The application of artificial neural network (ANN) to validate biosorption of Zn +2 ions onto chemically modified Hevea brasiliensis sawdust DOI
Swarup Biswas, Bibhab Kumar Lodh, Manojit Roy

et al.

Journal of Dispersion Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10

Published: Dec. 13, 2024

The study examined the biosorption of Zn+2 by chemically modified Hevea brasiliensis sawdust using a batch adsorption system. influence concentration, pH, contact time, and adsorbent dose in process were analyzed maximum uptake capacity was found as 36.8 mg/g. Langmuir Temkin model to be most accurate when experimental data different isotherms models. This presents an modeling approach for based on artificial neural networks (ANN). Data from experiments utilized train validate ANN model. can effectively represent process, demonstrated significant correlation (R2 = 0.998) established between data. A kinetic revealed that favored pseudo-first-order pseudo-second-order is feasible, spontaneous, endothermic, according thermodynamic study. H. underwent chemical carbonization, its characteristics energy EDX, BET surface area analyzer, SEM, XRD, FTIR.

Language: Английский

Comprehensive insights into the application of graphene-based aerogels for metals removal from aqueous media: Surface chemistry, mechanisms, and key features DOI Creative Commons
Abdelnasser Abidli, Zeineb Ben Rejeb, Aniss Zaoui

et al.

Advances in Colloid and Interface Science, Journal Year: 2024, Volume and Issue: 335, P. 103338 - 103338

Published: Nov. 14, 2024

Efficient removal of heavy metals and other toxic metal pollutants from wastewater is essential to protect human health the surrounding vulnerable ecosystems. Therefore, significant efforts have been invested in developing practical sustainable tools address this issue, including high-performance adsorbents. In respect, within last few years, graphene-based aerogels/xerogels/cryogels (GBAs) emerged drawn attention as excellent materials for removing recovering harmful valuable different aqueous media. Such an upward trend mainly due features aerogel combined with properties graphene derivatives aerogel's network, GBAs' unique three-dimensional (3D) porous structure, high porosity, low density, large specific surface area, exceptional electron mobility, adjustable rich chemistry, remarkable mechanical features, tremendous stability. This review offers a comprehensive analysis fundamental aspects phenomena related application GBAs removal. Herein, we cover all types (bottom-up) synthesized GBAs, true microporous aerogels well 3D open-cell interconnected mesoporous macroporous aerogels, foams, sponges. Indeed, provide insights into understanding suitability such important by revealing mechanisms involved factors inducing controlling highly selective behavior these distinctive Besides conventional adsorptive pathways, critically analyzed ability electrochemically capture (i.e., electrosorption) their efficiency detoxification through reductive adsorption-reduction-readsorption). We also covered reusability aspect (GAs)-based adsorbents, which strongly linked outstanding stability efficient desorption captured metals. Furthermore, view numerous environmental benefits, development magnetically recoverable GAs highlighted. Moreover, shed light on potential scalable implementation evaluating performance continuous processes while highlighting versatility demonstrated remove multiple contaminants along Finally, provides readers accessible overview critical discussion major recent achievements regarding applications GAs-based adsorbents ions Along our recommendations suggestions future work new research directions opportunities, aims serve resource researchers field treatment inspire further progress towards next-generation expanding application.

Language: Английский

Citations

9

A thorough investigation into the adsorption behavior of sophorolipid-modified fly ash towards compound pollution of lead and tetracycline DOI

Pengyu Ren,

Lu Wang,

Tianhai Ma

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 947, P. 174679 - 174679

Published: Oct. 1, 2024

Language: Английский

Citations

6

Quaternization of lignin hydrochar integrated with vertically oriented alginate aerogel toward ReO4− removal: Performance and mechanism DOI

Xindi He,

Kairuo Zhu,

Ziying Jiang

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: 304, P. 140812 - 140812

Published: Feb. 8, 2025

Language: Английский

Citations

0

High performance three-dimensional graphene nanomaterials for environmental remediation–water purification, gas separation, gaseous pollutant sensing DOI Creative Commons
Ayesha Kausar

Essential Chem, Journal Year: 2025, Volume and Issue: 2(1), P. 1 - 20

Published: March 3, 2025

Language: Английский

Citations

0

Three-dimensional graphene nanocomposites for clean environmental applications DOI
Ayesha Kausar

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 173 - 199

Published: Jan. 1, 2025

Language: Английский

Citations

0

The application of artificial neural network (ANN) to validate biosorption of Zn +2 ions onto chemically modified Hevea brasiliensis sawdust DOI
Swarup Biswas, Bibhab Kumar Lodh, Manojit Roy

et al.

Journal of Dispersion Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10

Published: Dec. 13, 2024

The study examined the biosorption of Zn+2 by chemically modified Hevea brasiliensis sawdust using a batch adsorption system. influence concentration, pH, contact time, and adsorbent dose in process were analyzed maximum uptake capacity was found as 36.8 mg/g. Langmuir Temkin model to be most accurate when experimental data different isotherms models. This presents an modeling approach for based on artificial neural networks (ANN). Data from experiments utilized train validate ANN model. can effectively represent process, demonstrated significant correlation (R2 = 0.998) established between data. A kinetic revealed that favored pseudo-first-order pseudo-second-order is feasible, spontaneous, endothermic, according thermodynamic study. H. underwent chemical carbonization, its characteristics energy EDX, BET surface area analyzer, SEM, XRD, FTIR.

Language: Английский

Citations

0