Enhanced sub-1 eV detection in organic photodetectors through tuning polymer energetics and microstructure.

Polina Jacoutot, Alberto D. Scaccabarozzi, Davide Nodari, Julianna Panidi, Zhuoran Qiao, Andriana Schiza, Alkmini D Nega, Antonia Dimitrakopoulou-Strauss, Vasilis G Gregoriou, Martin Heeney, Christos L. Chochos, Artem A Bakulin, Nicola Gasparini

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


One of the key challenges facing organic photodiodes (OPDs) is increasing the detection into the infrared region. Organic semiconductor polymers provide a platform for tuning the bandgap and optoelectronic response to go beyond the traditional 1000-nanometer benchmark. In this work, we present a near-infrared (NIR) polymer with absorption up to 1500 nanometers. The polymer-based OPD delivers a high specific detectivity D* of 1.03 × 1010 Jones (-2 volts) at 1200 nanometers and a dark current Jd of just 2.3 × 10-6 ampere per square centimeter at -2 volts. We demonstrate a strong improvement of all OPD metrics in the NIR region compared to previously reported NIR OPD due to the enhanced crystallinity and optimized energy alignment, which leads to reduced charge recombination. The high D* value in the 1100-to-1300-nanometer region is particularly promising for biosensing applications. We demonstrate the OPD as a pulse oximeter under NIR illumination, delivering heart rate and blood oxygen saturation readings in real time without signal amplification.
Original languageEnglish (US)
Issue number23
StatePublished - Jun 7 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-06-09
Acknowledgements: C.L.C., V.G.G., A.D.-S., A.N., and A.D.S. would like to thank the Helmholtz European partnering program for the cooperation between German Cancer Research Center (DKFZ) and National Hellenic Research Foundation (NHRF) to build the Athens Comprehensive Cancer Center (ACCC) for the financial support. A.A.B. and P.J. thank Royal Society for support via URF grant. P.J. thanks Optoelectronics group (University of Cambridge) for providing access to the GA script in MATLAB.


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