Related Experiment Video
Updated: Aug 14, 2026

Solar-Driven Electrochemical Green Fuel Production from CO2 and Water Using Ti3C2Tx MXene-Supported CuZn and NiCo Catalysts
Published on: November 7, 2025
Nitrogen-Doped Carbon Nanofibers Embedded with CuOx/TiO2 for ppb-Level H2 Sensing at Room Temperature for Potential
Chaofan Ma1, Huiyu Su1, Zhongneng Liu1,2
1The State Key Laboratory of Materials and Processing Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan430074, People's Republic of China.
Abstract:
It is crucial to detect hydrogen (H2) release from battery packs to provide early warning of battery thermal runaway. In this article, the hollow octahedral CuOx/TiO2 were prepared using an efficient MOF template strategy, and nitrogen (N) -doped carbon (C) nanofibers embedded with CuOx/TiO2 were designed by electrospinning, which were CuOx/TiO2@NCFs. The hollow heterojunctions (CuOx/TiO2) formed based on MOF templates can reduce the recombination rate of carriers in TiO2, and DFT calculations reveal charge transfer occurring at the heterojunction, with a substantial migration of electrons from TiO2 to CuO, significantly enhancing the ability of TiO2 surface to adsorb H2. Simultaneously, the nanofibers composed of CuOx/TiO2 and PAN contain substantial amounts of nitrogen and carbon. The introduced N atoms can activate the adjacent C atoms, the 3D framework constructed from N-doped C nanofibers exhibits extremely strong electron transport capability. At the optimal TiO2:PAN ratio of 4.0:1, the sensor achieves the response of 48% toward 10 ppm H2, and can detect as low as 20 ppb H2 at room temperature, which is a potential competitive candidate for monitoring LIBs thermal runaway.
More Related Videos
08:42In Situ Gas Analysis and Fire Characterization of Lithium-Ion Cells During Thermal Runaway Using an Environmental Chamber
Published on: March 31, 2023
11:25Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
Published on: March 7, 2022