From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

Graphene-based materials combining outstanding electrical, thermal, optical and mechanical properties have demonstrated remarkable potential for high-performance sensing across optoelectronic, molecular, mechanical, magnetic and thermal applications. However, practical graphene sensing often involves relatively small stimulus-induced changes in diverse electrical quantities, requiring dedicated readout electronics for accurate detection and conditioning. Existing reviews rarely treat sensing mechanisms and readout architectures in a unified system co-design context, which leaves a gap between device demonstrations and deployable systems. To bridge device transduction and circuit interfacing, a three-level PS-EQ-RF framework is proposed, which maps physical stimuli (PS) to electrical quantities (EQ) and to readout features (RF). Guided by the framework, this review organizes graphene-based sensors according to electrical output characteristics into four categories: voltage-source, current-source, resistive (RS), and capacitive (CS) sensors. Key circuit modules, representative readout topologies, and practical implementations are analyzed for each category. We further provide system-level co-design guidelines, including metric mapping, architecture selection, low-noise design, and mitigation of nonidealities, and discuss the evolution, remaining bottlenecks, and future directions of graphene-based sensing systems. This review aims to provide a systematic view of graphene-based sensing systems and to accelerate the transition of graphene-based sensing technologies from laboratory prototypes to practical applications.

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Publication Details

Journal
Advanced Science
Published
2026-08-27
DOI
https://doi.org/10.1002/advs.77374
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00

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From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

Ziran Zhao, G. Q. Li, Meng Chen, Jinduo Zhang et al.
Advanced Science
Graphene research and applications
article

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

Ziran Zhao, G. Q. Li, Meng Chen, Jinduo Zhang, Ruifeng Liu, Yingxin Wang
article en

Abstract

Graphene-based materials combining outstanding electrical, thermal, optical and mechanical properties have demonstrated remarkable potential for high-performance sensing across optoelectronic, molecular, mechanical, magnetic and thermal applications. However, practical graphene sensing often involves relatively small stimulus-induced changes in diverse electrical quantities, requiring dedicated readout electronics for accurate detection and conditioning. Existing reviews rarely treat sensing mechanisms and readout architectures in a unified system co-design context, which leaves a gap between device demonstrations and deployable systems. To bridge device transduction and circuit interfacing, a three-level PS-EQ-RF framework is proposed, which maps physical stimuli (PS) to electrical quantities (EQ) and to readout features (RF). Guided by the framework, this review organizes graphene-based sensors according to electrical output characteristics into four categories: voltage-source, current-source, resistive (RS), and capacitive (CS) sensors. Key circuit modules, representative readout topologies, and practical implementations are analyzed for each category. We further provide system-level co-design guidelines, including metric mapping, architecture selection, low-noise design, and mitigation of nonidealities, and discuss the evolution, remaining bottlenecks, and future directions of graphene-based sensing systems. This review aims to provide a systematic view of graphene-based sensing systems and to accelerate the transition of graphene-based sensing technologies from laboratory prototypes to practical applications.

Advanced Science
National Archives (GB), Tsinghua University (CN)
National Natural Science Foundation of China, Beijing Nova Program
Openalex Percentile: Top 23%
Graphene research and applications
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From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits — Ziran Zhao, G. Q. Li, et al. · Advanced Science (2026) | TGRS Research Map | TGRS