Electrospinning was employed to fabricate polymer-ceramic composite fibers from solutions containing poly(vinyl pyrrolidone) (PVP), Ce(NO(3))(3) x 6H(2)O and ZrOCl(2) x 8H(2)O. Upon firing the composite fibers at 1000 degrees C, Ce(0.67)Zr(0.33)O(2) fibers with diameters ranging from 0.4 to 2 microm were synthesized. These fibers exhibit strong resistance to sintering. They still have specific surface area around 11.8 m(2)/g after being heated at 1000 degrees C for 6 h.
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http://dx.doi.org/10.1016/j.jcis.2006.12.048 | DOI Listing |
Heliyon
January 2025
Centre for Advanced Composite Materials (CACM) Universiti Teknologi Malaysia, 81310, Skudai, Johor Bahru, Johor, Malaysia.
Cellulose nanocrystals (CNCs) are a class of materials that have received significant attention in recent years due to their unique properties and potential applications. CNCs are extracted from plant fibers and possess high strength, stiffness, and biocompatibility, making them attractive materials for use in various fields such as biomedical engineering, renewable energy, and nanotechnology. This provides an in-depth discussion of the extraction, characterization, and promising applications of CNCs.
View Article and Find Full Text PDFBioact Mater
March 2025
School of Materials Science and Engineering, Beihang University, Beijing, 100191, PR China.
Through millions of years of evolution, bones have developed a complex and elegant hierarchical structure, utilizing tropocollagen and hydroxyapatite to attain an intricate balance between modulus, strength, and toughness. In this study, continuous fiber silk composites (CFSCs) of large size are prepared to mimic the hierarchical structure of natural bones, through the inheritance of the hierarchical structure of fiber silk and the integration with a polyester matrix. Due to the robust interface between the matrix and fiber silk, CFSCs show maintained stable long-term mechanical performance under wet conditions.
View Article and Find Full Text PDFMater Horiz
January 2025
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, People's Republic of China.
Given extremely high porosity, aerogels have demonstrated remarkable advantages in serving as thermal insulation and wave-transparent materials. Unfortunately, their practical applications are greatly confined by their inherent fragility. The recent emergence of polymer aerogels presents an ideal platform for the development of flexible aerogel films.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, PR China; State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin University of Science and Technology, Tianjin 300457, PR China. Electronic address:
Poly (lactic acid) (PLA) is a widely produced bio-based polymer known for its biodegradability and renewability, but its brittleness, low heat resistance, and weak mechanical properties limit its broader use. To address these challenges, TEMPO-oxidized cellulose nanofibers (TOCNF) were extracted from dissolving pulp using TEMPO oxidation and high-pressure homogenization. These TOCNF were modified with silane to reduce hydrophilicity and improve compatibility with PLA.
View Article and Find Full Text PDFComput Med Imaging Graph
January 2025
The SMART (Smart Medicine and AI-based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, China. Electronic address:
Parkinson disease (PD) is a prevalent neurodegenerative disorder, and its accurate diagnosis is crucial for timely intervention. We propose the PArkinson disease Denoising and Segmentation Network (PADS-Net), to simultaneously denoise and segment transcranial ultrasound images of midbrain for accurate PD diagnosis. The PADS-Net is built upon generative adversarial networks and incorporates a multi-task deep learning framework aimed at optimizing the tasks of denoising and segmentation for ultrasound images.
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