Characterization and Artificial Neural Networks Modelling of methylene blue adsorption of biochar derived from agricultural residues: Effect of biomass type, pyrolysis temperature, particle size

Albalasmeh, Ammar; Gharaibeh, Mamoun A.; Mohawesh, Osama; Alajlouni, Mohammad; Quzaih, Mohammed; Masad, Mohanad; Hanandeh, Ali El

doi:10.1016/j.jscs.2020.07.005

Cited by 57 publications

(33 citation statements)

References 45 publications

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“…The results obtained show that the increased temperature had an adverse effect on the biosorption capacity. Based on that fact, one may say that Pb(II) biosorption by NaOH-P. squamosus is an exothermic process [10,31].…”

Section: Figure 2 Simultaneous Effects Of A) Initial Concentration (Co) and Initial Ph And B) Temperature And Biomass Dosage On Pb(ii) Bimentioning

confidence: 99%

An optimization study for bio-removal of lead from aqueous environments by alkali modified Polyporus Squamosus

Yılmaz

Ecer

Şahan

2021

MANAS Journal of Engineering

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Rapidly increasing industrialization and urbanization cause serious environmental pollution. Discharge of polluting material from various industries such as smelting, mining, ore processing, and metal plating into the environment without treatment causes serious pollution and can have dangerous effects on the environmental balance. The utilization of low-cost adsorbents from biological materials as a replacement for costly traditional methods for adsorption of heavy metal pollutants from wastewater was reviewed. This study aimed to investigate the biosorption of Pb(II) ions from aqueous solutions with NaOH-modified Polyporus squamosus biosorbent and optimize the biosorption conditions. Firstly, the parameters most influencing the response of the biosorption for Pb(II) (initial Pb(II) concentration (Co), pH, temperature and biomass dose) were determined using Central Composite Design (CCD). The optimum conditions were evaluated as 60.76 mg/L, 6.3, 25 °C, and 0.23 g for Co, initial pH, temperature and biomass dose, respectively. From the optimum conditions, the adsorption yield and the adsorption capacity were obtained as 93.8% and 23.63 mg/g, respectively.

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Section: Figure 2 Simultaneous Effects Of A) Initial Concentration (Co) and Initial Ph And B) Temperature And Biomass Dosage On Pb(ii) Bimentioning

confidence: 99%

An optimization study for bio-removal of lead from aqueous environments by alkali modified Polyporus Squamosus

Yılmaz

Ecer

Şahan

2021

MANAS Journal of Engineering

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“…Biochar particle size is determined by the standard particle size of the feedstock; nevertheless, it is usually much smaller due to shrinking and attrition during the pyrolysis process. Due to the improved tensile strength of raw materials at higher pyrolysis temperatures, it may yield smaller-sized biochar particles ( Albalasmeh et al, 2020 ). The functional groups on the surface of biochar, porous structure, and ionic charges can aid in the physical adsorption ( Zhang et al, 2020 ), co-precipitation ( Chen et al, 2022 ), complexation, mobilization/immobilization ( Hu et al, 2020 ), and detoxification ( Alrashidi et al, 2020 ) of metal pollutants and support the hyperaccumulator’s phytoremediation potential.…”

Section: Biochar Propertiesmentioning

confidence: 99%

Influences of Biochar on Bioremediation/Phytoremediation Potential of Metal-Contaminated Soils

Narayanan

2022

Front. Microbiol.

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A number of anthropogenic and weathering activities accumulate heavy metals in soils, causing adverse effects on soil characteristics, microbial activity (diversity), agricultural practices, and underground aquifers. Controlling soil heavy metal pollution is difficult due to its persistence in soils, resulting in the deposition and transmission into the food web via agricultural food products, ultimately affecting human health. This review critically explores the potential for remediation of metal-contaminated soils using a biochar-based responsible approach. Plant-based biochar is an auspicious bio-based residue substance that can be used for metal-polluted soil remediation and soil improvement as a sustainable approach. Plants with rapid growth and increased biomass can meet the requirements for phytoremediation in large quantities. Recent research indicates significant progress in understanding the mechanisms of metal accumulation and contaminant movement in plants used for phytoremediation of metal-contaminated soil. Excessive contamination reduces plant biomass and growth, which has substantial hyperaccumulating possibilities and is detrimental to the phytoremediation process. Biochar derived from various plant sources can promote the growth and phytoremediation competence of native or wild plants grown in metal-polluted soil. Carbon-enriched biochar encourages native microbial growth by neutralizing pH and providing nutritional support. Thus, this review critically discusses the influence of plant and agricultural waste-based biochar on plant phytoremediation potential in metal-contaminated soils.

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“…A nonlinear function of the sum of a neuron's inputs generates its output, and the signal at a connection is represented by a real number (weights) 32 . As learning process occurs, weights are frequently modified, allowing it to describe complex data using nonlinear functions from a set of relevant input parameters 33,34 …”

Section: Introductionmentioning

confidence: 99%

“…32 As learning process occurs, weights are frequently modified, allowing it to describe complex data using nonlinear functions from a set of relevant input parameters. 33,34 In recent years, ANN methods are increasingly used for the prediction of material properties in several fields of engineering, including polymer science and technology. [35][36][37][38] ANN methods are among the most popular because they are easier to use and more efficient than traditional programming methods.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network prediction of thermal and mechanical properties forBi₂O₃‐polybenzoxazinenanocomposites

Hassan

Derradji

Ali

et al. 2022

J of Applied Polymer Sci

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Polybenzoxazine (BA-a) based nanocomposites with varying amounts of Bi 2 O 3 particles reinforcement (10, 20, and 30 wt%) were produced. The structures of the Bi 2 O 3 before and after surface silane treatment, as well as the structures of the BA-a matrix and its nanocomposites, were all evaluated using Fourier transform infrared spectroscopy (FTIR). The thermal stability of the samples was evaluated by thermogravimetric analysis (TGA) and the resistance to bending was studied using the three-point bending test. Then, an artificial neural network approach was used to estimate the thermal degradation and flexural strengths of the polybenzoxazine matrix and its nanocomposites. The results of the TGA analysis showed that when Bi 2 O 3 content increased, the char yield (Y c ) of the nanocomposites also increased from 27.98% to 43.53% for the experimental data and from 27.95% to 43 0.57% for the prediction, with all SDs less than 0.02. Moreover, both the experimental and predicted values of the flexural strengths for the unfilled BA-a displayed 100.40 and 102.96 MPa, respectively and these values increased to 119.65 and 114.95 MPa when 10 wt % of fillers were incorporated into the matrix. However, for higher filler contents, 20 and 30 wt%, these values decreased to 112.94 and 108.01 MPa for the experiments, and 106.35 and 103.20 MPa for the prediction, respectively. The very small deviations (<0.05) between the experimental and predicted values demonstrated that the prediction approach using the artificial neural network is reliable and accurate.

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Characterization and Artificial Neural Networks Modelling of methylene blue adsorption of biochar derived from agricultural residues: Effect of biomass type, pyrolysis temperature, particle size

Cited by 57 publications

References 45 publications

An optimization study for bio-removal of lead from aqueous environments by alkali modified Polyporus Squamosus

An optimization study for bio-removal of lead from aqueous environments by alkali modified Polyporus Squamosus

Influences of Biochar on Bioremediation/Phytoremediation Potential of Metal-Contaminated Soils

Artificial neural network prediction of thermal and mechanical properties forBi₂O₃‐polybenzoxazinenanocomposites

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Characterization and Artificial Neural Networks Modelling of methylene blue adsorption of biochar derived from agricultural residues: Effect of biomass type, pyrolysis temperature, particle size

Cited by 57 publications

References 45 publications

An optimization study for bio-removal of lead from aqueous environments by alkali modified Polyporus Squamosus

An optimization study for bio-removal of lead from aqueous environments by alkali modified Polyporus Squamosus

Influences of Biochar on Bioremediation/Phytoremediation Potential of Metal-Contaminated Soils

Artificial neural network prediction of thermal and mechanical properties forBi2O3‐polybenzoxazinenanocomposites

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Product

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About

Artificial neural network prediction of thermal and mechanical properties forBi₂O₃‐polybenzoxazinenanocomposites