In this paper, a template-filling method was found to prepare composition gradient gelatin films by incorporating α-[3-(2,3-epoxypropoxy) propyl]-ω-butyl-polydimethylsiloxane (PDMS⁻E) grafted gelatin (PGG) into a gradient gelatin mesh template. The method can be used to prepare other composition gradient biopolymer films. Gradient mesh template prepared by the methacrylic anhydride cross-linked gelatin under temperature gradient field. The porosity of the template decreased from 89 to 35% which was accompanied by decrease in average pore size from 160 to 50 µm. Colloidal particles about 0.9~10 µm were formed from PGG after adding them to a mixed solvent system of 9:1 (/) of ethanol/water, which were filled in the mesh template under vacuum (0.06 MPa). A gradient film was obtained after drying at room temperature for 48 h. The results of scanning electron microscope-energy dispersive X-ray combined with freezing microtome and Fourier transform infrared spectroscopy suggested that the distribution of the Si element along the thickness showed a typical gradient pattern, which led to hydrophilic/hydrophobic continuous changing along the thickness of film. The water vapor permeability, thermal gravimetric analysis, differential scanning calorimetry and dynamic mechanical tensile results show that the gradient films had excellent water vapor permeability and flexibility, and hence could be used as biomimetic materials and leather finishing agents.
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http://dx.doi.org/10.3390/polym10060677 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Institute of Medical Informatics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.
Purpose: Lung fissure segmentation on CT images often relies on 3D convolutional neural networks (CNNs). However, 3D-CNNs are inefficient for detecting thin structures like the fissures, which make up a tiny fraction of the entire image volume. We propose to make lung fissure segmentation more efficient by using geometric deep learning (GDL) on sparse point clouds.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Key Laboratory of Textile Fiber and Products, Ministry of Education, Hubei International Scientific and Technological Cooperation Base of Intelligent Textile Materials & Application, Wuhan Textile University, Wuhan 430200, China.
Constructing a nanofibrous membrane with high flow rate surface pore structure and high-density ligand chemical structure is a promising strategy to balance the trade-off between high flow rates and high adsorption capacity for protein separation and purification. Herein, a nanofiber-based ion-exchange chromatography membrane with a periodic diagonal surface structure and high ionic strength ligands was fabricated using dispersion cross-linking, wet coating, and template printing with a three-wire diagonal woven mesh. For this membrane, EVOH nanofibers were used as skeleton, glutaraldehyde (GA) as cross-linking agent, and quaternized chitosan (QCS) as binder and functional ligand.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
School of Materials and Energy, University of Electronic Science & Technology of China, Chengdu 610054, China. Electronic address:
The anodic oxygen evolution reaction (OER) process is essential in new technologies such as water electrolysis and metal-air batteries. However, it often exhibits suboptimal efficiency and delayed kinetics. This study presents a novel and new design for the fabrication of homogeneous FeNiBTC/SSM (SSM = stainless steel material) with tunable crystalline properties by a self-sacrificial and in situ synthesis from a recycled stainless steel substrate.
View Article and Find Full Text PDFThis paper presents a production-oriented 4D facial reconstruction pipeline designed to produce high-fidelity facial mesh sequences with a consistently structured topology, while preserving the wireframe structure specified by artists. We have designed and developed a compact, efficient, and fast optical capture system based on synchronized camera arrays for high-precision dynamic 3D facial imaging. Unlike prevailing methods that primarily concentrate on single-frame reconstruction, often reliant on labor-intensive manual annotation, our framework exploits the constraint of appearance consistency to autonomously establish feature correspondence and uphold temporal coherence within the mesh.
View Article and Find Full Text PDFComput Biol Med
December 2024
School of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, Kakryal, 182320, Jammu and Kashmir, India. Electronic address:
3D volume construction of the maxillary sinus is important for understanding the 3D surface morphology of the maxillary sinuses and detecting changes or obstruction in sinuses. It is important to detect the pathological conditions affecting the sinuses and to determine the treatment outcomes. The cases of sinusitis and various other pathoses in maxillary sinuses are getting comparatively higher than in other sinuses.
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