsorbent for the removal of malachite green (MG) from aqueous solutions. This material was characterized by X-ray diffraction and X-ray photoelectron spectroscopy. The advanced experimental design tools were adopted to study the effect of process parameters (viz. initial pH, temperature, contact time and initial concentration) and to reduce number of trials and cost. Response surface methodology and rapidly developing artificial intelligence technologies, i.e., artificial neural network coupled with particle swarm optimization (ANN-PSO) and artificial neural network coupled with genetic algorithm (ANN-GA) were employed for predicting the optimum process variables and obtaining the maximum removal efficiency of MG. The results showed that the removal efficiency predicted by ANN-GA (94.12%) was compatible with the experimental value (90.72%). Furthermore, the Langmuir isotherm was found to be the best model to describe the adsorption of MG onto nZVZ, while the maximum adsorption capacity was calculated to be 1000.00 mg/g. The kinetics for adsorption of MG onto nZVZ was found to follow the pseudo-second-order kinetic model. Thermodynamic parameters (∆G 0 , ∆H 0 and ∆S 0 ) were calculated from the Van't Hoff plot of lnKc vs. 1/T in order to discuss the removal mechanism of MG.

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Kinetics, equilibrium studies and thermodynamics of methylene blue adsorption on Ephedra strobilacea saw dust and modified using phosphoric acid and zinc chloride

Cited by 118 publications

References 57 publications

Removal of methylene blue from aqueous solutions using alum Sludge: Sorption optimization by response surface methodology

Removal of methylene blue from aqueous solutions using alum Sludge: Sorption optimization by response surface methodology

Talc-graphite schist as a natural organo-mineral complex for methylene blue remediation: kinetic and isotherm study

Modeling of Malachite Green Removal from Aqueous Solutions by Nanoscale Zerovalent Zinc Using Artificial Neural Network

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