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Peer-reviewedCC BY 4.0Nature Reviews Electrical Engineering

Engineering two-dimensional electronic biosensors

Abstract

The combination of exceptional electrical, mechanical, geometrical and chemical properties of two-dimensional materials has enabled highly sensitive detection of biological and environmental signals and opened new frontiers in biosensing. Graphene has pioneered much of this progress, yet the broader landscape of two-dimensional materials, comprising hundreds of experimentally validated and thousands of theoretically predicted materials, offers vast, largely untapped potential. The field is now at a critical stage where device sensitivity must be matched by improvements in selectivity, stability, reproducibility and operation under physiological conditions. This Perspective reviews the current state-of-the-art in two-dimensional materials-based biosensors, highlighting their key advances and drawbacks. We argue that further progress will depend on linking biosensing performance more directly to the intrinsic structures and properties of individual materials. Emerging strategies to overcome persistent challenges, such as biocompatibility, selectivity, functionalization, drift, reproducibility and stability under physiological conditions will be central to translating laboratory demonstrations into reliable translational sensing technologies. The diversity of two-dimensional materials also creates opportunities to move beyond graphene and match specific material properties to unique sensing functions. Their integration into flexible and portable point-of-care devices would support applications ranging from continuous health monitoring to the Internet of Medical Things.

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BibTeX
@article{hasan2026engineering,
  title = {{Engineering two-dimensional electronic biosensors}},
  author = {Md Mehdi Hasan and Huilu Bao and Verónica Montes-García and Yucheng Zhang and Jinglei Ping and Paolo Samorì and Xiangfeng Duan and Dmitry Kireev},
  journal = {Nature Reviews Electrical Engineering},
  year = {2026},
  month = aug,
  doi = {10.1038/s44287-026-00326-2},
  url = {https://univoak.hal.science/hal-05843950v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Engineering two-dimensional electronic biosensors
AU  - Md Mehdi Hasan
AU  - Huilu Bao
AU  - Verónica Montes-García
AU  - Yucheng Zhang
AU  - Jinglei Ping
AU  - Paolo Samorì
AU  - Xiangfeng Duan
AU  - Dmitry Kireev
PY  - 2026
DA  - 2026/08/27
JO  - Nature Reviews Electrical Engineering
DO  - 10.1038/s44287-026-00326-2
UR  - https://univoak.hal.science/hal-05843950v1
AB  - The combination of exceptional electrical, mechanical, geometrical and chemical properties of two-dimensional materials has enabled highly sensitive detection of biological and environmental signals and opened new frontiers in biosensing. Graphene has pioneered much of this progress, yet the broader landscape of two-dimensional materials, comprising hundreds of experimentally validated and thousands of theoretically predicted materials, offers vast, largely untapped potential. The field is now at a critical stage where device sensitivity must be matched by improvements in selectivity, stability, reproducibility and operation under physiological conditions. This Perspective reviews the current state-of-the-art in two-dimensional materials-based biosensors, highlighting their key advances and drawbacks. We argue that further progress will depend on linking biosensing performance more directly to the intrinsic structures and properties of individual materials. Emerging strategies to overcome persistent challenges, such as biocompatibility, selectivity, functionalization, drift, reproducibility and stability under physiological conditions will be central to translating laboratory demonstrations into reliable translational sensing technologies. The diversity of two-dimensional materials also creates opportunities to move beyond graphene and match specific material properties to unique sensing functions. Their integration into flexible and portable point-of-care devices would support applications ranging from continuous health monitoring to the Internet of Medical Things.
SN  - 2948-1201
ER  -