POS8-0531
Development of a Real-Time, Non-Contact Photothermal Characterization Platform Featuring Integrated Accurate Temperature Measurement and Thermal Imaging
Topic
S8. Frontiers of Functional Polymers in Biology and Medicine
When and Where
Oct 1, 2026
08:30 - 09:30
Room 301 (Grand Ballroom)
Session Chairs
Jinkee HONG
Ki Su KIM
Presenter(s)
Dohyun Kim (Pukyong National University)
Co-Author(s)
Abstract
Efficient photothermal characterization fundamentally relies on the simultaneous acquisition of accurate temperature profiles and spatial thermal imaging. However, conventional setups often fail to integrate these two crucial components into a single, real-time monitoring system. To address this limitation, we developed a real-time, non-contact platform that simultaneously and accurately unifies an Arduino UNO R4-based temperature-sensing module with a Raspberry Pi-based thermal imaging system. A custom 3D-printed fixture was designed to maintain consistent positioning of both sensors and samples, significantly improving reproducibility. The platform delivers synchronized, real-time tracking of precise temperature data alongside high-resolution thermal images, supported by automated data processing and Python-based experimental control. To validate the platform, an IR788 semi-interpenetrating network (sIPN) in a water-in-oil (W/O) emulsion was employed as a model photothermal material. Upon 808 nm laser irradiation, the sensor-measured accurate temperatures closely matched the localized data from the thermal images, confirming the platform's exceptional reliability and cross-validation capabilities. These results demonstrate that the proposed system enables highly reproducible, non-contact, and fully integrated dual-mode thermal monitoring for advanced photothermal characterization.
