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Self-Assembling Hole-Transport Molecules Enable Photomultiplication-Type Organic Photodetectors with High Detectivity and Enhanced Environmental Stability.

Created on 09 Sep 2026

Authors

Guohua Xu, Guohua Wang, Zijin Zhao, Yao Ma, Ergang Wang, Qiaonan Chen, Liang Shen

Published in

ACS applied materials & interfaces. Sep 09, 2026. Epub Sep 09, 2026.

Abstract

Photomultiplication-type organic photodetectors (PM-OPDs) have attracted significant attention for their high gain and simplified device architecture. However, their practical application is severely constrained by the high dark current density inherent to charge injection-type multiplication mechanisms, which compromises specific detectivity (D*), as well as the poor environmental stability associated with conventional acidic and hygroscopic interlayers. Herein, we demonstrate that replacing the conventional PEDOT:PSS hole-transport layer with a self-assembled monolayer of 1F-2PACz not only dramatically suppresses dark current but also significantly enhances device robustness. In PM-OPDs with a P3HT:PC71BM (100:1, w/w) active layer, the 1F-2PACz-modified devices effectively suppress electron back-injection owing to the high work function and electron-blocking lowest unoccupied molecular orbital level of 1F-2PACz, exhibiting a dark current one order of magnitude lower than PEDOT:PSS-based counterparts, resulting in a high specific detectivity exceeding 1013 Jones. Mechanistic investigations reveal that 1F-2PACz facilitates faster hole extraction and mitigates interfacial trap-mediated recombination. Crucially, the hydrophobic nature of the fluorinated carbazole moiety endows the devices with superior water resistance and long-term stability; the device maintains stable performance after direct water immersion for 30 min and continuous storage for 60 days. This work demonstrates that self-assembling hole-transport molecules provide a robust strategy for simultaneously achieving high gain, low noise, and excellent stability in PM-OPDs.

PMID:
42711761
Bibliographic data and abstract were imported from PubMed on 09 Sep 2026.

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