Gas Adsorption-Driven Electronic Modulation in WO3@Cu3(HHTP)2 Heterostructure: Mechanistic Origin of Selective Drift
Mohammad Jamir Ahemad1, Eunyoung Lee1,2, Chanyoung Kim1,3
1Institute of Advanced Composite Materials, Korea Institute of Science and Technology (KIST), Wanju, Jeollabuk-do, Republic of Korea.
Small (Weinheim an Der Bergstrasse, Germany)
|June 4, 2026
Summary
A novel WO3@Cu3(HHTP)2 nanocomposite enables ultra-low detection of formaldehyde, a harmful indoor air pollutant. This material offers high selectivity and rapid response at room temperature for improved air quality monitoring.
Area of Science:
- Materials Science
- Environmental Science
- Nanotechnology
Background:
- Formaldehyde is a toxic indoor air pollutant with severe health risks.
- Detecting formaldehyde at trace levels with high selectivity at room temperature is challenging.
- Chemiresistive semiconductor sensors are crucial for air quality monitoring.
Purpose of the Study:
- To develop a highly sensitive and selective room-temperature formaldehyde sensor.
- To engineer a heterointerface-based nanocomposite for enhanced gas sensing.
- To elucidate the mechanism behind the improved sensing performance.
Main Methods:
- Fabrication of a WO3@Cu3(HHTP)2 nanocomposite.
- Characterization of the nanocomposite's structure and electronic properties.
- Gas sensing experiments under various conditions, including DFT calculations.
Main Results:
- The WO3@Cu3(HHTP)2 sensor achieved an ultralow detection limit of ~48 ppb for formaldehyde.
- The sensor demonstrated rapid response/recovery times, high selectivity, and stability at room temperature.
- Synergistic interfacial effects and electronic structure modulation were confirmed as key to enhanced performance.
Conclusions:
- The developed WO3@Cu3(HHTP)2 nanocomposite offers a promising solution for sensitive and selective formaldehyde detection.
- Interfacial engineering of metal oxides with conductive metal-organic frameworks is a viable strategy for next-generation VOC sensors.
- This work provides a mechanistic understanding linking electronic structure tuning to gas sensing performance.
