Evidence map›Paper›PMID 41477493›Full record

ArticleHeliyon2025

Biogenic hydroxyapatite-zinc oxide nanocomposites: A synergistic strategy for antibacterial and osteoconductive coatings on orthopedic implants.

Mohaddeseh Fatemi, Zohreh Bahrami, Marjan Bahraminasab, Farideh Nabizadeh Chianeh

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Mohaddeseh FatemiDepartment of Nanotechnology, Faculty of New Sciences and Technologies, Semnan University, Semnan, Iran.
Zohreh BahramiDepartment of Nanotechnology, Faculty of New Sciences and Technologies, Semnan University, Semnan, Iran.
Marjan BahraminasabDepartment of Tissue Engineering and Applied Cell Sciences, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
Farideh Nabizadeh ChianehDepartment of Chemistry, Faculty of Chemistry, Semnan University, Semnan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the biointegration of orthopedic implants with surrounding tissues is a key focus in biomaterials science. However, surfaces that enhance osteointegration may also promote bacterial colonization, leading to infections. Therefore, it is essential to balance the need for bacterial resistance with the promotion of cell attachment for osteointegration, particularly for titanium and its alloys. This investigation aimed to study the feasibility of co-depositing natural-source synthesized hydroxyapatite (HAp) nanoparticles and zinc oxide (ZnO) particles using the electrophoretic deposition technique. The goal was to create a multifunctional surface that could simultaneously accelerate bone growth and reduce the risk of infection. Five groups of coatings were prepared with different weight percentages of HAp and ZnO: 100:0, 75:25, 50:50, 25:75, and 0:100. The co-deposition was conducted on Ti6Al4V sheets for 5 min at a voltage of 90 V. The microstructure and phase composition of the synthesized powders were first analyzed. Then, the properties of the co-deposited coatings were evaluated through bioactivity and antibacterial tests. The microstructural investigation revealed crack-free coatings with a uniform distribution of particles. Comparing the antibacterial results among different groups indicated that the 50:50, 25:75 and 0:100 HAp/ZnO samples exhibited antibacterial activity against both

Indexed as

Antibacterial propertiesBioactivityElectrophoretic deposition techniqueHAp-ZnO nanocomposite coatingsTi6Al4V implants

Identifiers

PMID41477493
PMCPMC11909477

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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.