Localized Surface Plasmon Resonance-Based Gas Sensor with a Metal–Organic-Framework-Modified Gold Nano-Urchin Substrate for Volatile Organic Compounds Visualization
Volatile organic compound (VOC) monitoring is crucial for environmental safety and health, but conventional gas sensors often suffer from poor selectivity or lack spatial information. Here, we report a localized surface plasmon resonance (LSPR) gas sensor based on Au nano-urchins coated with a zeolitic imidazolate framework (ZIF-8) for both the quantitative detection and visualization of VOCs. Substrates were fabricated by immobilizing Au nano-urchins (~90 nm) on 3-aminopropyltriethoxysilane-modified glass and subsequently growing ZIF-8 crystals (~250 nm) for different durations. Scanning electron microscopy and optical analysis revealed that 90 min of ZIF-8 growth provided the optimal coverage and strongest plasmonic response. Using a spectrometer-based LSPR system, the optimized substrate exhibited clear, concentration-dependent responses to three representative VOCs, 2-pentanone, acetic acid, and ethyl acetate, over nine concentrations, with detection limits of 12.7, 14.5, and 36.3 ppm, respectively. Furthermore, a camera-based LSPR visualization platform enabled real-time imaging of gas plumes and evaporation-driven diffusion, with differential pseudo-color mapping providing intuitive spatial distributions and concentration dependence. These results demonstrate that ZIF-8-modified Au nano-urchin substrates enable sensitive and reproducible VOC detection and, importantly, transform plasmonic sensing into a visual modality, offering new opportunities for integrated LSPR-surface-enhanced Raman scattering dual-mode gas sensing in the future.
Authors
- Fumihiro Sassa (ORCID: https://orcid.org/0000-0002-3910-2931)
- Bin Chen (ORCID: https://orcid.org/0000-0003-1522-2039)
- Yan Jia (ORCID: https://orcid.org/0000-0001-8012-5097)
- Kenshi Hayashi (ORCID: https://orcid.org/0000-0001-8679-4953)
- Cong Wang (ORCID: https://orcid.org/0000-0001-7151-0436)
- Hao Guo (ORCID: https://orcid.org/0000-0002-3321-0106)
Institutions
- Kyushu University (JP)
- Southwest University (CN)
Publication Details
- Journal
- Sensors
- Published
- 2025-10-23
- DOI
- https://doi.org/10.3390/s25216522
- Citations
- 2
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.35