ArticleNature photonics2026
Self-Organized Nanoplasmonic Artificial Leaf for Hot-Carrier Bioelectronic Interfaces.
Article in Nature photonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
31 authors.
Funding
Abstract
Without discrete pixels or wired leads, natural plant leaves respond to light and relay electrochemical signals to surrounding tissues through nanoscale chlorophyll-containing protein complexes - an elegant capability sought in next-generation leadless optoelectronic systems. Although semiconductors and their heterojunctions are commonly employed to mimic photosynthesis, nanoplasmonic structures offer a largely untapped alternative. Harnessing plasmonic hot carriers for macroscopic systems remains challenging, limiting applications in tissue-level neuromodulation and human-machine interfaces. We introduce a hot-carrier artificial leaf optoelectronic device, formed by thermally self-organized 3D gold-titanium dioxide units on ultrathin membranes. These nanoplasmonic interfaces enhance visible-light optoelectronic responsiveness at sub-100-nm thickness, support highly localized hot-carrier injection, and exhibit stable, linear performance over a wide range of light intensities, overcoming the material, bandgap, and carrier diffusion limits of conventional semiconductors. The resulting nanoplasmonic devices enable leadless, multimodal optoelectronic modulation and pixel-less optical pattern recognition, presenting a potentially scalable platform for hot carrier-enabled biomedical, nanophotonic, and human-machine interface technologies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.