Advanced Optimization of Optical Carbon Dioxide Sensor Through Sensitivity Enhancement in Anodic Aluminum Oxide Substrate
The current research developed an optical carbon dioxide (CO<sub>2</sub>) sensor using anodized aluminum oxide (AAO) as the substrate. We developed an optical carbon dioxide (CO<sub>2</sub>) sensor utilizing CdSe/ZnS quantum dots (QDs) as the fluorescent dye and Phenol Red as the pH indicator. The QDs acted as the CO<sub>2</sub>-responsive fluorophore and were embedded in a polyimide butyl methacrylate (polyIBM) matrix. This sensing solution was applied to an anodized aluminum oxide (AAO) substrate, which provided a porous and stable platform for sensor fabrication. Photoluminescence measurements were conducted using the coated AAO substrate, with excitation from a 405 nm LED light source. The sensor exhibited red fluorescence emission at 570 nm and could detect CO<sub>2</sub> concentrations in the linear range of 0-100%. Experimental results showed that fluorescence intensity increased with CO<sub>2</sub> concentration, achieving a sensitivity of 211. A wavelength shift of 0.1657 nm/% was observed, indicating strong interactions among CO<sub>2</sub> molecules, Phenol Red, and the QDs within the AAO matrix. The sensor demonstrated a response time of 55 s and a recovery time of 120 s. These results confirm the effectiveness of this optical sensing approach in minimizing fluctuations from the excitation light source and highlight the potential of the AAO-supported QDs and Phenol Red composite as a reliable CO<sub>2</sub> sensing material. This advancement holds promise for applications in both medical and industrial fields.
Authors
- Cheng-Shane Chu (ORCID: https://orcid.org/0000-0002-9072-1383)
- Rispandi
- Manna Septriani Simanjuntak
Institutions
- Ming Chi University of Technology (TW)
- Andalas University (ID)
Publication Details
- Journal
- Polymers
- Published
- 2025-05-24
- DOI
- https://doi.org/10.3390/polym17111460
- Citations
- 2
- Primary Topic
- Anodic Oxide Films and Nanostructures
- Type
- article
- Field-Weighted Citation Impact
- 1.04
Funders
- Universitas Andalas
- Ming Chi University of Technology