Evidence map›Paper›PMID 42356665›Full record

ArticleSensors (Basel, Switzerland)2026

Ring-Electrode AC Plasmonic Nanopore Sensing for DNA Load Characterization of Single Adeno-Associated Viruses.

Scott Renkes, Steven J Gray, Min Jun Kim, George Alexandrakis

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Scott RenkesBioengineering Department, University of Texas at Arlington, Arlington, TX 76010, USA.ORCID 0000-0002-1672-7154
Steven J GrayDepartment of Pediatrics, University of Texas Southwestern, Dallas, TX 75390, USA.ORCID 0000-0002-6240-8621
Min Jun KimDepartment of Mechanical Engineering, Southern Methodist University, Dallas, TX 75205, USA.ORCID 0000-0002-0819-1644
George AlexandrakisBioengineering Department, University of Texas at Arlington, Arlington, TX 76010, USA.ORCID 0000-0002-7046-1924

Funding

NIH HHS 1R01GM149949-01U.S. National Science Foundation CBET#2421778U.S. National Science Foundation CBET#2421779U.S. National Science Foundation TI#2415309
6 · The paper itself

Abstract

Reliable quality control of adeno-associated virus (AAV) vectors remains a major bottleneck in gene therapy manufacturing, particularly for resolving subtle differences in genome loading and conformation at the single-particle level. Existing approaches often struggle to distinguish AAV populations with similar mass and charge, such as capsids carrying self-complementary versus single-stranded DNA. Here, we introduce an AC plasmonic nanopore sensing framework for AAV9 characterization. Individual AAV capsids were optically trapped within a plasmonic double-nanohole nanopore and interrogated using multi-frequency AC pulse trains spanning 500 Hz to 100 kHz. To enhance sensitivity to localized particle-field interactions, a nanofabricated Ag/AgCl ring electrode was integrated concentrically with the plasmonic nanopore. Relative to a conventional wire electrode, the ring electrode produced broader and more robust analyte-dependent differences across multiple frequency-dependent parameters, enabling reliable discrimination of empty capsids (AAV

Indexed as

Biosensing TechniquesDependovirusDNA, ViralNanoporesCapsidDNA, Single-StrandedElectrodesDNA, Single-StrandedDNA, ViralAC nanopore sensingadeno-associated virusfrequency-resolved sensingplasmonic nanoporering electrodesingle-particle sensing

Identifiers

PMID42356665
PMCPMC13306443

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.