Bias-programmable linear-to-nonlinear photoresponse for filter-free single-pixel VIS–NIR discrimination
Abstract Filter-free discrimination of visible (VIS) and near-infrared (NIR) light within a single photodetector pixel remains challenging because conventional photodiodes typically require optical filters or multiple detector elements. This work reports a monolithic nonlinear back-to-back photodiode (NL-BPD) that enables bias-programmable reconfiguration between high-linear-dynamic-range (LDR) photodetection and nonlinear spectral-discrimination modes. By changing the bias from − 0.5 V to + 0.5 V, the device's initially independent linear responses in both VIS and NIR channels (LDRs ≥ 100 dB) evolve into a nonlinear regime in which the VIS response reverses polarity with increasing light intensity while the NIR response remains monotonic. This behavior is enabled by defect-assisted transport pathways formed through partial interfacial reactions between the highly conductive PEDOT:PSS interlayer and MAPbI 3 . Together with the optimized device architecture, this interfacial current-path engineering reduces resistive bottlenecks and promotes cooperative carrier extraction from both absorbers. The resulting electrical signatures allow mixed VIS–NIR signals to be decoded from a single electrical output without optical filters or spatially separated pixels. The NL-BPD enables accurate spectral reconstruction (average R 2 = 0.9996), demonstrates single-point pulse oximetry, and achieves > 96% accuracy in normalized-difference-vegetation-index-based vegetation health classification. These results establish bias-programmable nonlinear photodetection as an effective strategy for single-pixel multispectral sensing.
Authors
- Gun Young Jung (ORCID: https://orcid.org/0000-0003-1163-8651)
- Hyeonghun Kim (ORCID: https://orcid.org/0000-0002-2996-0393)
- Min Kyu Jeon
- Jaeyeon Kim (ORCID: https://orcid.org/0000-0002-0068-9026)
- Yong Geon Lee
- Jiyoon Shin
- Masroor Alam
Institutions
- Chonnam National University (KR)
- Agency for Science, Technology and Research (SG)
- Gwangju Institute of Science and Technology (KR)
Publication Details
- Journal
- Nano Convergence
- Published
- 2026-10-26
- DOI
- https://doi.org/10.1186/s40580-026-00585-7
- Primary Topic
- Perovskite Materials and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Gwangju Institute of Science and Technology
- Ministry of Science and ICT, South Korea