ArticleNature communications2018
Bio-inspired nano-traps for uranium extraction from seawater and recovery from nuclear waste.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
What it found
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Who cites it
47 citing papers in PubMed, 466 citations in OpenAlex.
- Visualizing Reversible Uranyl (UOSmall science · 2026Article
- Horizontally arranged covalent organic framework nanowires on poly(amidoxime) fibers for high-efficiency uranium capture.Nature communications · 2026Article
- Additive-free and brine-discharge-free solar-thermal desalination with simultaneous complete mineral mining from ocean water.Light, science & applications · 2026Article
- Mechanochemical synthesis of pincer nanotraps for efficient rhodium recovery.Nature communications · 2026Article
- Promising porous materials for uranium extraction from seawater.Fundamental research · 2026Review
- Designing self-adaptative cyclized polyacrylonitrile-polyethyleneimine conjugates enhance uranium extraction from natural seawater.Nature communications · 2025Article
- Creating electrochemical accessibility in covalent organic frameworks for uranium extraction via electrodeposition.Nature communications · 2025Article
- Protein with twin binding sites for uranium extraction from seawater.National science review · 2025Article
- The potential of TiScientific reports · 2024Article
- Ultra-highly efficient enrichment of uranium from seawater via studtite nanodots growth-elution cycle.Nature communications · 2024Article
- High-Efficiency Adsorption of Uranium from Wastewater Using Graphene Oxide/Graphene Oxide Nanoribbons/Chitosan Nanocomposite Aerogels.ACS omega · 2024Article
- Ultra-selective uranium separation by in-situ formation of π-f conjugated 2D uranium-organic framework.Nature communications · 2024Article
- Sulfonic-Pendent Vinylene-Linked Covalent Organic Frameworks Enabling Benchmark Potential in Advanced Energy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Article
- Study on adsorption of hexavalent chromium by composite material prepared from iron-based solid wastes.Scientific reports · 2023Article
- Hafnium(IV) Chemistry with Imide-Dioxime and Catecholate-Oxime Ligands: Unique {HfInorganic chemistry · 2022Article
- Unexpectedly efficient ion desorption of graphene-based materials.Nature communications · 2022Article
- Ultrasensitive point-of-care biochemical sensor based on metal-AIEgen frameworks.Science advances · 2022Article
- Effects of High Gamma Doses on the Structural Stability of Metal-Organic Frameworks.Langmuir : the ACS journal of surfaces and colloids · 2022Article
- Multi-scale computer-aided design and photo-controlled macromolecular synthesis boosting uranium harvesting from seawater.Nature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nature can efficiently recognize specific ions by exerting second-sphere interactions onto well-folded protein scaffolds. However, a considerable challenge remains to artificially manipulate such affinity, while being cost-effective in managing immense amounts of water samples. Here, we propose an effective approach to regulate uranyl capture performance by creating bio-inspired nano-traps, illustrated by constructing chelating moieties into porous frameworks, where the binding motif's coordinative interaction towards uranyl is enhanced by introducing an assistant group, reminiscent of biological systems. Representatively, the porous framework bearing 2-aminobenzamidoxime is exceptional in sequestering high uranium concentrations with sufficient capacities (530 mg g
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.