Evidence map›Paper›PMID 40750647›Full record

ArticleScientific reports2025

Validated thermal model for bacterial survival in fire-resistant self-healing concrete.

Ajitanshu Vedrtnam, Kishor Kalauni, M T Palou

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

3 authors.

Ajitanshu VedrtnamInstitute of Construction and Architecture, Slovak Academy of Science, Bratislava, 84503, Slovakia. ajitanshu.m@invertis.org.
Kishor KalauniInstitute of Construction and Architecture, Slovak Academy of Science, Bratislava, 84503, Slovakia.
M T PalouInstitute of Construction and Architecture, Slovak Academy of Science, Bratislava, 84503, Slovakia.

Funding

European Commission Marie Skłodowska-Curie Grant Agreement No 945478
6 · The paper itself

Abstract

Bacteria-based self-healing concrete offers a sustainable solution to extend the service life of infrastructure by autonomously sealing cracks through microbial calcium carbonate precipitation. However, under fire conditions, the survival of encapsulated bacteria remains uncertain due to extreme temperatures that compromise biological activity and structural integrity. This study introduces a validated heat transfer model to estimate how long encapsulated bacteria can survive during fire exposure following ISO 834 conditions. The model incorporates radial heat diffusion, thermal properties of multi-layer encapsulation, and bacterial inactivation thresholds. Experimental data from our earlier study, including additional unpublished experimental insights, are used to validate the model across temperatures ranging from 200 °C to 800 °C. Simulations showed that carbon fiber-cement paste encapsulation can slow heat entry and help bacteria survive for nearly 20 h at 200 °C and about 4 h at 800 °C. In contrast, gelatin-based encapsulations degraded rapidly and failed to protect bacteria beyond 200 °C. Sensitivity analysis demonstrated that encapsulation thickness critically influences survival, with layers ≥ 1.75 mm providing significantly longer protection. This modelling framework, validated using prior experimental results on bacterial viability under fire exposure, provides a predictive basis for evaluating microbial survival in self-healing concrete systems employing multilayer encapsulation. The findings provide practical insights into optimizing encapsulation strategies to preserve bacterial functionality and enable post-fire self-healing in concrete structures.

Indexed as

BacteriaConstruction MaterialsFiresMicrobial ViabilityHot TemperatureModels, TheoreticalTemperatureBacterial encapsulationFire resistanceHeat transfer modellingSelf-healing concreteThermal durability

Identifiers

PMID40750647
PMCPMC12316952

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.