Potential Using of Organic–Inorganic Hybrid Structures for Detection of Ionizing Radiations
5th DRD3 week on Solid State Detectors R&D, Geneve, İsviçre, 29 Haziran - 03 Temmuz 2026, ss.34-35, (Özet Bildiri)
- Yayın Türü: Bildiri / Özet Bildiri
- Basıldığı Şehir: Geneve
- Basıldığı Ülke: İsviçre
- Sayfa Sayıları: ss.34-35
- İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet
Özet
The integration of organic semiconductors into radiation detector technologies has attracted increasing interest due to their compatibility with low-cost fabrication methods, suitability for large-area applications, and inherent mechanical flexibility. Within this framework, the P3HT:ZnO matrix structure offers significant potential by integrating enhanced charge-transport properties with straightforward processability. Such hybrid structures are regarded as promising alternatives to conventional materials for the development of next-generation, low-cost X-ray detectors with relevance in healthcare, security, and industrial applications. In this work, composite active layers were fabricated by incorporating ZnO nanoparticles into a P3HT matrix at different doping ratios (1:0.25, 1:0.5, and 1:0.75). ZnO was selected owing to its high electron mobility, wide bandgap, and thermal stability. The nanoparticles were synthesized via the sol–gel method and integrated into P3HT, followed by the fabrication of resistive-type devices with interdigitated electrodes (IDT/P3HT:ZnO). The effect of ZnO nanoparticle concentration on the device performance was systematically investigated. Increasing ZnO content was found to facilitate electron transport and significantly enhance the sensitivity to X-rays. The device with a 1:0.75 P3HT:ZnO ratio demonstrated the most favorable performance, exhibiting the highest sensitivity (0.79 μGy/s) along with a rapid response. Electrical characterization revealed pronounced variations in the current response under different X-ray doses, confirming the active contribution of ZnO nanoparticles to the detection mechanism. This study was supported by TÜBİTAK, project number: 123F131.