Aggregation‐Induced Enhancement of Deep‐UV Response in Indoloindole‐Based Organic Photodetectors

Abstract Organic photodetectors operating in the deep‐ultraviolet region are crucial for environmental monitoring, biomedical imaging, and sterilization systems. Two novel indolo[2,3‐ b ]indole derivatives with systematic alkyl chain variation: 5,6‐didodecyl‐5,6‐dihydroindolo[2,3‐ b ]indole ( ID23b‐C12 ) and 5,6‐dihexadecyl‐5,6‐dihydroindolo[2,3‐ b ]indole ( ID23b‐C16 ) are reported. Both compounds exhibit wide bandgaps (>3.5 eV), high thermal stability (decomposition temperature >410 °C), and form aggregates in water:THF mixtures with distinct morphological characteristics. Using simple planar FTO/molecule/FTO devices, films prepared from pre‐aggregated solutions achieve photoresponsivities of 32.5 mA W −1 ( ID23b‐C12 ) and 74.8 mA W −1 ( ID23b‐C16 ) at 254 nm under 2 V bias, representing 6.1 × and 20.8 × enhancements compared to molecularly dispersed films. Detectivity values reach 2.8 × 10 10 Jones and 1.3 × 10 1 1 Jones, respectively. This single‐component approach achieves performance competitive with complex donor‐acceptor heterojunctions, demonstrating solution‐state molecular organization as an effective strategy for efficient deep‐UV photodetection without elaborate device engineering.

Authors

Institutions

Publication Details

Journal
Advanced Optical Materials
Published
2025-12-30
DOI
https://doi.org/10.1002/adom.202502481
Primary Topic
Organic Electronics and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aggregation‐Induced Enhancement of Deep‐UV Response in Indoloindole‐Based Organic Photodetectors

Sheba Ann Babu, Avija Ajayakumar, Chakkooth Vijayakumar, Jubi John et al.
Advanced Optical Materials
Organic Electronics and Photovoltaics
article

Aggregation‐Induced Enhancement of Deep‐UV Response in Indoloindole‐Based Organic Photodetectors

Sheba Ann Babu, Avija Ajayakumar, Chakkooth Vijayakumar, Jubi John, Ramesh Sivasamy, Nerella Kavitha, Konrad Szaciłowski, Kizhakkumparamban Nishana, G. S. Suresh Kumar, Tomasz Mazur
article en

Abstract

Abstract Organic photodetectors operating in the deep‐ultraviolet region are crucial for environmental monitoring, biomedical imaging, and sterilization systems. Two novel indolo[2,3‐ b ]indole derivatives with systematic alkyl chain variation: 5,6‐didodecyl‐5,6‐dihydroindolo[2,3‐ b ]indole ( ID23b‐C12 ) and 5,6‐dihexadecyl‐5,6‐dihydroindolo[2,3‐ b ]indole ( ID23b‐C16 ) are reported. Both compounds exhibit wide bandgaps (>3.5 eV), high thermal stability (decomposition temperature >410 °C), and form aggregates in water:THF mixtures with distinct morphological characteristics. Using simple planar FTO/molecule/FTO devices, films prepared from pre‐aggregated solutions achieve photoresponsivities of 32.5 mA W −1 ( ID23b‐C12 ) and 74.8 mA W −1 ( ID23b‐C16 ) at 254 nm under 2 V bias, representing 6.1 × and 20.8 × enhancements compared to molecularly dispersed films. Detectivity values reach 2.8 × 10 10 Jones and 1.3 × 10 1 1 Jones, respectively. This single‐component approach achieves performance competitive with complex donor‐acceptor heterojunctions, demonstrating solution‐state molecular organization as an effective strategy for efficient deep‐UV photodetection without elaborate device engineering.

Advanced Optical MaterialsVol. 14(5)
National Institute for Interdisciplinary Science and Technology (IN), AGH University of Krakow (PL), Academy of Scientific and Innovative Research (IN)
Life in Land
Openalex Percentile: Top 41%
Organic Electronics and Photovoltaics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.