Advanced applications of hydroxyapatite nanocomposite materials for heavy metals and organic pollutants removal by adsorption and photocatalytic degradation: A review

Chemosphere, Год журнала: 2024, Номер 358, С. 142236 - 142236

Опубликована: Май 3, 2024

Язык: Английский

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Advances on carbon nanomaterials and their applications in medical diagnosis and drug delivery

Colloids and Surfaces B Biointerfaces, Год журнала: 2024, Номер 241, С. 114032 - 114032

Опубликована: Июнь 13, 2024

Язык: Английский

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A comprehensive review of nanomaterials for efficient heavy metal ions removal in water treatment

Journal of Water Process Engineering, Год журнала: 2024, Номер 64, С. 105566 - 105566

Опубликована: Июнь 7, 2024

Язык: Английский

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A review of nanoparticle synthesis methods, classifications, applications, and characterization

Environmental Nanotechnology Monitoring & Management, Год журнала: 2023, Номер 20, С. 100900 - 100900

Опубликована: Ноя. 24, 2023

Язык: Английский

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Comprehensive insights into the application of graphene-based aerogels for metals removal from aqueous media: Surface chemistry, mechanisms, and key features

Advances in Colloid and Interface Science, Год журнала: 2024, Номер 335, С. 103338 - 103338

Опубликована: Ноя. 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.

Язык: Английский

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Nanomaterials for detection of biomolecules and delivering therapeutic agents in theragnosis: A review

International Journal of Biological Macromolecules, Год журнала: 2023, Номер 254, С. 127904 - 127904

Опубликована: Ноя. 6, 2023

Язык: Английский

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Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis

Frontiers in Medicine, Год журнала: 2025, Номер 12

Опубликована: Янв. 28, 2025

Objective To systematically map the knowledge landscape and development trends in artificial intelligence (AI) applications for antimicrobial resistance (AMR) research through bibliometric analysis, providing evidence-based insights to guide future directions inform strategic decision-making this dynamic field. Methods A comprehensive analysis was performed using Web of Science Core Collection database publications from 2014 2024. The integrated multiple approaches: VOSviewer visualization collaboration networks clusters, CiteSpace temporal evolution quantitative publication metrics. Key indicators including co-authorship patterns, keyword co-occurrence, citation impact were analyzed delineate patterns domain. Results collection 2,408 analyzed, demonstrating significant annual growth with increasing 4 549 2023 (22.7% total output). United States (707), China (581), India (233) leading contributors international collaborations. Chinese Academy Sciences (53), Harvard Medical School (43), University California San Diego (26) identified as top contributing institutions. Citation highlighted two major breakthroughs: AlphaFold’s protein structure prediction (6,811 citations) deep learning approaches antibiotic discovery (4,784 citations). Keyword six enduring clusters 2024: sepsis, neural networks, resistance, peptides, drug repurposing, molecular docking, sustained integration AI therapy development. Recent show application technologies traditional approaches, particularly MALDI-TOF MS pathogen identification graph large-scale screening. Conclusion This shows importance enhancing progress drugs especially toward fight against AMR. From fast, efficient predictive performance methods, current capabilities have revealed observable potential be proactive combating ever-growing challenge AMR worldwide. study serves not only an trends, but also, especially, offers a approach further investigations.

Язык: Английский

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Citrus sinensis assisted biogenic synthesis and physicochemical properties of Fe3O4 nanoparticles for antibacterial activity

Ceramics International, Год журнала: 2023, Номер 50(7), С. 10225 - 10231

Опубликована: Дек. 25, 2023

Язык: Английский

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Application and innovation of artificial intelligence models in wastewater treatment

Journal of Contaminant Hydrology, Год журнала: 2024, Номер 267, С. 104426 - 104426

Опубликована: Сен. 6, 2024

Язык: Английский

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Green nanomaterials: Synthesis and applications in wastewater treatment

Inorganic Chemistry Communications, Год журнала: 2023, Номер 158, С. 111584 - 111584

Опубликована: Окт. 12, 2023

Язык: Английский

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