Evidence map›Paper›PMID 42192345›Full record

ArticleBMC oral health2026

Synergistic effect of Er, Cr: YSGG laser and nano-hydroxyapatite on the remineralization of initial enamel lesions: a microhardness, surface roughness and SEM analysis.

Ecehan Kaplan, Sergen Özdemir, Ayşe Dündar, Çağatay Barutçugil, Edip Bayram

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Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ecehan KaplanDepartment of Restorative Dentistry, Faculty of Dentistry, Antalya Bilim University, Antalya, 07040, Türkiye. ecehan.kaplan@antalya.edu.tr.ORCID 0000-0001-6203-8395
Sergen ÖzdemirPrivate Practice, Antalya, Türkiye.ORCID 0000-0002-4009-4318
Ayşe DündarDepartment of Restorative Dentistry, Faculty of Dentistry, DDS, Akdeniz University, Antalya, Türkiye.ORCID 0000-0001-6373-6267
Çağatay BarutçugilDepartment of Restorative Dentistry, Faculty of Dentistry, DDS, Akdeniz University, Antalya, Türkiye.ORCID 0000-0002-5321-2299
Edip BayramDepartment of Chemistry, Institute of Natural and Applied Sciences, Akdeniz University, Antalya, Türkiye, Turkey.ORCID 0000-0001-9800-7451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInitial enamel lesions represent a reversible stage of dental caries, yet conventional remineralization methods often face challenges in acid resistance. This study aimed to evaluate the synergistic effect of Er, Cr: YSGG laser and nano-hydroxyapatite (nano-HA) on the remineralization of initial enamel lesions and their sustainability against subsequent acid challenges.

methodsOne hundred bovine incisors were used to create artificial white spot lesions. Specimens were randomly assigned to five groups (n = 20): G1 (CPP-ACP + F), G2 (Nano-HA), G3 (Er, Cr: YSGG laser), G4 (Laser + Nano-HA), and G5 (Nano-HA + Laser). After treatment, specimens underwent a 10-day pH-cycling protocol (6 h demineralization/18 h artificial saliva). Surface microhardness (Vickers), surface roughness (Ra), and surface morphology (SEM) were evaluated at three stages: post-demineralization, post-remineralization, and post-pH-cycling. Data were analyzed using Two-way and Repeated Measures ANOVA with Tukey HSD post-hoc tests (p < 0.05).

resultsLaser-assisted groups (G3, G4, and G5) exhibited significantly higher microhardness values compared to G1 and G2 across all stages (p < 0.05). Following pH-cycling, G4 (Laser + Nano-HA) showed significantly higher hardness preservation compared to G5 (Nano-HA + Laser) (p < 0.05). While laser application significantly increased surface roughness in all measurement stages (p < 0.05), the application of nano-HA in G4 and G5 partially masked these irregularities. SEM analysis confirmed that G4 provided a more compact and homogeneous mineral layer, with fewer longitudinal cracks after acid challenge compared to other groups.

conclusionsThe combination of Er, Cr: YSGG laser and nano-HA, particularly when the laser is applied first, significantly enhances the remineralization efficacy and acid resistance of enamel. This synergistic approach offers a promising clinical alternative for the long-term management of initial caries lesions.

Indexed as

Dental CariesDental EnamelDurapatiteLasers, Solid-StateTooth RemineralizationAnimalsCattleHardnessHydrogen-Ion ConcentrationMicroscopy, Electron, ScanningSurface PropertiesDurapatiteCr:YSGG laserEnamelErMicrohardnessNano-hydroxyapatiteRemineralizationSurface roughness

Identifiers

PMID42192345
PMCPMC13474778

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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.