Evidence map›Paper›PMID 40301433›Full record

ArticleScientific reports2025

Analysis of corrosion, surface roughness, and ıon release of orthodontic brackets in simulated gastric acid and saliva.

Dilara Gülhan Umurca, Rafat Sasany, Muzaffer Gülyurt

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Dilara Gülhan UmurcaDepartment of Othodontics, Faculty of Dentistry, Biruni University, İstanbul, Turkey. gumurca@biruni.edu.tr.
Rafat SasanyDepartment of Prosthodontics, Faculty of Dentistry, Biruni University, İstanbul, Turkey.
Muzaffer GülyurtDepartment of Othodontics, Faculty of Dentistry, Biruni University, İstanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to assess the ion release (Ni, Cr) and surface roughness of metal (M), self-ligating (SL), and ceramic (C) orthodontic brackets after exposure to simulated gastric acid (pH 1.5, pH 3.0) and artificial saliva (pH 7.0). A total of 198 brackets, metal brackets (M) (n = 66) self-ligating (SL) (n = 66), and ceramic brackets (C) (n = 66) were used in this study. Gastric solutions mimicking human gastroesophageal reflux with a pH of 1, 5 or 3 and as a control group pH of 7 (artificial saliva) were used. All specimens were immersed in test solutions for 30 min, 24 h, and 1 month (n = 22 per group). Inductively coupled plasma-mass spectrometry (ICP-MS) measured ion release, while an optical profilometer assessed surface roughness. Data were analyzed using One-way ANOVA and t-tests (p < 0.05). Ni and Cr ion release peaked at 24 h and decreased by 1 month (p < 0.05). SL brackets released the most ions, particularly in acidic conditions (p < 0.05). Surface roughness was highest at 24 h, then decreased (p < 0.001), with M brackets showing the greatest roughness and C brackets the lowest (p < 0.001). M and SL brackets had the highest roughness at pH 1.5, while C brackets peaked at pH 3.0 (p < 0.001). Acidic conditions significantly impact ion release and surface roughness. Ceramic brackets may be advantageous for patients with reflux disease, offering reduced corrosion and surface alterations.

Indexed as

Gastric AcidOrthodontic BracketsSalivaCeramicsChromiumCorrosionHumansHydrogen-Ion ConcentrationMaterials TestingNickelSaliva, ArtificialSurface PropertiesChromiumNickelSaliva, ArtificialCeramic bracketCorrosionGastroesophageal refluxMetal bracketSelf-ligating bracket

Identifiers

PMID40301433
PMCPMC12041320

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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.