Evidence map›Paper›PMID 42688626›Full record

ArticleJournal of dental sciences2026

Antibacterial tannic acid/polydopamine hybrid coatings for titanium implants.

Xu-Fan Yang, Jia-Jia Chung, Chun-Cheng Chen, Shinn-Jyh Ding

Abstract read
In one paragraph

Article in Journal of dental sciences, 2026. 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

4 authors.

Xu-Fan Yang *School of Dentistry, Chung Shan Medical University, Taichung City, Taiwan.
Jia-Jia Chung *Institute of Oral Science, Chung Shan Medical University, Taichung City, Taiwan.
Chun-Cheng ChenSchool of Dentistry, Chung Shan Medical University, Taichung City, Taiwan.
Shinn-Jyh DingSchool of Dentistry, Chung Shan Medical University, Taichung City, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: Bacterial infections pose a significant threat to the longevity of titanium (Ti) implants, often leading to implant failure and peri-implantitis. This study aimed to improve the antibacterial properties of Ti implants by modifying their surfaces with tannic acid (TA) and polydopamine (PDA) as an antibiotic-free strategy. Materials and methods: Four different concentrations of TA (2, 4, 8, and 16 mg/mL) in Tris buffer served as the deposition solution. TA-based coatings, both with and without the addition of PDA, were applied to Ti substrates via a simple drop-coating approach. The phase composition and microstructure of the coated samples were examined. The antibacterial performance of the coatings against Results: The surface characterization confirmed the successful formation of the coating; however, high concentrations of TA resulted in surface cracking. Importantly, incorporating PDA improved the structural integrity of the hybrid coating without compromising its antibacterial efficacy. Coatings with higher TA loading, specifically 8 mg/mL and 16 mg/mL, effectively eliminated both bacterial strains, achieving a bacteriostatic ratio exceeding 90 %. Furthermore, cytotoxicity assays demonstrated good cytocompatibility for all coatings, although a slight decline in cell viability was observed with increasing TA concentration. Conclusion: This study highlighted that the coating formulated with 8 mg/mL TA in combination with PDA provided an optimal balance between antibacterial efficacy, structural integrity, and cytocompatibility. This cost-effective and straightforward coating showed promising potential for use in antibacterial titanium implants.

Indexed as

AntibacterialCytotoxicityDopamineTannic acidTitanium

Identifiers

PMID42688626
PMCPMC13536339

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.