Rapid Quantitative Detection of Dye Concentration in Pt/TiO2 Photocatalytic System Based on RGB Sensing
This article presents an integrated strategy that couples high-efficiency photocatalytic degradation with low-cost, rapid detection to overcome the main drawbacks of conventional TiO<sub>2</sub>-based photocatalysts, including a weak visible-light response, rapid charge-carrier recombination, and reliance on expensive instrumentation for dye concentration detection. Platinum-decorated TiO<sub>2</sub> (Pt/TiO<sub>2</sub>) was prepared by photoreduction deposition, and systematic characterization confirmed the successful loading of zero-valent Pt nanoparticles onto the TiO<sub>2</sub> surface, significantly improving charge separation and extending absorption into the visible region. Methylene blue degradation was quantified under ultraviolet (UV) and simulated sunlight; radical-scavenging tests clarified the reaction pathway. In parallel, smartphone images of the reaction mixture were processed in ImageJto extract red-green-blue (RGB) values, which were related to dye concentration through a partial least-squares (PLS) model validated against reference UV-Vis data. Pt/TiO<sub>2</sub> removed 95.0% of methylene blue within 20 min of UV irradiation and 90.2% within 160 min of simulated sunlight-31.8% and 19.1% faster, respectively, than pristine TiO<sub>2</sub>. The RGB-based PLS model achieved a coefficient of determination (R<sup>2</sup>) of 0.961 for the prediction set. By integrating photocatalysis with smartphone-based colorimetry, the proposed method enables rapid monitoring of organic dyes concentration, providing an intelligent and economical platform for industrial wastewater treatment.
Authors
- Cuiyan Han
- Baolin Zhu (ORCID: https://orcid.org/0000-0001-9544-5982)
- Yang Liu (ORCID: https://orcid.org/0000-0002-8993-5771)
- Cheng Guo (ORCID: https://orcid.org/0000-0002-9527-4439)
- Fu Yang (ORCID: https://orcid.org/0000-0003-4435-6167)
- Shuqi Liu (ORCID: https://orcid.org/0000-0002-5483-7282)
- J. J. Cui (ORCID: https://orcid.org/0009-0001-9936-3017)
- Ziao Wang (ORCID: https://orcid.org/0000-0001-9839-9619)
Institutions
- Nankai University (CN)
- Jiangsu Vocational College of Medicine (CN)
Publication Details
- Journal
- Sensors
- Published
- 2025-05-19
- DOI
- https://doi.org/10.3390/s25103195
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00