ArticleNature communications2024
Optimising CNT-FET biosensor design through modelling of biomolecular electrostatic gating and its application to β-lactamase detection.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
8 citing papers in PubMed.
- Optimization of SWCNT-FET Biosensors by Aptamer Engineering and Toehold-Mediated Strand Displacement.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Ultra-Sensitive Detection of Mercury by Using Field-Effect Transistor Biosensors Based on Single-Walled Carbon Nanotubes.Biosensors · 2025Article
- Hetero-Functionalization of Carbon Nanotubes Termini with Single-Molecule Control.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Colloidal Hollandite Holey Rods Produced by Presynthetic Nanohybridization.Nano letters · 2025Article
- Electrical Properties of Carbon Nanotubes: From Individual to Assemblies.Nanomaterials (Basel, Switzerland) · 2025Review
- Carbon Nanotube-Based Field-Effect Transistor Biosensors for Biomedical Applications: Decadal Developments and Advancements (2016-2025).Biosensors · 2025Review
- Review
- Optimising CNT-FET biosensor design through modelling of biomolecular electrostatic gating and its application to β-lactamase detection.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Carbon nanotube field effect transistors (CNT-FET) hold great promise as next generation miniaturised biosensors. One bottleneck is modelling how proteins, with their distinctive electrostatic surfaces, interact with the CNT-FET to modulate conductance. Using advanced sampling molecular dynamics combined with non-canonical amino acid chemistry, we model protein electrostatic potential imparted on single walled CNTs (SWCNTs). We focus on using β-lactamase binding protein (BLIP2) as the receptor as it binds the antibiotic degrading enzymes, β-lactamases (BLs). BLIP2 is attached via the single selected residue to SWCNTs using genetically encoded phenyl azide photochemistry. Our devices detect two different BLs, TEM-1 and KPC-2, with each BL generating distinct conductance profiles due to their differing surface electrostatic profiles. Changes in conductance match the model electrostatic profile sampled by the SWCNTs on BL binding. Thus, our modelling approach combined with residue-specific receptor attachment could provide a general approach for systematic CNT-FET biosensor construction.
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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.