Evidence map›Paper›PMID 41326445›Full record

ArticleScientific reports2025

Quantitative assessment of the standard method for measuring steam composition in surface sterilisation.

Francesco Tessarolo, Michela Masè

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Francesco TessaroloDepartment of Industrial Engineering, University of Trento, via delle Regole, 101, Trento, 38123, Italy. francesco.tessarolo@unitn.it.
Michela MasèDepartment of Industrial Engineering, University of Trento, via delle Regole, 101, Trento, 38123, Italy.

Funding

Fondo Sociale Europeo Recovery Assistance for Cohesion and the Territories of the European Union (FSE-REACT-EU) Programma Operativo Nazionale (PON), Azione IV.4 - Research and Innovation, DM 1062/2021
6 · The paper itself

Abstract

Steam composition, defined as the fraction of non-condensable gases (NCGs) in the steam, is an essential parameter to ensure the efficacy and reliability of the steam sterilisation process. Standard EN 285:2015 + A1:2021 defines an operative method for measuring NCG fraction (NCG%) in the steriliser steam pipes, but lacks specifications about the process profile, timing and volume of condensate, and environmental conditions. This study aimed to quantify the effects of this lack of specifications on NCG% measured values to enable a more effective and informative testing procedure. Sterilisation processes, with different profiles and load amounts, were run in a medium-sized steam steriliser. NCGs and steam condensate volumes were measured every 30 s using the standard method, and NCG% values were calculated at different time points and condensate volumes. NCG% variations associated with environmental temperature and pressure were theoretically estimated. NCG% values and test outcomes showed dependence on the process profile, load, condensate collection timing and volume. Environmental conditions had a non-negligible impact on measurements. Overall, NCG measurement variability impacted standard method reliability to qualify the steriliser and to estimate steam composition in the steriliser chamber. Real-time quantitative monitoring of steam composition during every production process is advocated to improve steam sterilisation efficacy and quality.

Indexed as

Equipment qualificationNon-condensable gasesStandardsSteam compositionSteam qualitySterilisation efficacy

Identifiers

PMID41326445
PMCPMC12669738

What OpenQuestion holds

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Registered trials

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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.