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The photocatalytic conversions of CO and HO offer a sustainable approach to provide methanol as a fuel and life-essential O. However, the reaction efficiency is challenged by charge recombination and sluggish reaction kinetics. This work synthesizes single-unit-cell MoS and organomanganese complex (MnBO) layers. The strong interaction between MoS and MnBO gives rise to an atomic-layered heterostructure (MnBO/MoS) with substantial electron transfer through the Mn-S bindings at the interface. This heterostructure achieves a methanol yield of 1.48 mmol g h with a selectivity of 99.7% at 50 °C and 0.1 MPa. The analysis reveals that the electron arrangement modulates the defect level in the band of MnBO/MoS and obtains polarized electrons at high potential, which not only enhances the lifetime of photogenerated charges but also reduces the barriers of CO activation and hydrogenation of *CHO toward methanol. Moreover, outdoor solar-driven measurements with a homemade panel reactor demonstrate a methanol production rate of 143.2 mmol m per day and a solar-to-methanol efficiency of 0.76% under ∼0.4 sunlight irradiation without secondary energy input.
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http://dx.doi.org/10.1021/acsnano.5c06341 | DOI Listing |
Inorg Chem
September 2025
College of Chemistry and Materials Science, The key Laboratory of Functional Molecular Solids, Ministry of Education, The Key Laboratory of Electrochemical Clean Energy of Anhui Higher Education Institutes, Anhui Provincial Engineering Laboratory for New-Energy Vehicle Battery Energy-Storage Materia
Conventional acid-catalyzed acetalization faces significant challenges in catalyst recovery and poses environmental concerns. Herein, we develop a CeO-supported Pd single-atom catalyst (Pd/CeO) that eliminates the reliance on liquid acids by creating a localized H-rich microenvironment through heterolytic H activation. X-ray absorption near-edge structure and extended X-ray absorption fine structure analyses confirm the atomic dispersion of Pd via Pd-O-Ce coordination, while density functional theory (DFT) calculations reveal strong metal-support interactions (SMSI) that facilitate electron transfer from CeO oxygen to Pd, downshifting the Pd d-band center and optimizing H activation.
View Article and Find Full Text PDFChaos
September 2025
School of Engineering, University of Applied Sciences of Western Switzerland HES-SO, CH-1950 Sion, Switzerland.
We investigate species-rich mathematical models of ecosystems. While much of the existing literature focuses on the properties of equilibrium fixed-points, persistent dynamics (e.g.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Chemistry, Indian Institute of Technology Kanpur, Kanpur, India.
We introduce a novel method using a kilohertz (kHz) amplified 800 nm laser for the first experimental confinement of microparticles within a single beam. This study demonstrates that high-energy kHz pulses can confine 1-μm-radius polystyrene beads in water within ∼26 μm. This approach utilizes the unique properties of high-energy pulsed lasers, distinct from continuous-wave and megahertz pulsed lasers traditionally used in optical trapping.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Chemistry, Zhejiang University, Hangzhou, Zhejiang Province 310027, China.
Sum-frequency generation vibrational spectroscopy (SFG-VS) has been well-established as a unique spectroscopic probe to interrogate the structure, interaction, and dynamics of molecular interfaces, with sub-monolayer sensitivity and broad applications. Sub-1 cm-1 High-Resolution Broadband SFG-VS (HR-BB-SFG-VS) has shown advantages with high spectral resolution and accurate spectral line shape. However, due to the lower peak intensity for the long picosecond pulse used in achieving sub-wavenumber resolution in the HR-BB-SFG-VS measurement, only molecular interfaces with relatively strong signal have been studied.
View Article and Find Full Text PDFBrief Bioinform
August 2025
State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian District, Beijing 100193, China.
The systematic identification of human-virus protein-protein interactions (PPIs) is a critical step toward elucidating the underlying mechanisms of viral infection, directly informing the development of targeted interventions against existing and emerging viral threats. In this work, we presented DeepGNHV, an end-to-end framework that integrated a pretrained protein language model with structural features derived from AlphaFold2 and leveraged graph attention networks to predict human-virus PPIs. In comparison to other state-of-the-art approaches, DeepGNHV exhibited superior predictive performance, especially when applied to viral proteins absent from the training process, indicating its strong generalization capability for detecting newly emerging virus-related PPIs.
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