Evidence map›Paper›PMID 36846296›Full record

ReviewCurrent opinion in green and sustainable chemistry2023

Can photocatalysis help in the fight against COVID-19 pandemic?

Agata Markowska-Szczupak, Oliwia Paszkiewicz, Kenta Yoshiiri, Kunlei Wang, Ewa Kowalska

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in green and sustainable chemistry, 2023. 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
5.9field-weighted citation impact, top 4% of its field
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, 12 citations in OpenAlex.

  1. Article
  2. Citric acid based (CQDs/TiODiscover nano · 2024
    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

5 authors at 3 institutions in 2 countries.

Agata Markowska-SzczupakDepartment of Chemical and Process Engineering, West Pomeranian University of Technology in Szczecin, Piastow 42, 71-065 Szczecin, Poland.
Oliwia PaszkiewiczDepartment of Chemical and Process Engineering, West Pomeranian University of Technology in Szczecin, Piastow 42, 71-065 Szczecin, Poland.
Kenta YoshiiriInstitute for Catalysis (ICAT), Hokkaido University, N21, W10, 001-0021 Sapporo, Japan.
Kunlei WangInstitute for Catalysis (ICAT), Hokkaido University, N21, W10, 001-0021 Sapporo, Japan.
Ewa KowalskaInstitute for Catalysis (ICAT), Hokkaido University, N21, W10, 001-0021 Sapporo, Japan.
Hokkaido University · JPWest Pomeranian University of Technology in Szczecin · PLJagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mould fungi are serious threats to humans and animals (allergen) and might be the main cause of COVID-19-associated pulmonary aspergillosis. The common methods of disinfection are not highly effective against fungi due to the high resistance of fungal spores. Recently, photocatalysis has attracted significant attention towards antimicrobial action. Outstanding properties of titania photocatalysts have already been used in many areas, e.g., for building materials, air conditioner filters, and air purifiers. Here, the efficiency of photocatalytic methods to remove fungi and bacteria (risk factors for Severe Acute Respiratory Syndrome Coronavirus 2 co-infection) is presented. Based on the relevant literature and own experience, there is no doubt that photocatalysis might help in the fight against microorganisms, and thus prevent the severity of COVID-19 pandemic.

Indexed as

Antimicrobial materialsCo-infectionsCOVID-19 pandemicFungiPhotocatalysis

Identifiers

PMID36846296
PMCPMC9942773
OpenAlexW4318756929

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.