ArticleNature communications2023
Scalable graphene sensor array for real-time toxins monitoring in flowing water.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The trial behind it
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Who cites it
12 citing papers in PubMed.
- From Sensing Mechanisms to System Co-Design: Graphene-Based Sensors and Readout Circuits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Graphene in photonic sensing: From fundamentals to cutting-edge applications.Fundamental research · 2026Review
- Materials challenges in solid-state sensors for continuous monitoring of ions in water.Beilstein journal of nanotechnology · 2026Review
- Label-Free Electrochemical Impedance Spectroscopy for Biosensing: Evolving Interfaces and Mechanistic Insights.Small science · 2025Review
- Synergistic InSe quantum dots-mesoporous TaRSC advances · 2025Article
- Paper-based and chemical-free dual low-cost electrochemical biosensor for rapid detection of Escherichia coli O157:H7.Mikrochimica acta · 2025Article
- Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi-Sensor System with Foundation Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Perspectives in Aptasensor-Based Portable Detection for Biotoxins.Molecules (Basel, Switzerland) · 2024Review
- 2D Materials in Advanced Electronic Biosensors for Point-of-Care Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities.Diagnostics (Basel, Switzerland) · 2024Review
- Graphene-Based Photodynamic Therapy and Overcoming Cancer Resistance Mechanisms: A Comprehensive Review.International journal of nanomedicine · 2024Review
- Preparation of Electrodes with β-Nickel Hydroxide/CVD-Graphene/3D-Nickel Foam Composite Structures to Enhance the Capacitance Characteristics of Supercapacitors.Materials (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Risk management for drinking water often requires continuous monitoring of various toxins in flowing water. While they can be readily integrated with existing water infrastructure, two-dimensional (2D) electronic sensors often suffer from device-to-device variations due to the lack of an effective strategy for identifying faulty devices from preselected uniform devices based on electronic properties alone, resulting in sensor inaccuracy and thus slowing down their real-world applications. Here, we report the combination of wet transfer, impedance and noise measurements, and machine learning to facilitate the scalable nanofabrication of graphene-based field-effect transistor (GFET) sensor arrays and the efficient identification of faulty devices. Our sensors were able to perform real-time detection of heavy-metal ions (lead and mercury) and E. coli bacteria simultaneously in flowing tap water. This study offers a reliable quality control protocol to increase the potential of electronic sensors for monitoring pollutants in flowing water.
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Registered trials
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