Evidence map›Paper›PMID 25259528›Full record

ArticlePloS one2014

Hard surface biocontrol in hospitals using microbial-based cleaning products.

Alberta Vandini, Robin Temmerman, Alessia Frabetti, Elisabetta Caselli, Paola Antonioli, Pier Giorgio Balboni, Daniela Platano, Alessio Branchini, Sante Mazzacane

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 129 citations in OpenAlex.

  1. Pooled it
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  3. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
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  8. Risk analysis approaches for microbial ingredients in microbial-based cleaning products.Risk analysis : an official publication of the Society for Risk Analysis · 2025
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6 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 2 countries.

Alberta VandiniCIAS Laboratory, Centre for the Study of physical, chemical and microbiological Contamination of Highly Sterile Environments, Department of Architecture, University of Ferrara, Ferrara, Italy.
Robin TemmermanLaboratory of Microbial Ecology and Technology, Ghent University, Ghent, Belgium; Chrisal R & D Department, Lommel, Belgium.
Alessia FrabettiCIAS Laboratory, Centre for the Study of physical, chemical and microbiological Contamination of Highly Sterile Environments, Department of Architecture, University of Ferrara, Ferrara, Italy.
Elisabetta CaselliDepartment of Medical Sciences, Microbiology Section, University of Ferrara, Ferrara, Italy.
Paola AntonioliDepartment of Infection Prevention Control and Risk Management, Ferrara University Hospital, Ferrara, Italy.
Pier Giorgio BalboniDepartment of Medical Sciences, Microbiology Section, University of Ferrara, Ferrara, Italy.
Daniela PlatanoDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Alessio BranchiniDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
Sante MazzacaneCIAS Laboratory, Centre for the Study of physical, chemical and microbiological Contamination of Highly Sterile Environments, Department of Architecture, University of Ferrara, Ferrara, Italy.
University of Ferrara · ITGhent University · BEUniversity of Bologna · IT

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

backgroundHealthcare-Associated Infections (HAIs) are one of the most frequent complications occurring in healthcare facilities. Contaminated environmental surfaces provide an important potential source for transmission of many healthcare-associated pathogens, thus indicating the need for new and sustainable strategies.

aimThis study aims to evaluate the effect of a novel cleaning procedure based on the mechanism of biocontrol, on the presence and survival of several microorganisms responsible for HAIs (i.e. coliforms, Staphyloccus aureus, Clostridium difficile, and Candida albicans) on hard surfaces in a hospital setting.

methodsThe effect of microbial cleaning, containing spores of food grade Bacillus subtilis, Bacillus pumilus and Bacillus megaterium, in comparison with conventional cleaning protocols, was evaluated for 24 weeks in three independent hospitals (one in Belgium and two in Italy) and approximately 20000 microbial surface samples were collected.

resultsMicrobial cleaning, as part of the daily cleaning protocol, resulted in a reduction of HAI-related pathogens by 50 to 89%. This effect was achieved after 3-4 weeks and the reduction in the pathogen load was stable over time. Moreover, by using microbial or conventional cleaning alternatively, we found that this effect was directly related to the new procedure, as indicated by the raise in CFU/m2 when microbial cleaning was replaced by the conventional procedure. Although many questions remain regarding the actual mechanisms involved, this study demonstrates that microbial cleaning is a more effective and sustainable alternative to chemical cleaning and non-specific disinfection in healthcare facilities.

conclusionsThis study indicates microbial cleaning as an effective strategy in continuously lowering the number of HAI-related microorganisms on surfaces. The first indications on the actual level of HAIs in the trial hospitals monitored on a continuous basis are very promising, and may pave the way for a novel and cost-effective strategy to counteract or (bio)control healthcare-associated pathogens.

Indexed as

HospitalsColony Count, MicrobialCross InfectionDisinfection

Identifiers

PMID25259528
PMCPMC4178175
OpenAlexW2016254764

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.