Evidence map›Paper›PMID 29768464›Full record

ArticlePloS one2018

Photocatalytic disinfection of surfaces with copper doped Ti02 nanotube coatings illuminated by ceiling mounted fluorescent light.

Tilen Koklic, Štefan Pintarič, Irena Zdovc, Majda Golob, Polona Umek, Alma Mehle, Martin Dobeic, Janez Štrancar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
0.3field-weighted citation impact, top 45% 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, 6 citations in OpenAlex.

  1. Review
  2. Review
  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

8 authors at 3 institutions in 1 country.

Tilen KoklicJožef Stefan Institute, Ljubljana, Slovenia.
Štefan PintaričNAMASTE Center of Excellence, Ljubljana, Slovenia.
Irena ZdovcNAMASTE Center of Excellence, Ljubljana, Slovenia.
Majda GolobVeterinary faculty, University of Ljubljana, Ljubljana, Slovenia.
Polona UmekJožef Stefan Institute, Ljubljana, Slovenia.
Alma MehleJožef Stefan Institute, Ljubljana, Slovenia.
Martin DobeicNAMASTE Center of Excellence, Ljubljana, Slovenia.
Janez ŠtrancarJožef Stefan Institute, Ljubljana, Slovenia.
Jožef Stefan Institute · SIUniversity of Ljubljana · SICentre of Excellence NAMASTE · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High economic burden is associated with foodborne illnesses. Different disinfection methods are therefore employed in food processing industry; such as use of ultraviolet light or usage of surfaces with copper-containing alloys. However, all the disinfection methods currently in use have some shortcomings. In this work we show that copper doped TiO2 nanotubes deposited on existing surfaces and illuminated with ceiling mounted fluorescent lights can retard the growth of Listeria Innocua by 80% in seven hours of exposure to the fluorescent lights at different places in a food processing plant or in the laboratory conditions with daily reinocuation and washing. The disinfection properties of the surfaces seem to depend mainly on the temperature difference of the surface and the dew point, where for the maximum effectiveness the difference should be about 3 degrees celsius. The TiO2 nanotubes have a potential to be employed for an economical and continuous disinfection of surfaces.

Indexed as

LightNanotubesPhotochemical ProcessesTitaniumCatalysisCopperDisinfectionEscherichia coliFood HandlingListeriaMeat ProductsTemperatureCopperTitaniumtitanium dioxide

Identifiers

PMID29768464
PMCPMC5955584
OpenAlexW2952334282

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.