Evidence map›Paper›PMID 33984307›Full record

ArticleEnvironmental research2021

Performance study of a sterilization box using a combination of heat and ultraviolet light irradiation for the prevention of COVID-19.

Nilkamal Mahanta, Varun Saxena, Lalit M Pandey, Priyanka Batra, U S Dixit

Abstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Pollution free UV-C radiation to mitigate COVID-19 transmission.Gondwana research : international geoscience journal · 2023
    Article
  3. Batteryless wireless magnetostrictive FeSensors and actuators. A, Physical · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

5 authors.

Nilkamal MahantaDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati, India.
Varun SaxenaBio-Interface and Environmental Engineering Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, India.
Lalit M PandeyBio-Interface and Environmental Engineering Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, India.
Priyanka BatraNorth East Center for Biological Sciences and Health Care Engineering (NECBH), Indian Institute of Technology Guwahati, India.
U S DixitDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati, India. Electronic address: uday@iitg.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 virus and other pathogenic microbes are transmitted to the environment through contacting surfaces, which need to be sterilized for the prevention of COVID-19 and related diseases. In this study, a prototype of a cost-effective sterilization box is developed to disinfect small items. The box utilizes ultra violet (UV) radiation with heat. For performance assessment, two studies were performed. First, IgG (glycoprotein, a model protein similar to that of spike glycoprotein of SARS-COV-2) was incubated under UV and heat sterilization. An incubation with UV at 70 °C for 15 min was found to be effective in unfolding and aggregation of the protein. At optimized condition, the hydrodynamic size of the protein increased to ~171 nm from ~5 nm of the native protein. Similarly, the OD

Indexed as

COVID-19Ultraviolet RaysHot TemperatureHumansSARS-CoV-2Virus InactivationBacteriaCOVID-19Heat treatmentSARS-CoV-2SterilizationUV radiation

Identifiers

PMID33984307
PMCPMC8107062

What OpenQuestion holds

Textmetadata
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.