ArticleScientific reports2018
Selective detections of single-viruses using solid-state nanopores.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed.
- Jewish Ethnic Subgroups and Artificial Intelligence Clinical Decision Support.Journal of religion and health · 2026Review
- Numerical characterization of electrochemical transport in three-dimensional rhombic zero-depth pores.Scientific reports · 2026Article
- The evolution of nanopore measurements: from biological out-of-plane pores to plastic in-plane pores.Lab on a chip · 2026Review
- Fabrication of Sub-50 nm Three-Dimensional Rhombic Zero-Depth PDMS Nanopores with Enhanced Conductance via Silicon Micro-Blade Molding.Micromachines · 2025Article
- Rapid diagnosis of ocular viral infections via single-virus detection using solid-state nanopore: A diagnostic evaluation study.PNAS nexus · 2025Article
- Nanopore Environmental Analysis.JACS Au · 2025Review
- Graphene Nanopore Fabrication and Applications.International journal of molecular sciences · 2025Review
- Single-Molecule Bioelectronic Sensors with AI-Aided Data Analysis: Convergence and Challenges.Precision chemistry · 2024Review
- Immunological assay using a solid-state pore with a low limit of detection.Scientific reports · 2024Article
- Label-free and amplification-free viral RNA quantification from primate biofluids using a trapping-assisted optofluidic nanopore platform.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Nanopore sensing and machine learning: future of biomarker analysis and disease detection.Future science OA · 2024Article
- Reduction of Biosensor False Responses and Time Delay Using Dynamic Response and Theory-Guided Machine Learning.ACS sensors · 2023Article
- Improvement of Sensitivity and Speed of Virus Sensing Technologies Using nm- and μm-Scale Components.Sensors (Basel, Switzerland) · 2023Review
- Nanopore Impedance Spectroscopy Reveals Electrical Properties of Single Nanoparticles for Detecting and Identifying Pathogenic Viruses.ACS omega · 2023Article
- The New Era of High-Throughput Nanoelectrochemistry.Analytical chemistry · 2023Review
- In-plane Extended Nano-coulter Counter (XnCC) for the Label-free Electrical Detection of Biological Particles.Electroanalysis · 2022Article
- Probing the Hepatitis B Virus E-Antigen with a Nanopore Sensor Based on Collisional Events Analysis.Biosensors · 2022Article
- Focus on using nanopore technology for societal health, environmental, and energy challenges.Nano research · 2022Review
- Two-dimensional material-based virus detection.Science China. Chemistry · 2022Review
- Rapid and label-free identification of single foodborne pathogens using microfluidic pore sensors.Frontiers in nutrition · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid diagnosis of flu before symptom onsets can revolutionize our health through diminishing a risk for serious complication as well as preventing infectious disease outbreak. Sensor sensitivity and selectivity are key to accomplish this goal as the number of virus is quite small at the early stage of infection. Here we report on label-free electrical diagnostics of influenza based on nanopore analytics that distinguishes individual virions by their distinct physical features. We accomplish selective resistive-pulse sensing of single flu virus having negative surface charges in a physiological media by exploiting electroosmotic flow to filter contaminants at the Si
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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.