ArticleAdvanced materials (Deerfield Beach, Fla.)2019
Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors.
Article in Advanced materials (Deerfield Beach, Fla.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Rapid, One-Step Synthesis of Laser-Scribed Graphene Sensor for Self-Activated Chemiresistive NOACS omega · 2026Article
- Advances in 2D materials for wearable biomonitoring.Materials science & engineering. R, Reports : a review journal · 2025Article
- Article
- Stabilized carbon coating on microelectrodes for scalable and interoperable neurotransmitter sensing.Nature communications · 2025Article
- A three-site recognition cytosensor for accurate detection of circulating tumor cells based on novel branched Pt Au nanospheres and MnOMikrochimica acta · 2025Article
- Recent advances in graphene-based electroanalytical devices for healthcare applications.Nanoscale · 2024Review
- Recent Advances in and Applications of Electrochemical Sensors Based on Covalent Organic Frameworks for Food Safety Analysis.Foods (Basel, Switzerland) · 2023Review
- Electrochemical sensor for rapid detection of fentanyl using laser-induced porous carbon-electrodes.Mikrochimica acta · 2022Article
- Using Graphene-Based Biosensors to Detect Dopamine for Efficient Parkinson's Disease Diagnostics.Biosensors · 2021Review
- Recent advances in fast-scan cyclic voltammetry.The Analyst · 2020Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
A major difficulty in implementing carbon-based electrode arrays with high device-packing density is to ensure homogeneous and high sensitivities across the array. Overcoming this obstacle requires quantitative microscopic models that can accurately predict electrode sensitivity from its material structure. Such models are currently lacking. Here, it is shown that the sensitivity of graphene electrodes to dopamine and serotonin neurochemicals in fast-scan cyclic voltammetry measurements is strongly linked to point defects, whereas it is unaffected by line defects. Using the physics of point defects in graphene, a microscopic model is introduced that explains how point defects determine sensitivity. The predictions of this model match the empirical observation that sensitivity linearly increases with the density of point defects. This model is used to guide the nanoengineering of graphene structures for optimum sensitivity. This approach achieves reproducible fabrication of miniaturized sensors with extraordinarily higher sensitivity than conventional materials. These results lay the foundation for new integrated electrochemical sensor arrays based on nanoengineered graphene.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.