Evidence map›Paper›PMID 41858945›Full record

ArticleACS sustainable chemistry & engineering2026

Self-Cleaning Mechano-Bactericidal Surfaces by Metal-Organic Framework Embedded Polycaprolactone Composites.

Zhejian Cao, Nihal Kottan, Santosh Pandit, Jian Zhang, Maria Faresjö, Francoise M Amombo Noa, Lars Öhrström, Ivan Mijakovic

Abstract read
In one paragraph

Article in ACS sustainable chemistry & engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Zhejian CaoDepartment of Life Sciences, Chalmers University of Technology, Gothenburg SE-41296, Sweden.ORCID https://orcid.org/0000-0002-3216-6270
Nihal KottanDepartment of Life Sciences, Chalmers University of Technology, Gothenburg SE-41296, Sweden.
Santosh PanditDepartment of Life Sciences, Chalmers University of Technology, Gothenburg SE-41296, Sweden.ORCID https://orcid.org/0000-0002-8357-758X
Jian ZhangDepartment of Life Sciences, Chalmers University of Technology, Gothenburg SE-41296, Sweden.ORCID https://orcid.org/0000-0002-6358-7158
Maria FaresjöDepartment of Life Sciences, Chalmers University of Technology, Gothenburg SE-41296, Sweden.
Francoise M Amombo NoaDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg SE-41296, Sweden.ORCID https://orcid.org/0000-0001-8361-3432
Lars ÖhrströmDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg SE-41296, Sweden.ORCID https://orcid.org/0000-0002-6420-2141
Ivan MijakovicDepartment of Life Sciences, Chalmers University of Technology, Gothenburg SE-41296, Sweden.ORCID https://orcid.org/0000-0002-8860-6853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechano-bactericidal (MB) surfaces mitigate the formation of bacterial biofilm through physical interactions without the use of antibiotics. One challenge of MB surfaces is that unremoved dead bacteria and other debris on MB surfaces could impede contact between bacteria and surface nanostructures, thus reducing their bactericidal efficiency. Herein, we report metal-organic framework (MOF)-polycaprolactone (PCL) composites as self-cleaning MB surfaces. The MIL-88B-on-UiO-66 (MoU) hybrids with nano features provide MB actions and PCL with biodegradability enables surface cleaning and refreshment. The MoU-PCL composite demonstrated effective antibacterial performance toward

Indexed as

biodegradablebiofilmmechano-bactericidal surfaceMOFpolycaprolactone

Identifiers

PMID41858945
PMCPMC12997249

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.