4.6 Article

Photomemristive sensing via charge storage in 2D carbon nitrides

期刊

MATERIALS HORIZONS
卷 9, 期 7, 页码 -

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ROYAL SOC CHEMISTRY
DOI: 10.1039/d2mh00069e

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资金

  1. Max Planck Society
  2. European Research Council (ERC) under the European Union [639233]
  3. Deutsche Forschungsgemeinschaft (DFG) via the cluster of excellence 'e-conversion' [EXC2089/1-390776260]
  4. Center for NanoScience (CENS)

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This study presents a photomemristive sensing platform utilizing a 2D carbon nitride potassium poly(heptazine imide) material. The platform demonstrates charge accumulation and storage, and offers various readout options for adjusting sensitivity and dynamic range. The material shows potential for hardware-based sensing capabilities without the need for additional reagents.
Photomemristive sensors have the potential to innovate current photo-electrochemical sensors by incorporating new sensing capabilities including non-invasive, wireless and time-delayed (memory) readout. Here we report the charge storing 2D carbon nitride potassium poly(heptazine imide), K-PHI, as a direct photomemristive sensing platform by capitalizing on K-PHI's visible light bandgap, large oxidation potential, and intrinsic optoionic charge storage properties. Utilizing the light-induced charge storage function of K-PHI nanosheets, we demonstrate memory sensing via charge accumulation and present potentiometric, impedimetric and coulometric readouts to write/erase this information from the material, with no additional reagents required. Additionally, wireless colorimetric and fluorometric detection of the charging state of K-PHI nanoparticles is demonstrated, enabling the material's use as particle-based autonomous sensing probe in situ. The various readout options of K-PHI's response enable us to adapt the sensitivities and dynamic ranges without modifying the sensing platform, which is demonstrated using glucose as a model analyte over a wide range of concentrations (50 mu M to 50 mM). Since K-PHI is earth abundant, biocompatible, chemically robust and responsive to visible light, we anticipate that the photomemristive sensing platform presented herein opens up memristive and neuromorphic functions.

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