Science China Chemistry, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 12, 2024
Language: Английский
Science China Chemistry, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 12, 2024
Language: Английский
The Journal of Physical Chemistry C, Journal Year: 2024, Volume and Issue: 128(33), P. 13651 - 13665
Published: Aug. 12, 2024
Fundamental understanding of the key species during electrochemical reaction process is vital importance to mechanistic investigation and catalyst design heavily relies on experimental observations. The in situ Raman technique regarded as a powerful tool address this challenge, its collected signals can spectroscopically fingerprint related details track their dynamic evolution. In Perspective, we provide an overview recent developments about characterizations for reactions. We exemplify merits spectroscopic monitoring surface structure reconstruction intermediate evolution at electrified interface electrocatalyst hosts. also discuss how interpret underlying mechanism accordance with end, present future perspectives cordially anticipate more insightful contribution sustainable research fields including electrocatalysis, spectroelectrochemistry, beyond.
Language: Английский
Citations
5Chemistry - Methods, Journal Year: 2025, Volume and Issue: unknown
Published: May 2, 2025
The electrocatalytic CO 2 reduction reaction (eCO RR) offers a promising pathway for converting greenhouse gases into valuable fuels and chemicals using renewable energy. Beyond advancements in catalyst electrolyzer design, significant opportunities lie the strategic modulation of gas–liquid–solid three‐phase interface (TPI) on surface. After revisiting evolution from traditional liquid–solid double‐phase interfaces to advanced TPIs, this concept outlines major challenges constructing stable TPIs eCO RR gas diffusion electrodes reviews recent progress TPI through hydrophobicity enhancement. Further, achieving delicate balance between hydrophilicity—optimal wettability—is crucial optimizing construction, enhancing overall performance is emphasized. This work provides insights designing efficient other gas‐involved electrochemical processes, contributing sustainable energy technologies.
Language: Английский
Citations
0Journal of the American Chemical Society, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 19, 2024
Selective electrocatalytic transformation of alcohols to aldehydes offers an efficient and environmentally friendly platform for the simultaneous production fine chemicals pure hydrogen gas. However, traditional alcohol oxidation reactions (AORs) in aqueous electrolyte unavoidably face competitive (e.g., water overoxidations reactions) presence active oxygen species from oxidation, causing unwanted decrease final efficiency selectivity. Here, we developed integrated all-solid proton generator-transfer electrolyzer trigger splitting reaction (ASR). In this process, only O-H C-H bonds can be cleaved at generator (Pt nanoparticles), thereby completely avoiding all involving give a > 99% selectivity aldehydes. The as-generated protons are transported cathode by three-dimensional (3D) conducting network (assemblies ionomers carbon spheres) production. Unlike poor (<22%) durability (<3 h) conventional AOR electrolyzer, ASR could continuously operated low cell voltage 1.2 V least 10 days high Faradaic 80-93% aldehyde
Language: Английский
Citations
3Chemical Communications, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
The electrochemical oxidation of benzyl alcohol and its derivatives has gained significance as a key anode reaction, offering an alternative to the oxygen evolution reaction (OER) for hydrogen (H 2 ) production carbon dioxide (CO reduction.
Language: Английский
Citations
0ACS Omega, Journal Year: 2025, Volume and Issue: 10(12), P. 12717 - 12723
Published: March 19, 2025
Interpreting spectral data to analyze the structure and properties of unknown chemicals requires a lot time effort. Herein, we developed machine-learning model that simultaneously trains on multiple spectroscopic identify functional groups compounds more accurately quickly. An artificial neural network trained Fourier-transform infrared, proton nuclear magnetic resonance, 13C resonance together identified 17 with macro-average F1 score 0.93, outperforming using single type spectroscopy. The results indicated training can provide accurate structural analysis when analyzing chemicals, as spectroscopy methods simultaneously.
Language: Английский
Citations
0Small, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 23, 2024
Abstract The development of fuel cells and metal‐air batteries is an important link in realizing a sustainable energy supply green environment for the future. Oxygen reduction reaction (ORR) core such conversion devices. M–N–C catalysts exhibit encouraging ORR catalytic activity are most promising candidates replacing Pt/C. electrocatalytic performance intimately related to specific metal species coordination central atom. Axial engineering presents avenue highly active has seen considerable progress over past decade. Nevertheless, accurate control electronic structure at atomic scale poses big challenge. Herein, diverse axial ligands, characterization techniques, modulation mechanisms encompassed discussed. Furthermore, some pressing matters be solved challenges that deserve explored investigated future proposed.
Language: Английский
Citations
3Science China Chemistry, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 12, 2024
Language: Английский
Citations
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