Evidence map›Paper›PMID 41315828›Full record

ArticleScientific reports2025

Identifying resonant frequencies of viruses for microwave-based detection and inactivation of pathogenic viruses.

Zhifeng Kuang, John Luginsland, Chia-Suei Hung, Blake W Stamps, Robert J Thomas, Nancy Kelley-Loughnane, Oscar N Ruiz, William P Roach

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Zhifeng KuangBiomaterials Branch, Photonic, Electronic, and Soft Materials Division, Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, OH, 45433, USA. zig.kuang@gmail.com.
John LuginslandAir Force Research Laboratory Strategic Partnering, Wright-Patterson Air Force Base, Dayton, OH, 45431, USA.
Chia-Suei HungBiomaterials Branch, Photonic, Electronic, and Soft Materials Division, Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, OH, 45433, USA.
Blake W StampsBiomaterials Branch, Photonic, Electronic, and Soft Materials Division, Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, OH, 45433, USA.
Robert J Thomas711th Human Performance Wing, Air Force Research Laboratory, JBSA Fort Sam Houston, San Antonio, TX, 78234, USA.
Nancy Kelley-LoughnaneBiomaterials Branch, Photonic, Electronic, and Soft Materials Division, Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, OH, 45433, USA.
Oscar N RuizBiomaterials Branch, Photonic, Electronic, and Soft Materials Division, Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, OH, 45433, USA.
William P RoachAir Force Office of Scientific Research, Arlington, VA, 22203, USA. william.roach.4@us.af.mil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The natural vibrational frequencies of biological particles encode critical information about their structures and properties. The natural vibrational frequencies have been explored for early detection and inactivation of viruses. The resonant frequency-based biophysical methods present an interesting alternative to traditional vaccine and drug treatment against the spread and infection of pathogenic viruses. However, measuring natural vibrational frequencies of a single virion in a biological environment is challenging. Assigning structural features to measured spectra is even more difficult. We have simulated the dynamic motion of SARS-CoV-2 spike protein using all-atom molecular dynamics simulation. A resonance frequency at 7.3-7.4 GHz has been identified. The finding provides a molecular-level theoretical basis for attributing the experimentally observed SARS-CoV-2 microwave absorption peak at ~ 7.5 GHz to the intrinsic vibration of the spike protein, which is different from the previously proposed viral shell-core dipole model.

Indexed as

MicrowavesSARS-CoV-2Spike Glycoprotein, CoronavirusVirus InactivationCOVID-19HumansMolecular Dynamics SimulationVibrationSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID41315828
PMCPMC12708850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.