Evidence map›Paper›PMID 42275312›Full record

ArticlePloS one2026

ZIF-8-coated 3D-printed PCL/ion-doped BCP scaffolds for enhanced bone regeneration.

Vahid Khademi Ardakani, Niloufar Boroumand, Ghasem Dini, Mohsen Golabi, Maryam Abdollahi Asl

Abstract read
In one paragraph

Article in PloS one, 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

5 authors.

Vahid Khademi ArdakaniDepartment of Biotechnology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
Niloufar BoroumandDepartment of Biotechnology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
Ghasem DiniDepartment of Nanotechnology, Faculty of Chemistry, University of Isfahan, Isfahan, Iran.ORCID https://orcid.org/0000-0002-0405-8424
Mohsen GolabiDepartment of Biotechnology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
Maryam Abdollahi AslDepartment of Nanotechnology, Faculty of Chemistry, University of Isfahan, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large bone defects require bioactive, mechanically robust scaffolds for regeneration. This study developed 3D-printed polycaprolactone/biphasic calcium phosphate (PCL/BCP) composite scaffolds (35-45 wt% ion-doped BCP with Sr2+, Mg2+, and Si4+) via fused deposition modeling (FDM), followed by in situ ZIF-8 coating. The optimal PCL + 40 wt.% ion-doped BCP formulation exhibited superior compressive strength (~30 MPa) and modulus (~ 0.4 GPa). Degradation in Phosphate-buffered saline (PBS) showed ~8% mass loss over 28 days with stable pH. Immersion in simulated body fluid (SBF) revealed rapid apatite formation and sustained release of Ca2+, P, Mg2+, Si4+, and Sr2+ ions. SEM confirmed uniform nanoscale ZIF-8 deposition, enriching surfaces with Zn2+. In vitro assays with MG-63 cells and hBMSCs demonstrated that ZIF-8-coated scaffolds significantly enhanced cell adhesion, proliferation (MTT), cytoskeletal organization (DAPI/phalloidin), and mineralization (Alizarin Red S) compared to uncoated controls (p < 0.05). The synergistic integration of ion-doped BCP, 3D printing, and ZIF-8 coating yields a bioactive, biodegradable platform with excellent osteogenic potential for advanced bone tissue engineering.

Indexed as

Bone RegenerationCalcium PhosphatesPolyestersPrinting, Three-DimensionalTissue ScaffoldsCell AdhesionCell LineCell ProliferationHumansOsteogenesisTissue Engineeringcalcium phosphateCalcium PhosphatespolycaprolactonePolyesters

Identifiers

PMID42275312
PMCPMC13257968

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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.