Adsorptive removal of Bisphenol A by biomass activated carbon and insights into the adsorption mechanism through density functional theory calculations

Supong, Aola; Bhomick, Parimal Chandra; Baruah, Mridushmita; Pongener, Chubaakum; Sinha, Upasana Bora; Sinha, Dipak

doi:10.1016/j.scp.2019.100159

Cited by 57 publications

(26 citation statements)

References 39 publications

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“…The X-ray diffraction patterns of CB-GAC was shown in Figure 3c. An increase in sharpness of the~26 • peak is seen with the rise, indicating that the CB-GAC consists of graphite-like microcrystallites [36]. The peak width is relatively narrow, indicating that its laminar crystal structure is good.…”

Section: Characterization Of the Cb-gacmentioning

confidence: 95%

Modeling and Optimizing of NH4+ Removal from Stormwater by Coal-Based Granular Activated Carbon Using RSM and ANN Coupled with GA

Liu

et al. 2021

Water

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As a key parameter in the adsorption process, removal rate is not available under most operating conditions due to the time and cost of experimental testing. To address this issue, evaluation of the efficiency of NH4+ removal from stormwater by coal-based granular activated carbon (CB-GAC), a novel approach, the response surface methodology (RSM), back-propagation artificial neural network (BP-ANN) coupled with genetic algorithm (GA), has been applied in this research. The sorption process was modeled based on Box-Behnben design (BBD) RSM method for independent variables: Contact time, initial concentration, temperature, and pH; suggesting a quadratic polynomial model with p-value < 0.001, R2 = 0.9762. The BP-ANN with a structure of 4-8-1 gave the best performance. Compared with the BBD-RSM model, the BP-ANN model indicated better prediction of the response with R2 = 0.9959. The weights derived from BP-ANN was further analyzed by Garson equation, and the results showed that the order of the variables’ effectiveness is as follow: Contact time (31.23%) > pH (24.68%) > temperature (22.93%) > initial concentration (21.16%). The process parameters were optimized via RSM optimization tools and GA. The results of validation experiments showed that the optimization results of GA-ANN are more accurate than BBD-RSM, with contact time = 899.41 min, initial concentration = 17.35 mg/L, temperature = 15 °C, pH = 6.98, NH4+ removal rate = 63.74%, and relative error = 0.87%. Furthermore, the CB-GAC has been characterized by Scanning electron microscopy (SEM), X-ray diffraction (XRD) and Brunauer-Emmett-Teller (BET). The isotherm and kinetic studies of the adsorption process illustrated that adsorption of NH4+ onto CB-GAC corresponded Langmuir isotherm and pseudo-second-order kinetic models. The calculated maximum adsorption capacity was 0.2821 mg/g.

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Section: Characterization Of the Cb-gacmentioning

confidence: 95%

Modeling and Optimizing of NH4+ Removal from Stormwater by Coal-Based Granular Activated Carbon Using RSM and ANN Coupled with GA

Liu

et al. 2021

Water

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“…As a comparison, Şenol et al 39 have found that the adsorption isotherm was more consistent with the Langmuir and Redlich-Peterson models with two and three parameters, respectively, and in a study of BPA adsorption onto lichen biomass, Supong et al 40 have determined that the adsorption of BPA by Tithonia diversifolia biomass-based activated carbon is more correlated with the Langmuir isotherm model. In contrast, Juhola et al 41 have determined that the Sips isotherm is the most appropriate model for all adsorbents in a study of BPA adsorption onto biomassbased carbons, and Hernández-Abreu et al 63 have determined that the adsorption of BPA by Kra lignin-based activated carbon is more correlated with the Sips model.…”

Section: Bpa Adsorption Isothermsmentioning

confidence: 97%

“…To assess the effect of SSS treatment on the BPA removal efficiency, SSS and ACS (ACS25, ACS50, ACS75, ACS98) adsorption experiments were performed. Based on previously published work, [38][39][40][41] we carried out preliminary tests and then set the operating conditions: namely, concentration of BPA (50 mg L À1 ), adsorbent dosage (1.5 g L À1 ), and pH (2) at room temperature (298 AE 2 K).…”

Section: Adsorption Experimentsmentioning

confidence: 99%

“…According to the literature, there are several studies on the adsorption of BPA by biomass-based adsorbents whose kinetic studies have been carried out with the most widely used classical kinetic models, such as the PFO, PSO, and intraparticle diffusion models, the majority of whose BPA adsorption kinetics follow the PSO model and sometimes the PFO model. [39][40][41]63,64 However, to our knowledge, no studies of fractal kinetics have ever been performed on BPA adsorption by biomasses.…”

Section: Bpa Adsorption Kineticsmentioning

confidence: 99%

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Production of modified sunflowers seed shells for the removal of bisphenol A

et al. 2021

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“…The Elovich coefficients can be obtained from the linear plot of qt versus ln(t). If the adsorption of manganese ions by using S-AC450 o C, P-AC450 o C and OH-AC450 o C carbons fits the Elovich model, a plot of qt versus ln(t) should yield a linear relationship with a slope of (1/β) and an intercept of 1/βln(αβ) [29]. As in table1, the correlation coefficients obtained by Elovich model showed good linearity with both S-AC450 o C (R 2 = 0.97284) and OH-AC450 o C (R 2 =0.93627), which means that this model is a good model for adsorption of Mn(II) on S-AC 450 o C and OH-AC 450 o C.…”

Section: Intra-particle Diffusion Equationmentioning

confidence: 99%

Preparation of Activated Carbon From Ion Exchange Resin Waste and Its Application for Manganese Removal From Groundwater

Swelam

Gedamy

El.shahed

2020

Al-Azhar Bulletin of Science

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The present study aims to synthesize an activated carbon adsorbent (S-AC, P-AC and OH-AC) from polystyrene divinyl benzene waste under different carbonization temperature (450 o C and 900 o C and activation conditions (H2SO4, H3PO4 or NaOH). It being characterized and applied as an adsorbent for manganese removal from groundwater. FTIR results indicate that the changes in the peak intensities clear that the binding process was occurring on the surface of the adsorbent. Different factors such as solution pH, adsorbent dosage, contact time, temperature and Mn(II) initial concentration were investigated. The results showed that manganese adsorption capacity decreases with the increase of the carbonization temperature (900 o C) and of activating agent H2SO4 > H3PO4 >NaOH. Kinetically, it was shown that the activation temperature of 450 o C is the best temperature for activating the adsorbent carbons. The pseudo-first-order model is appropriate for predicting the adsorption process of Mn(II) onto the P-AC 450 o C, P-AC 900 o C and OH-AC 900 o C, while the pseudo-secondorder model is appropriate for predicting the adsorption process of Mn(II) onto the both S-AC 450 o C, S-AC 900 o C, OH-AC 450 o Cand OH-AC 900 o C. Thermodynamic calculations affirmed that Mn(II) adsorption onto S-AC and P-AC was an endothermic process while onto OH-AC was exothermic process. Finally, the results suggested that the prepared S-AC has high adsorption capacities for Mn(II) compared with other adsorbents, such as P-AC and OH-AC. Therefore, S-AC 450 o Ccan be used in the groundwater treatment unit.

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Adsorptive removal of Bisphenol A by biomass activated carbon and insights into the adsorption mechanism through density functional theory calculations

Cited by 57 publications

References 39 publications

Modeling and Optimizing of NH4+ Removal from Stormwater by Coal-Based Granular Activated Carbon Using RSM and ANN Coupled with GA

Modeling and Optimizing of NH4+ Removal from Stormwater by Coal-Based Granular Activated Carbon Using RSM and ANN Coupled with GA

Production of modified sunflowers seed shells for the removal of bisphenol A

Preparation of Activated Carbon From Ion Exchange Resin Waste and Its Application for Manganese Removal From Groundwater

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