Evidence map›Paper›PMID 41182963›Full record

ArticleAnalytical chemistry2025

Monitoring Vaccine-Induced Antibody Levels Using Carbon Nanotube-Based Field-Effect Transistors.

Amir Amiri, Wenting Shao, Zidao Zeng, Ashish Dhayani, Stephen C Balmert, Louis D Falo, Emrullah Korkmaz, Alexander Star

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Amir AmiriDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania15260, United States.
Wenting ShaoDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania15260, United States.ORCID 0000-0002-5615-9980
Zidao ZengDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania15260, United States.
Ashish DhayaniDepartment of Dermatology, University of Pittsburgh School of Medicine, 200 Lothrop Street, Biomedical Science Tower, Pittsburgh, Pennsylvania15213, United States.
Stephen C BalmertDepartment of Dermatology, University of Pittsburgh School of Medicine, 200 Lothrop Street, Biomedical Science Tower, Pittsburgh, Pennsylvania15213, United States.
Louis D FaloDepartment of Dermatology, University of Pittsburgh School of Medicine, 200 Lothrop Street, Biomedical Science Tower, Pittsburgh, Pennsylvania15213, United States.
Emrullah KorkmazDepartment of Dermatology, University of Pittsburgh School of Medicine, 200 Lothrop Street, Biomedical Science Tower, Pittsburgh, Pennsylvania15213, United States.
Alexander StarDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania15260, United States.ORCID 0000-0001-7863-5987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccines are powerful public health tools to protect against emerging infectious pathogens. Multiple vaccine doses are typically required to achieve robust protection that is often mediated by the induction of pathogen-specific antibodies. Thus, monitoring the levels of vaccine-induced antibodies in immunized individuals is crucial to ensuring vaccine effectiveness and compliance. However, existing antibody-detection techniques are resource- and time-inefficient, highlighting the need for improved technologies for monitoring vaccine-induced antibody levels. Here, we developed a field-effect transistor (FET) biosensor platform based on antigen-functionalized semiconducting single-walled carbon nanotubes (SWCNTs) for the rapid and convenient detection of pathogen-specific antibodies. Our antibody sensor platform was designed to produce robust signals with a high signal-to-noise ratio upon antigen-antibody interactions altering the electrical conductivity of interconnected SWCNTs. Key physicoelectrochemical characteristics of our SWCNT FET biosensor were validated by atomic force microscopy (AFM), scanning electron microscopy (SEM), Raman spectroscopy, and FET measurements. Robust and rapid antibody detection capability of our SWCNT FET biosensor platform was demonstrated by measuring virus-specific antibodies (e.g., anti-hemagglutinin (anti-HA), anti-SARS-CoV-2 nucleocapsid (anti-N), and anti-SARS-CoV-2 spike (anti-S) antibodies) in different systems. Our nanoelectronic sensor platform was able to detect these antibodies in a wide linear concentration range of 100 ag/mL to 100 ng/mL. Owing to the direct attachment of the corresponding antigens to SWCNTs, desirable limits of detection of 0.20 and 20.6 ag/mL were obtained for the detection of anti-HA and anti-S antibodies, respectively. Together, our SWCNT FET biosensor platform offers a next-generation antibody detection technology capable of low-cost, rapid, accessible, and convenient monitoring of vaccine-induced antibodies.

Indexed as

Antibodies, ViralBiosensing TechniquesNanotubes, CarbonTransistors, ElectronicCOVID-19HumansSARS-CoV-2Antibodies, ViralNanotubes, Carbon

Identifiers

PMID41182963
PMCPMC12713613

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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.