Evidence map›Paper›PMID 41502671›Full record

ArticleACS omega2025

Tailoring Graphene Oxide-Infused Hydroxyapatite Coatings on Titanium: Electrochemical Insights and Simulation for Enhanced Bone Implant Performance.

Vignesh R, Balasubramani Velusamy, Sankara Narayanan T S Nellaiappan, Sridhar T M

Abstract read
In one paragraph

Article in ACS omega, 2025. 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. Review
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.

Vignesh RDepartment of Analytical Chemistry, University of Madras, Chennai 600 025, India.
Balasubramani VelusamyLaboratory of Functional Molecules and Materials, Shandong University of Technology, Zibo 255000, China.
Sankara Narayanan T S NellaiappanDepartment of Analytical Chemistry, University of Madras, Chennai 600 025, India.
Sridhar T MDepartment of Analytical Chemistry, University of Madras, Chennai 600 025, India.ORCID https://orcid.org/0000-0002-9492-8322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inspired by the self-healing capabilities of skeletal tissues, advanced osteoinductive treatments, such as calcium phosphate ceramics, have been developed to improve bone repair. Hydroxyapatite (HAP), renowned for its osteoconductive and osteoinductive properties, is commonly used in dental and orthopedic implants. However, HAP's mechanical limitations under load-bearing conditions drive the need for composites that incorporate reinforcing materials. Graphene, with its superior surface area, conductivity, mechanical strength, and biocompatibility, is an ideal candidate for enhancing HAP composites. This study explores the development of graphene oxide (GO)-based nano HAP (n-HAP/GO) composite coating via electrophoretic deposition (EPD) on titanium (Grade-2) surfaces, optimizing deposition voltages (60-90 V) and time (3 min) to achieve uniform, adherent, and crack-free coatings. Various characterization techniques, including high-resolution transmission electron microscopy (HR-TEM), high-resolution scanning electron microscopy (HR-SEM), optical microscope, contact angle measurement, and electrochemical analyses (open circuit potential (OCP), potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS)), were employed to assess morphology, bioactivity, and corrosion resistance. Results indicate that coatings deposited at 80 V for 3 min exhibited better characteristics including reduced porosity, enhanced hydrophilicity, and improved corrosion resistance, which records the highest corrosion potential (

Identifiers

PMID41502671
PMCPMC12771035

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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.