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Benati MRL, Kury M, de Melo PBG, Matos ICRT, Basting RT, Basting RT, Florez FLE, Cavalli V. Characterization and effects on enamel of low-concentration bleaching gels containing hyaluronic acid, NF_TiO 2 nanoparticles and irradiated with violet LED light. Clin Oral Investig 2025; 29:279. [PMID: 40304783 DOI: 10.1007/s00784-025-06354-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2024] [Accepted: 04/18/2025] [Indexed: 05/02/2025]
Abstract
OBJECTIVE To characterize and evaluate experimental in-office bleaching gels containing hyaluronic acid (HA) or carbomer 940 (CAR), enriched with NF_TiO₂ nanoparticles and irradiated with a violet LED, assessing their effects on the physicochemical properties of enamel. MATERIALS AND METHODS Bovine enamel-dentin discs were treated according to the parameters: thickener (HA or CAR), HP concentration (1.5% or 6%), and irradiation (with or without LED), resulting in 9 experimental groups (n = 10/group). An additional control group (35%HP-commercial) was adopted, and three sessions were conducted (30 min each, with a 7-day interval). Gels were evaluated for pH, particle size, polydispersity index, zeta potential and rheological behavior. Samples were assessed for color change (ΔE00), whiteness index (ΔWID), Ca/P ratio (EDS), surface microhardness (KHN), roughness (ΔRa), and surface morphology (SEM). Data were analyzed using ANOVA three-way and Tukey/Bonferroni (α = 5%). RESULTS pH remained stable above 6.0. Hyaluronic-based gels exhibited higher particle size and polydispersity, but lower zeta potential and less viscous rheological behavior compared to the carbomer-based ones (p < 0.05). LED light significantly increased ΔE00 and ΔWID for all gels, with HA-1.5%HP and HA-6%HP + LED achieving comparable ΔWID to 35%HP-commercial (p > 0.05). Hyaluronic-based gels groups irradiated with LED increased Knoop microhardness (p < 0.05). No significant changes were found in ΔRa, Ca/P ratio, or enamel morphology (p > 0.05). CONCLUSION Experimental hyaluronic or carbomer bleaching gels incorporated with NF_TiO2 nanoparticles and irradiated with violet LED showed minimal variations in physicochemical properties, effective bleaching even at low HP concentrations, and no enamel damage. CLINICAL RELEVANCE Innovative bleaching gel formulations incorporating hyaluronic acid, NF_TiO₂ nanoparticles, and violet LED light irradiation exhibit high efficacy even at low hydrogen peroxide concentrations, thereby minimizing enamel damage and potentially mitigating post-operative sensitivity.
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Affiliation(s)
- Marcos Roberto Lima Benati
- Department of Restorative Dentistry, University of Campinas- Piracicaba Dental School (FOP- UNICAMP), Piracicaba, SP, Brazil
| | - Matheus Kury
- Graduate Program in Dentistry, Paulista University (UNIP), São Paulo, SP, Brazil
| | - Priscila Borges Gobbo de Melo
- Department of Restorative Dentistry, University of Campinas- Piracicaba Dental School (FOP- UNICAMP), Piracicaba, SP, Brazil
| | - Iago César Ribeiro Teles Matos
- Department of Restorative Dentistry, University of Campinas- Piracicaba Dental School (FOP- UNICAMP), Piracicaba, SP, Brazil
| | | | - Rosanna Tarkany Basting
- Laboratory of Neuroimmune Interface of Pain Research, Faculdade São Leopoldo Mandic, Campinas, SP, Brazil
| | | | - Vanessa Cavalli
- Department of Restorative Dentistry, University of Campinas- Piracicaba Dental School (FOP- UNICAMP), Piracicaba, SP, Brazil.
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Barbosa LMM, Centenaro GG, Cordeiro DCF, Oliveira VB, Favoreto MW, Arrais CAG, Reis A, Loguercio AD. Effect of light-activation systems associated with whitening pens in the bleaching efficacy and hydrogen peroxide permeability. J Dent 2025; 155:105630. [PMID: 39956309 DOI: 10.1016/j.jdent.2025.105630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2025] [Accepted: 02/14/2025] [Indexed: 02/18/2025] Open
Abstract
OBJECTIVE To evaluate the bleaching efficacy and hydrogen peroxide (HP) permeability of whitening pens, with and without light-activation systems. Also, pulp temperature and physicochemical properties were assessed, as well as the characterization of the light sources. MATERIAL AND METHODS Ninety premolars were distributed into nine groups (n = 10): untreated, Colgate Optic White Pen ComfortFit LED (CF), Colgate Optic White Pen Express (CX), Equate Teeth Whitening Kit (EW) and Zimba Teeth Whitening Kit (ZW), with and without light-activation. Bleaching efficacy (WID, ΔEab, and ΔE00) was assessed using a digital spectrophotometer. HP permeability (μg/mL) was measured by UV-Vis; initial concentration (%), pH, and pulp temperature variation (ΔT, °C) by titration, pH meter, and T-type thermocouple, respectively. Light characteristics were determined using spectroradiometer and integrating sphere. Statistical analysis included ANOVA, Tukey's, and Dunnett's tests (α = 0.05). RESULTS ZW light device exhibited the highest power and irradiance (p < 0.05). EW and ZW emitted blue light (peak: 456 nm), while CF device emitted violet light (peak: 405 nm). Light-activation did not significantly impact WID or HP permeability (p > 0.05). However, CF and CX showed greater color changes under light, when evaluated by ΔEab/ΔE00 (p < 0.05). All groups showed acidic pH; EW and ZW exhibited the highest HP concentration and permeability (p < 0.05). Pulpal temperature variations were not significant across groups (p > 0.05). CONCLUSIONS Light-activation had no significant impact on bleaching efficacy (WID) or HP permeability, regardless of HP concentration or pH. CLINICAL SIGNIFICANCE It is not essential to combine light devices with whitening pens to achieve bleaching efficacy.
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Affiliation(s)
| | - Gabrielle Gomes Centenaro
- Department of Restorative Dentistry, School of Dentistry, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil
| | | | - Vinicius Borges Oliveira
- Department of Restorative Dentistry, School of Dentistry, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil
| | - Michael Willian Favoreto
- Department of Restorative Dentistry, School of Dentistry, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil; School of Dentistry, Tuiuti University of Parana, Curitiba, Paraná, Brazil
| | - Cesar Augusto Galvao Arrais
- Department of Restorative Dentistry, School of Dentistry, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil
| | - Alessandra Reis
- Department of Restorative Dentistry, School of Dentistry, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil
| | - Alessandro D Loguercio
- Department of Restorative Dentistry, School of Dentistry, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil.
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Favoreto MW, Matos TDP, da Cruz KR, Ferraz AX, Carneiro TDS, Reis A, Loguercio AD, de Araujo CM. Prediction based on machine learning of tooth sensitivity for in-office dental bleaching. J Dent 2025; 153:105517. [PMID: 39645184 DOI: 10.1016/j.jdent.2024.105517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Revised: 11/25/2024] [Accepted: 12/04/2024] [Indexed: 12/09/2024] Open
Abstract
OBJECTIVE To develop a supervised machine learning model to predict the occurrence and intensity of tooth sensitivity (TS) in patients undergoing in-office dental bleaching testing various algorithm models. MATERIALS AND METHODS Retrospective data from 458 patients were analyzed, including variables such as the occurrence and intensity of TS, basal tooth color, bleaching material characteristics (concentration and pH), intervention details (number and duration of applications), and patient age. Classification and regression models were evaluated using 5-fold cross-validation and assessed based on various performance parameters. RESULTS For the predictive classification task (occurrence of TS), the developed models achieved a maximum area under the receiver operating characteristic curve (AUC) of 0.76 [0.62-0.88] on the test data, with an F1-score of 0.80 [0.71-0.87]. In cross-validation, the highest AUC reached 0.86 [0.84-0.88], and the highest F1-score was 0.78 [0.75-0.83]. For predicting TS intensity, the regression models demonstrated a minimum mean absolute error (MAE) of 1.76 [1.45-2.06] and a root mean square error (RMSE) of 2.38 [2.06-2.69] on the test set. During cross-validation, the lowest MAE was 1.84 [1.67-2.03], with an RMSE of 2.39 [2.20-2.58]. CONCLUSIONS The supervised machine learning model for estimating the occurrence and intensity of TS in patients undergoing in-office bleaching demonstrated good predictive power. The Gradient Boosting Classifier and Support Vector Machine Regressor algorithms stood out as having the greatest predictive power among those tested. CLINICAL RELEVANCE These models can serve as valuable tools for anticipating tooth sensitivity in this patient population, facilitating better post-treatment management and control.
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Affiliation(s)
- Michael Willian Favoreto
- Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395, Santo Inácio, Curitiba, Paraná 82010-210, Brazil; Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná 84030-900, Brazil.
| | - Thalita de Paris Matos
- Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395, Santo Inácio, Curitiba, Paraná 82010-210, Brazil.
| | - Kaliane Rodrigues da Cruz
- Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395, Santo Inácio, Curitiba, Paraná 82010-210, Brazil.
| | - Aline Xavier Ferraz
- Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395, Santo Inácio, Curitiba, Paraná 82010-210, Brazil.
| | - Taynara de Souza Carneiro
- Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná 84030-900, Brazil; Area of Stomatology, IDIBO research group, Health Sciences Faculty, Rey Juan Carlos University, Madrid, Spain.
| | - Alessandra Reis
- Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná 84030-900, Brazil.
| | - Alessandro D Loguercio
- Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná 84030-900, Brazil.
| | - Cristiano Miranda de Araujo
- Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395, Santo Inácio, Curitiba, Paraná 82010-210, Brazil.
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Castro GG, Pinto PA, Favoreto MW, Reis A, Viviana-Mora M, de Miranda RDCM, Cardenas AFM, Loguercio AD, Tavarez RRDJ. Bleaching efficacy of in-office bleaching with violet light using low-concentration hydrogen peroxide nanoparticulate photocatalyst gel: A randomized controlled trial. Photodiagnosis Photodyn Ther 2024; 50:104410. [PMID: 39586392 DOI: 10.1016/j.pdpdt.2024.104410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Revised: 10/21/2024] [Accepted: 11/20/2024] [Indexed: 11/27/2024]
Abstract
OBJECTIVE This randomized controlled trial aimed to evaluate the bleaching efficacy and tooth sensitivity (TS) of participants submitted to different application protocols of in-office bleaching with violet light using 6 % hydrogen peroxide (HP) nanoparticulate photocatalyst gel. MATERIALS AND METHODS Sixty-six participants were randomized and bleached using either a 6 % HP (Nano White, DMC), and/or violet light (Bright Max Whitening, MMOptics), according to the following protocols: 1) only violet light (VIOL); 2) only bleaching gel application (BG) and; 3) combined bleaching gel application + violet light (BG+VIOL). The bleaching efficacy was evaluated with the Vita Easyshade spectrophotometer, Vita Classical and Vita Bleachedguide scales. The risk and intensity of TS were recorded using a 0-10 visual analogue scale (VAS) and a 0-4 numerical scale (NRS). Color change and intensity of TS values were compared using one-way ANOVA and Tukey's test were used. The absolute risk of TS was compared using the Chi-square test (α = 0.05). RESULTS A significant and higher degree of bleaching was observed in the BG and BG+VIOL groups compared to the VIOL group (p < 0.003). Despite no significant differences in the risk (p > 0.07) and intensity (p > 0.28) of TS among groups, a higher risk of TS was observed in the BG and BG+VIOL groups. CONCLUSIONS Using VIOL reduced the risk of TS but did not improve bleaching. However, BG+VIOL with low-concentration HP nanoparticulate photocatalyst gel achieved equal efficacy and was less likely to cause TS compared to BG.
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Affiliation(s)
| | | | - Michael Willian Favoreto
- Department of Restorative Dentistry, State University of Ponta Grossa, Parana, Brazil; School of Dentistry, Tuiuti University, Curitiba, Paraná, Brazil
| | - Alessandra Reis
- Department of Restorative Dentistry, State University of Ponta Grossa, Parana, Brazil
| | - Maria Viviana-Mora
- Facultad de Ciencias de la Salud, Carrera de Odontologia, Universidad De Los Hemisferios, Quito, Ecuador
| | | | | | - Alessandro D Loguercio
- Department of Restorative Dentistry, State University of Ponta Grossa, Parana, Brazil; Facultad de Ciencias de la Salud, Carrera de Odontologia, Universidad De Los Hemisferios, Quito, Ecuador.
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Murr CG, Favoreto MW, da Silva KL, Borges CPF, Loguercio AD, Reis A, Antunes SRM. Synthesis and characterization of different nano-hydroxyapatites and their impact on dental enamel following topical application for dental bleaching. J Dent 2024; 149:105291. [PMID: 39117099 DOI: 10.1016/j.jdent.2024.105291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Revised: 08/03/2024] [Accepted: 08/05/2024] [Indexed: 08/10/2024] Open
Abstract
OBJECTIVE This study aims to synthesize, characterize, and assess the penetration of hydrogen peroxide (HP), color change (CC), and surface morphology changes after the application of two distinct nano-hydroxyapatite (nano-HAp). METHODS Two nano-HAp were previously synthesized by co-precipitation: one with rod-shaped particles (RS) and the other with spherical-shaped particles (SS). The surface charge of the nano-HAp particles was determined at varying pH levels and characterized by X-ray diffraction patterns and Fourier transform infrared spectroscopy. The morphology of the samples was assessed using scanning electron microscopy (SEM). The nano-HAp particles were applied before the dental bleaching procedure. Forty teeth were divided into four groups (n = 10) according to the bleaching treatment: no treatment, bleaching with 35 % HP only, RS application and bleaching with 35 % HP, and SS application and bleaching with 35 % HP. HP concentration (µg mL-1) was measured using UV-Vis, while CC was evaluated with a digital spectrophotometer (ΔEab, ΔE00 and WID). Additionally, four teeth from each group were selected for SEM analysis. Statistical analysis encompassed one-way ANOVA, Tukey's, and Dunnet's tests. RESULTS RS and SS were successfully synthesized by coprecipitation, primarily differing in pH during synthesis. Both variations of nano-HAp morphology significantly reduced HP diffusion into the pulp chamber (p < 0.001). Regarding enamel morphology, groups analyzed post dental bleaching exhibited greater HAp deposition on the enamel surface. Notably, this deposition did not impede CC. SIGNIFICANCE The utilization of different nano-HAp morphologies prior to dental bleaching appears to be a promising strategy for mitigating adverse effects associated with dental bleaching procedures.
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Affiliation(s)
- Carlos Guilherme Murr
- Department of Chemistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Ponta Grossa, Paraná, 84030-900, Brazil
| | - Michael Willian Favoreto
- Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná, 84030-900, Brazil.; Department of Restorative Dentistry, Tuiuti University of Parana, Padre Ladislau Kula, 395 - Santo Inácio, Curitiba, Paraná, 82010-210, Brazil
| | - Karine Letícia da Silva
- Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná, 84030-900, Brazil
| | | | - Alessandro D Loguercio
- Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná, 84030-900, Brazil
| | - Alessandra Reis
- Department of Restorative Dentistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Bloco M, Sala 04, Ponta Grossa, Paraná, 84030-900, Brazil..
| | - Sandra Regina Masetto Antunes
- Department of Chemistry, State University of Ponta Grossa, Avenida Carlos Cavalcanti, 4748, Ponta Grossa, Paraná, 84030-900, Brazil
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