Efficient removal of cationic dyes via activated carbon with ultrahigh specific surface derived from vinasse wastes

Li, Lindong; Wu, Ming-Bang; Song, Chuhan; Lin, Li; Gong, Wenli; Ding, Yanhong; Yao, Juming

doi:10.1016/j.biortech.2020.124540

Cited by 53 publications

(13 citation statements)

References 42 publications

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“…However, when the concentration increased to a certain value, the adsorption sites of AC adsorbents became saturated, leading to the unchanged adsorption quantity. According to the adsorption isotherm parameters listed in Table 5 and Table S4 , the Langmuir model exhibited higher R 2 value compared with that of the Freundlich model for both nonlinear and linear fitting modes, implying that the Langmuir model is better suited to describe the adsorption process of the AC adsorbents, demonstrating the monolayer adsorption process of the AC adsorbents [ 44 ]. The AC adsorbent synthesized at the mass ratio of 2:1 exhibited a maximum adsorption quantity (q m ) of 859.81 mg/g.…”

Section: Resultsmentioning

confidence: 99%

Porous ZnCl2-Activated Carbon from Shaddock Peel: Methylene Blue Adsorption Behavior

et al. 2022

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It is of great interest and importance to resource utilization of waste biomass to produce porous carbon for environmental treatments. Pore structure and properties of the obtained carbon mainly relate to carbonization conditions and biomass types. In this work, a series of porous, biomass-activated carbons (AC) were prepared using shaddock peel, with ZnCl2 as a pore-forming agent. The effect of carbonization temperature and the mass ratio between ZnCl2 and shaddock peel were thoroughly investigated. The material composition, surface chemical properties, and surface structures of samples were carefully characterized. The specific surface area and adsorption capacity to methylene blue (MB) of adsorbents were changed with the carbonization temperature and the mass ratios between ZnCl2 and shaddock peel; when the temperature was at 1000 °C and the mass ratio was equal to 2:1, the resulting adsorbent had the largest specific surface area of 2398.74 m2/g and average pore size of 3.04 nm, which showed the highest adsorption capacity to MB to be 869.57 mg/g. The adsorption processes of biomass AC adsorbent matched the pseudo-second-order kinetic model and Langmuir isotherm model. This efficient and environmentally friendly biomass AC adsorbent from shaddock peel, activated by ZnCl2, is a promising candidate for the treatment of water pollution.

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Section: Resultsmentioning

confidence: 99%

Porous ZnCl2-Activated Carbon from Shaddock Peel: Methylene Blue Adsorption Behavior

et al. 2022

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“…The adsorption process of organic compound ions on the surface of a carbonaceous adsorbent is commonly very complicated. 38 According to another related research, 39 it was mainly affected by the following three factors: (1) the high specific surface area and pore size distribution, (2) the π−π electron donor−acceptor interaction between the aromatic ring of the organic compound and the graphitic structure of the carbonaceous material, and (3) the electrostatic interaction or hydrogen bonding effect between the charged ions and surface oxygencontaining functional groups.…”

Section: Resultsmentioning

confidence: 99%

Hierarchical Porous Catalytic Pyrolysis Char Derived from Oily Sludge for Enhanced Adsorption

Han

Gong³

et al. 2021

ACS Omega

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A novel pyrolysis char (PC), prepared by H 3 PO 4 catalytic pyrolysis of oily sludge (OS), was presented to remove methylene blue (MB) dye from aqueous solution for the first time. The optimal preparation conditions (catalytic pyrolysis temperature of 411 °C, H 3 PO 4 impregnation ratio of 2.44, and catalytic pyrolysis time of 59 min) were predicted by the response surface methodology. The optimal PC exhibited favorable hierarchical porous properties, which brought a large adsorption capability (322.89 mg/g). The adsorption process fitted well with the Langmuir model and pseudo-second order model. In addition, thermodynamic parameters showed that the adsorption process was endothermic (ΔH 0 > 0) and spontaneous (ΔG 0 < 0). The adsorption capability was strongly influenced by coexisting metal ions due to the competitive adsorption effect. The inhibition for MB adsorption was arranged in the following order:

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“…Recently, agricultural wastes have received considerable attention due to their abundant surface functional groups, porous structures, additional inorganic minerals, and high surface area. Many researchers study the dyes’ adsorption on various agro-waste materials such as corn cobs [ 18 ], oil cake [ 19 ], rice husk [ 20 ], sugarcane bagasse [ 21 ], gram husk [ 22 ], sawdust [ 23 ], pine cone [ 24 ], tobacco residue [ 25 ], white sugar [ 26 ], Astragalus bisulcatus tree [ 27 ], tea residue [ 28 ], vinasse [ 29 ], groundnut shell [ 30 ], and so on. This class of activated carbons have a valuable potential for the wastewater dye removal.…”

Section: Introductionmentioning

confidence: 99%

“…This class of activated carbons have a valuable potential for the wastewater dye removal. Agro-waste ability in the treatment of wastewater containing dyes such as MB dyes could reach the maximum value of 2251 mg/g [ 29 ]. Most of current research followed similar methods for AC for preparation under appropriate pyrolysis temperature, followed by measuring the removal value of any types of dyes at different environmental conditions like solution pH and initial dye concentration.…”

Section: Introductionmentioning

confidence: 99%

A Study on Machine Learning Methods’ Application for Dye Adsorption Prediction onto Agricultural Waste Activated Carbon

et al. 2021

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The adsorption of dyes using 39 adsorbents (16 kinds of agro-wastes) were modeled using random forest (RF), decision tree (DT), and gradient boosting (GB) models based on 350 sets of adsorption experimental data. In addition, the correlation between variables and their importance was applied. After comprehensive feature selection analysis, five important variables were selected from nine variables. The RF with the highest accuracy (R2 = 0.9) was selected as the best model for prediction of adsorption capacity of agro-waste using the five selected variables. The results suggested that agro-waste characteristics (pore volume, surface area, agro-waste pH, and particle size) accounted for 50.7% contribution for adsorption efficiency. The pore volume and surface area are the most important influencing variables among the agro-waste characteristics, while the role of particle size was inconspicuous. The accurate ability of the developed models’ prediction could significantly reduce experimental screening efforts, such as predicting the dye removal efficiency of agro-waste activated carbon according to agro-waste characteristics. The relative importance of variables could provide a right direction for better treatments of dyes in the real wastewater.

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Efficient removal of cationic dyes via activated carbon with ultrahigh specific surface derived from vinasse wastes

Cited by 53 publications

References 42 publications

Porous ZnCl2-Activated Carbon from Shaddock Peel: Methylene Blue Adsorption Behavior

Porous ZnCl2-Activated Carbon from Shaddock Peel: Methylene Blue Adsorption Behavior

Hierarchical Porous Catalytic Pyrolysis Char Derived from Oily Sludge for Enhanced Adsorption

A Study on Machine Learning Methods’ Application for Dye Adsorption Prediction onto Agricultural Waste Activated Carbon

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