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http://dx.doi.org/10.1091/mbc.E15-01-0011 | DOI Listing |
Talanta
September 2025
College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Shandong Sino-Japanese Center for Collaborative Research of Carbon Nanomaterials, Qingdao Application Technology Innovation Center of Photoelectric Biosensing for Clinical Diagnosis and Treatment, Instrument
Rational optimization of the pore size and topology of porous nanocarriers is crucial for improving the loading amount of luminophore and enhancing electrochemiluminescence (ECL) performance. In this study, an equimolar linear ligand replacement strategy was employed to synthesize novel mesoporous metal-organic frameworks (MOFs) for encapsulating Ru(bpy) (Ru@Zr MOFs) under room temperature without an acid modulator. Ingenious ligand substitution allows precise control of pore size, enabling encapsulation at the single-molecule level within mesoporous cages.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Department of Chemistry, Tsinghua University, Beijing 100084, P. R. China.
Although intelligent superwettability materials with tunable wettability have been extensively studied in oil-water separation, they still exhibit several limitations including singular dimension of response, nondurable surface modification, and inadequate on-demand separation capabilities. Herein, we propose an ingenious strategy that combines pH-responsive polymer and shape memory material to achieve intelligent dual-regulation of surface wettability and pore size. A porous double-regulated foam (DRF) is obtained by uniformly mixing epoxy resin with PMMA--PDEAEMA solution and one-piece curing it through salt template method.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
The heat dissipation of high-power chips places higher demands on the thermal conductivity () of polymer-based thermal interface materials (TIMs) to ensure the stable operation of the chips. However, the interfacial thermal resistance (ITR) greatly restricts further improvement. Herein, 1D multiwalled carbon nanotubes modified with carboxyl (CNTs-) were introduced to the aramid matrix via blade coating, and a strategy of the intrinsic interfacial interaction and synergistic orientation was ingeniously adopted to enhance thermal transport.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
Key Laboratory for Ultrafine Materials of Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, PR China; Engineering Research Center for Biomedical Materials of Ministry of Education, East China University of Science an
Interfacial compatibilization and optimization of processing technologies have long been effective strategies to enhance the properties of composite materials. In this study, to achieve a robust interfacial compatibility of modified starch and Poly(butylene adipate-co-terephthalate) (PBAT) and to enable the continuous film blowing of high-starch-content films, this study systematically investigated the effects of different processing technologies on the processability of high-starch-content modified starch (MS)/PBAT composites for blowing based on modifying starch with polyurethane prepolymer (PUP). Furthermore, high-starch-content MS/PBAT films were blown from corresponding MS/PBAT composites using a single-screw blown film machine.
View Article and Find Full Text PDFSensors (Basel)
August 2025
College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
To address the challenging problem of multi-scale inshore-offshore ship detection in synthetic aperture radar (SAR) remote sensing images, we propose a novel deep learning-based automatic ship detection method within the framework of compositional learning. The proposed method is supported by three pillars: context-guided region proposal, prototype-based model-pretraining, and multi-model ensemble learning. To reduce the false alarms induced by the discrete ground clutters, the prior knowledge of the harbour's layout is exploited to generate land masks for terrain delimitation.
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