Chirality-Endowed Hydrogen-Bonding Network Enabling Long-Range Order and Enhanced Ionic Conductivity for Room-Temperature Chemiresistive CO2 Sensing
High-performance room-temperature CO2 sensors are essential for noninvasive clinical diagnostics, yet achieving high sensitivity in metal-organic frameworks (MOFs) remains challenging due to restricted ionic conduction. Building upon our previous expertise in guest-ion-source assembly, a strategy is proposed to enhance ionic conductivity by constructing long-range order and stable hydrogen-bonding (H-bonding) networks via chiral molecular incorporation. D-Tryptophan (D-Trp) and L-tryptophan (L-Trp) were encapsulated within γ-CD-MOF cavities to serve as chiral ion sources, facilitating the creation of bioinspired anion channels. The results reveal that the superior sensing performance of γ-CD-MOF@D-Trp is attributed to host-guest chiral preference. D‑Trp achieves ordered molecular arrangement via steric hindrance regulation, constructing long‑range order H‑bonding networks to optimize ion hopping pathways and stable sensing channels. The resulting sensor achieves a high response (2.10 toward 1000 ppm CO2), a low practical limit of detection (pLOD) of 10 ppm, and good selectivity. In particular, this work presents superior stability among MOF‑based room-temperature chemiresistive CO2 sensors reported so far, still retaining approximately 90% of its initial value after 35 days. Crucially, the fabricated γ-CD-MOFs@D-Trp-based sensor is preliminarily capable of distinguishing the differences in exhaled CO2 concentration between healthy individuals and lung cancer patients.
Authors
- Renfeng Dong (ORCID: https://orcid.org/0000-0001-7590-5750)
- Dou Wang (ORCID: https://orcid.org/0000-0001-9098-0855)
- Guofu Zhou (ORCID: https://orcid.org/0000-0003-1101-1947)
- Hui Li (ORCID: https://orcid.org/0000-0001-9198-3951)
- Yue Wang (ORCID: https://orcid.org/0000-0003-0098-5359)
- Bin Zheng (ORCID: https://orcid.org/0009-0002-3011-9857)
- Xiaorui Yue
- Paddy J French
- Jiangnan Chang
- Yanan Guo
- Yifei Fan
- Honghao Chen
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Lingnan Normal University (CN)
- South China Normal University (CN)
- Chinese Academy of Sciences (CN)
- Shanghai Institute of Microsystem and Information Technology (CN)
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
- Guangzhou Medical University (CN)
- Delft University of Technology (NL)
Publication Details
- Journal
- ACS Sensors
- Published
- 2026-10-30
- DOI
- https://doi.org/10.1021/acssensors.6c02231
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Higher Education Discipline Innovation Project
- Guangdong Special Support Plan
- Basic and Applied Basic Research Foundation of Guangdong Province