Sun, J, Zhou, L, Li, Z, He, G, Mao, H, Zhao, J, Hunt, JA ORCID: https://orcid.org/0000-0002-5168-4778 and Chen, X
ORCID: https://orcid.org/0000-0001-7091-1414,
2025.
Perovskite-graphene heterostructure biosensor integrated with biotunable nanoplasmonic ternary logic gate for ultrasensitive cytokine detection.
Advanced Science: e03124.
ISSN 2198-3844
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Abstract
The integration of 2D-materials and optoelectronic devices has attracted great attention for advanced applications. We propose the first perovskite/graphene heterostructure-based FET biosensor with uniquely biotunable ternary logic gating functionality. The biosensor integrates a lateral perovskite-on-graphene heterostructure phototransistor with a vertical bio-nano-photonic filter, with a decoupled construction inset. In the phototransistor, photoactive perovskite quantum dots (PQDs) serve as sensitizers to absorb light while a high mobility single-layer graphene (SLG) acts as an expressway for carrier transport. In the bio-nano-photonic filter, a localized surface plasmon resonance (LSPR) is induced by gold nanoparticles (AuNPs) in conjunction with antigen-antibody binding, tuning the delivery of light passing through the filter and facilitating biotunable functionality with ternary modes. The biosensor is set up to detect human interleukin-6 (IL6) in order to determine and achieve ultrahigh sensitivity with a limit of detection (LOD) of 0.9 fg mL−1 (43 aM), which is 4 orders of magnitude greater than graphene-FET biosensors. This ultrahigh sensitivity is achieved due to the synergistic effect of PQDs/SLG heterostructure, exhibiting superior electrical, optical, and physicochemical properties, consequently providing significantly high performance of the biosensor in terms of label-free, ultrahigh sensitivity (attomolar level), rapid responsivity (5 min), excellent stability, and selectivity. This heterostructure-based biotunable configuration could open a new avenue for 2D materials in the realm of next-generation bio-nano-photonic platforms for applications in healthcare, early diagnosis, and rapid detection.
Item Type: | Journal article |
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Publication Title: | Advanced Science |
Creators: | Sun, J., Zhou, L., Li, Z., He, G., Mao, H., Zhao, J., Hunt, J.A. and Chen, X. |
Publisher: | Wiley Open Access |
Date: | 21 May 2025 |
ISSN: | 2198-3844 |
Identifiers: | Number Type 10.1002/advs.202503124 DOI 2444195 Other |
Rights: | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Divisions: | Schools > School of Science and Technology |
Record created by: | Jonathan Gallacher |
Date Added: | 02 Jun 2025 10:07 |
Last Modified: | 02 Jun 2025 10:07 |
URI: | https://irep.ntu.ac.uk/id/eprint/53668 |
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