Photoelectrochemical (PEC) water splitting provides a promising approach for solving sustainable energy challenges and achieving carbon neutrality goals. The oxygen evolution reaction (OER), a key bottleneck in the PEC water-splitting system occurring at the photoanode/electrolyte interface, plays a fundamental role in sustainable solar fuel production. Proper surface or interface engineering strategies have been proven to be necessary to achieve efficient and stable PEC water oxidation. This review summarizes the recent advances in interface engineering, including junction formation, surface doping, surface passivation or protection, surface sensitization, and OER cocatalyst modification, while highlighting the remarkable research achievements in the field of PEC water splitting. The benefits of each interface engineering strategy and how it enhances the device performance are critically analyzed and compared. Finally, the outlook for the development of interface engineering for efficient PEC water splitting is briefly discussed. This review illustrates the importance of employing rational interface engineering in realizing efficient and stable PEC water splitting devices.
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http://dx.doi.org/10.1039/d4cs00309h | DOI Listing |
Background: Genetic studies have established that loss of function SORL1 gene variants are associated with Alzheimer's disease (AD). SORL1 encodes an endosomal trafficking receptor, SORLA, which regulates endosomal protein recycling through its interaction with the retromer core complex (consisting of VPS26, VPS35 and VPS29). Deficits in the levels and function of the SORLA-retromer complex are thought to underlie AD.
View Article and Find Full Text PDFNanoscale
January 2025
Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
The highly anisotropic and nonadditive nature of nanoparticle surfaces restricts their characterization by limited types of techniques that can reach atomic or molecular resolution. While small-angle neutron scattering (SANS) is a unique tool for analyzing complex systems, it has been traditionally considered a low-resolution method due to its limited scattering vector range and wide wavelength spread. In this article, we present a novel perspective on SANS by showcasing its exceptional capability to provide molecular-level insights into nanoparticle interfaces.
View Article and Find Full Text PDFChem Sci
December 2024
College of Science, Engineering and Environment, University of Newcastle Callaghan NSW 2308 Australia.
The inductive effect is a central concept in chemistry and is often exemplified by the p values of acetic acid derivatives. The reduction in p is canonically attributed to the reduction in the electron density of the carboxylate group through the inductive effect. However, wave functional theory calculations presented herein reveal that the charge density of the carboxylate group is not explained by the inductive effect.
View Article and Find Full Text PDFBiomed Eng Lett
January 2025
Department of Biomedical Engineering, Seoul National University College of Medicine, 103 Daehak-ro, Jongno- gu, Seoul, 03080 Republic of Korea.
Unlabelled: With the advent of robot-assisted surgery, user-friendly technologies have been applied to the da Vinci surgical system (dVSS), and their efficacy has been validated in worldwide surgical fields. However, further improvements are required to the traditional manipulation methods, which cannot control an endoscope and surgical instruments simultaneously. This study proposes a speech recognition control interface (SRCI) for controlling the endoscope via speech commands while manipulating surgical instruments to replace the traditional method.
View Article and Find Full Text PDFBiomed Eng Lett
January 2025
School of Chemistry and Chemical Engineering, Tianjin University of Technology, Tianjin, 300384 People's Republic of China.
Brain-computer interface (BCI) has been widely used in human-computer interaction. The introduction of artificial intelligence has further improved the performance of BCI system. In recent years, the development of BCI has gradually shifted from personal computers to embedded devices, which boasts lower power consumption and smaller size, but at the cost of limited device resources and computing speed, thus can hardly improve the support of complex algorithms.
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