POS5-0960
Self-Validating Conjugated Polymer Nanowire Gas Sensors for Reliable Environmental NO₂ Monitoring
When and Where
Nov 30, -0001
00:00 - 00:00
Presenter(s)
Bum Hwan Kim (korea maritime and ocean university)
Co-Author(s)
Abstract
Conjugated polymer gas sensors are considered a promising candidate due to advantages over traditional semiconductor-based sensors, including material versatility, facile fabrication, and cost-effectiveness. Nonetheless, these sensors, particularly for detecting oxidizing gases, often exhibit inferior performance compared to conventional metal oxide gas sensors. And the sensing mechanisms and overall sensor performance of conjugated polymer also remain a challenge[1].
Here, we introduce a high-responsivity, high-sensitivity gas sensor based on a conjugated polymer nanostructure operable at room temperature. Unlike conventional spin-coating, which leads to uneven polymer distribution, nanopattern devices fabricated using a master mold induce backbone alignment in a defined orientation, significantly enhancing the charge transport that governs sensor performance[2]. Also, the nanowire-based sensor exhibits a more linear and predictable response across gas concentrations and under varying temperature and humidity. Leveraging this linearity, we develop a data-driven prediction algorithm that accurately estimates NO₂ concentration, and implement a self-validating system in which multiple independent devices back-calculate the concentration and re-expose to confirm the predicted value, establishing strong reliability for real-world environmental monitoring.
Acknowledgement
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS2022NR071808) and partially this research was supported by Korea Basic Science Institute (National research Facilities and Equipment Center) grant funded by Ministry of Education (grant No. 2022R1A6C101B738).
References
Here, we introduce a high-responsivity, high-sensitivity gas sensor based on a conjugated polymer nanostructure operable at room temperature. Unlike conventional spin-coating, which leads to uneven polymer distribution, nanopattern devices fabricated using a master mold induce backbone alignment in a defined orientation, significantly enhancing the charge transport that governs sensor performance[2]. Also, the nanowire-based sensor exhibits a more linear and predictable response across gas concentrations and under varying temperature and humidity. Leveraging this linearity, we develop a data-driven prediction algorithm that accurately estimates NO₂ concentration, and implement a self-validating system in which multiple independent devices back-calculate the concentration and re-expose to confirm the predicted value, establishing strong reliability for real-world environmental monitoring.
Acknowledgement
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS2022NR071808) and partially this research was supported by Korea Basic Science Institute (National research Facilities and Equipment Center) grant funded by Ministry of Education (grant No. 2022R1A6C101B738).
References
- P. Lin, F. Yan, Advanced Materials 24 (2012) 34–51.
- Z. Wang, L. Huang, X. Zhu, X. Zhou, L. Chi, Advanced Materials 29 (2017).
