Evidence map›Paper›PMID 35582462›Full record

ArticleIEEE journal of electromagnetics, RF and microwaves in medicine and biology2022

A Methodology for Remote Microwave Sterilization Applicable to the Coronavirus and Other Pathogens Using Retrodirective Antenna Arrays.

Konstantinos Kossenas, Symon K Podilchak, Davide Comite, Pascual D Hilario Re, George Goussetis, Sumanth K Pavuluri, Samantha J Griffiths, Robert J Chadwick, Chao Guo, Nico Bruns and 3 more

Abstract read
In one paragraph

Article in IEEE journal of electromagnetics, RF and microwaves in medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

13 authors.

Konstantinos KossenasSchool of Engineering, Institute of Digital CommunicationThe University of Edinburgh EH8 8AQ Edinburgh U.K.ORCID https://orcid.org/0000-0003-1311-6339
Symon K PodilchakSchool of Engineering, Institute of Digital CommunicationThe University of Edinburgh EH8 8AQ Edinburgh U.K.ORCID https://orcid.org/0000-0001-6062-6732
Davide ComiteDepartment of Information Engineering, Electronics and TelecommunicationsSapienza University of Rome RM 00185 Roma Italy.ORCID https://orcid.org/0000-0002-5080-3966
Pascual D Hilario ReInstitute of Sensors Signals and Systems, School of Engineering and Physical SciencesHeriot-Watt University EH14 4AS Edinburgh U.K.
George GoussetisInstitute of Sensors Signals and Systems, School of Engineering and Physical SciencesHeriot-Watt University EH14 4AS Edinburgh U.K.ORCID https://orcid.org/0000-0002-8042-2347
Sumanth K PavuluriInstitute of Sensors Signals and Systems, School of Engineering and Physical SciencesHeriot-Watt University EH14 4AS Edinburgh U.K.
Samantha J GriffithsEdinburgh Medical School Infection MedicineThe University of Edinburgh EH8 8AQ Edinburgh U.K.ORCID https://orcid.org/0000-0002-6782-4675
Robert J ChadwickDepartment of Pure and Applied ChemistryUniversity of Strathclyde G1 1XQ Glasgow U.K.ORCID https://orcid.org/0000-0001-7476-2399
Chao GuoDepartment of Pure and Applied ChemistryUniversity of Strathclyde G1 1XQ Glasgow U.K.ORCID https://orcid.org/0000-0002-1610-1768
Nico BrunsDepartment of Pure and Applied ChemistryUniversity of Strathclyde G1 1XQ Glasgow U.K.ORCID https://orcid.org/0000-0001-6199-9995
Christine Tait-BurkardEdinburgh Medical School Infection MedicineThe University of Edinburgh EH8 8AQ Edinburgh U.K.
Jurgen G HaasEdinburgh Medical School Infection MedicineThe University of Edinburgh EH8 8AQ Edinburgh U.K.
Marc P Y DesmulliezInstitute of Sensors Signals and Systems, School of Engineering and Physical SciencesHeriot-Watt University EH14 4AS Edinburgh U.K.ORCID https://orcid.org/0000-0002-2441-1598

Funding

Medical Research Council MR/P011349/1
6 · The paper itself

Abstract

This paper describes an innovative remote surface sterilization approach applicable to the new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The process is based on the application of a liquid film on the surface or object under sterilization (OUS). A beacon signal is used to self-steer the transmitted power from the designed retrodirective antenna array (RDA) towards the OUS using circularly polarized fields; then, the sterilization is completed by raising and maintaining the required temperature for a certain time. Results suggest that the process takes 5 minutes or less for an angular coverage range over 60 degrees whilst abiding by the relevant safety protocols. This paper also models the power incident onto the OUS, providing consistent results with full-wave simulations. A practical RDA system is developed using a 2 × 1 microstrip patch array operating at 2.5 GHz and tested through the positioning of a representative target surface. Measurements, developed by sampling the power transmitted by the heterodyne RDA, are reported for various distances and angles, operating in the near-field of the system. To further validate the methodology, an additional experiment investigating virus deactivation through microwave heating was also developed. Measurements have been performed with an open cavity microwave oven on the Coronavirus (strain 229E) and egg white protein in a cuvette. This demonstrates that the temperature increases of aqueous films up to 70 [Formula: see text]C by remote microwave-induced heat can denature proteins and deactivate viruses. Possible applications of the method include sterilization of ambulances, medical equipment, and internet of things (IoT) devices.

Indexed as

COVID-19medical devicesmicrowave heatingnear fieldremote sterilizationretrodirective arraySARS-CoV-2

Identifiers

PMID35582462
PMCPMC8956366

What OpenQuestion holds

Textmetadata
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.