Evidence map›Paper›PMID 40352677›Full record

ArticleSensors & diagnostics2025

A label-free nanowell-based impedance sensor for ten-minute SARS-CoV-2 detection.

Zhuolun Meng, Liam White, Pengfei Xie, Hassan Raji, S Reza Mahmoodi, Aris Karapiperis, Hao Lin, German Drazer, Mehdi Javanmard, Edward P DeMauro

Abstract read
In one paragraph

Article in Sensors & diagnostics, 2025. 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

10 authors.

Zhuolun MengDepartment of Electrical and Computer Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA mehdi.javanmard@rutgers.edu.ORCID https://orcid.org/0000-0002-7199-5098
Liam WhiteDepartment of Mechanical and Aerospace Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA edward.demauro@rutgers.edu.
Pengfei XieDepartment of Electrical and Computer Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA mehdi.javanmard@rutgers.edu.
Hassan RajiDepartment of Electrical and Computer Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA mehdi.javanmard@rutgers.edu.ORCID https://orcid.org/0000-0002-9560-4311
S Reza MahmoodiDepartment of Electrical and Computer Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA mehdi.javanmard@rutgers.edu.
Aris KarapiperisDepartment of Mechanical and Aerospace Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA edward.demauro@rutgers.edu.
Hao LinDepartment of Mechanical and Aerospace Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA edward.demauro@rutgers.edu.ORCID https://orcid.org/0000-0003-4771-4353
German DrazerDepartment of Mechanical and Aerospace Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA edward.demauro@rutgers.edu.ORCID https://orcid.org/0000-0003-3860-7329
Mehdi JavanmardDepartment of Electrical and Computer Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA mehdi.javanmard@rutgers.edu.
Edward P DeMauroDepartment of Mechanical and Aerospace Engineering, Rutgers University-New Brunswick Piscataway NJ 08854 USA edward.demauro@rutgers.edu.

Funding

Rutgers Optimizes Innovation (ROI) ProgramU01HL150852 · NHLBI · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI LIBUTTI, STEVEN K., PANETTIERI, REYNOLD ALEXANDER · 2019 to 2022
$4.4M
NHLBI NIH HHS U01 HL150852
6 · The paper itself

Abstract

This work explores label-free biosensing as an effective method for biomolecular analysis, ensuring the preservation of native conformation and biological activity. The focus is on a novel electronic biosensing platform utilizing micro-fabricated nanowell-based impedance sensors, offering rapid, point-of-care diagnosis for SARS-CoV-2 (COVID-19) detection. The nanowell sensor, constructed on a silica substrate through a series of microfabrication processes including deposition, patterning, and etching, features a 5 × 5 well array functionalized with antibodies. Real-time impedance changes within the nanowell array enable diagnostic results within ten minutes using small sample volumes (<5 μL). The research includes assays for SARS-CoV-2 spike proteins in phosphate-buffered saline (PBS) and artificial saliva buffers to mimic real human SARS-CoV-2 samples, covering a wide range of concentrations. The sensor exhibits a detection limit of 0.2 ng mL

Identifiers

PMID40352677
PMCPMC12056702

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Registered trials

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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.