The synthesis of mesostructured silica from a tetrahydrofuran (THF) based sol-gel was carried out in the channels of an anodic alumina membrane (AAM) using the evaporation induced self-assembly (EISA) method. The effect of channel surface chemistry on the orientation of the in-channel hexagonal mesostructure was studied by treating the channel walls. A variety of channel-surface modifications have been performed, including oxygen plasma treatment, atomic layer deposition (ALD) of pure alumina, and deposition of a hydrophobic monolayer. The in-channel mesostructures were characterized using transmission electron microscopy (TEM) and energy filtered TEM (EFTEM). It was found that these modifications control the concentration of anions at the channel surfaces, and consequently the orientation of the hexagonal mesostructure. Namely, high anion concentration at the channel surface induces the formation of the desired vertically aligned columnar hexagonal phase. A model to understand the effect of anions at the channel wall on the competition between mesostructure phase transformation and silica condensation is proposed. Finally, this study demonstrates that by judiciously modifying the chemistry at the channel walls the formation of desired orientations can be induced.
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http://dx.doi.org/10.1039/c3cp52033a | DOI Listing |
EJNMMI Radiopharm Chem
January 2025
Department of Nuclear Medicine and Medical Physics, Karolinska University Hospital, Stockholm, 171 76, Sweden.
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January 2025
School of Computer and Information Technology, Xinyang Normal University, Xinyang, Henan Province, 464000, P. R. China.
Accurate detection of surface defects on strip steel is essential for ensuring strip steel product quality. Existing deep learning based detectors for strip steel surface defects typically strive to iteratively refine and integrate the coarse outputs of the backbone network, enhancing the models' ability to express defect characteristics. Attention mechanisms including spatial attention, channel attention and self-attention are among the most prevalent techniques for feature extraction and fusion.
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January 2025
Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, 511442, P. R. China.
Surface electromyogram (sEMG) serves as a means to discern human movement intentions, achieved by applying epidermal electrodes to specific body regions. However, it is difficult to obtain high-fidelity sEMG recordings in areas with intricate curved surfaces, such as the body, because regular sEMG electrodes have stiff structures. In this study, we developed myoelectrically sensitive hydrogels via 3D printing and integrated them into a stretchable, flexible, and high-density sEMG electrodes array.
View Article and Find Full Text PDFChem Asian J
January 2025
Chinese Academy of Sciences Fujian Institute of Research on the Structure of Matter, State Key Laboratory of Structural Chemistry, CHINA.
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View Article and Find Full Text PDFAnal Chim Acta
February 2025
Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University) Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing, PR China. Electronic address:
Background: Sensitive and accurate detection of important cancer markers MicroRNAs (miRNAs) is critical to prevent and treat disease. Among many detection techniques, surface-enhanced Raman scattering(SERS) has attracted much attention due to its advantages such as narrow spectral peak, low interference and non-destructive detection. Interestingly, non-noble metal SERS substrates show good prospects due to their outstanding spectral reproducibility and biocompatibility.
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