Identification of chemicals leaching from dental resin-based materials after in vitro chemical and salivary degradation

Vervliet, Philippe; Nys, Siemon De; Duca, Radu Corneliu; Boonen, Imke; Godderis, Lode; Elskens, Marc; Landuyt, Kirsten Van

doi:10.1016/j.dental.2021.10.006

Cited by 10 publications

(12 citation statements)

References 21 publications

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“…Several of the same chemical degradation products were identified here as in previous studies. , Prior work also identified compounds commonly used in dental materials formulation from long-term leaching that were not identified here, including 2-hydroxylethyl methacrylate (HEMA) and photoinitiator compound camphorquinone (CQ) . However, both HEMA and CQ can be difficult to detect by LC coupled with the MS methods used here.…”

Section: Discussionsupporting

confidence: 63%

“…The long-term release of monomers occurs through chemical, mechanical, bacterial, and/or thermal degradation. For example, hydrolysis reactions catalyzed by acids, bases, and/or enzymes in the oral environment can occur through the siloxane bond and cause polymers to break down into monomers, oligomers, and other degradation products. , Degradation products leached from dental composites have been identified by chromatographic separation , and single-stage mass spectrometry. , Liquid chromatography (LC) coupled to tandem mass spectrometry (MS/MS) has also been used to positively identify original organic monomers, bisphenol A, and other organic degradation products from dental composites. − …”

Section: Introductionmentioning

confidence: 99%

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Logistic Regression Analysis of LC-MS/MS Data of Monomers Eluted from Aged Dental Composites: A Supervised Machine-Learning Approach

et al. 2023

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Compound identification by database searching that matches experimental with library mass spectra is commonly used in mass spectrometric (MS) data analysis. Vendor software often outputs scores that represent the quality of each spectral match for the identified compounds. However, software-generated identification results can differ drastically depending on the initial search parameters. Machine learning is applied here to provide a statistical evaluation of software-generated compound identification results from experimental tandem MS data. This task was accomplished using the logistic regression algorithm to assign an identification probability value to each identified compound. Logistic regression is usually used for classification, but here it is used to generate identification probabilities without setting a threshold for classification. Liquid chromatography coupled with quadrupole-time-of-flight tandem MS was used to analyze the organic monomers leached from resinbased dental composites in a simulated oral environment. The collected tandem MS data were processed with vendor software, followed by statistical evaluation of these results using logistic regression. The assigned identification probability to each compound provides more confidence in identification beyond solely by database matching. A total of 21 distinct monomers were identified among all samples, including five intact monomers and chemical degradation products of bisphenol A glycidyl methacrylate (BisGMA), oligomers of bisphenol-A ethoxylate methacrylate (BisEMA), triethylene glycol dimethacrylate (TEGDMA), and urethane dimethacrylate (UDMA). The logistic regression model can be used to evaluate any database-matched liquid chromatography-tandem MS result by training a new model using analytical standards of compounds present in a chosen database and then generating identification probabilities for candidates from unknown data using the new model.

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Section: Discussionsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Logistic Regression Analysis of LC-MS/MS Data of Monomers Eluted from Aged Dental Composites: A Supervised Machine-Learning Approach

et al. 2023

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“…It has been observed that up to 30 min following the completion of composite restoration, residual monomers and other degradation products can be isolated from saliva to peak levels. In addition, degradation products can be released into the oral environment for up to 24 h [43]. Partially polymerized monomers secondarily foster bacterial adhesion on surfaces, consequently promoting the development of dental plaque [44].…”

Section: Discussionmentioning

confidence: 99%

Investigation of the Degree of Monomer Conversion in Dental Composites through Various Methods: An In Vitro Study

Ucuncu,

Celiksoz,

Sen

et al. 2024

Applied Sciences

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The degree of monomer conversion (DC) values of three different dental composites were examined using three different methods: surface microhardness (ratio of bottom/top), Fourier-transform infrared (FT-IR), and differential scanning calorimetry (DSC). Two of the dental composites included in the study were nanohybrid (Dentsply Neo Spectra ST HV and Omnichroma), and one was a microhybrid-labeled newly marketed composite containing nanoparticles (Dentac Myra). Composite discs were prepared according to the methodology for all methods and analyzed (2 mm thickness × 5 mm diameter). Surface microhardness values were measured in Vickers Hardness Number (VHN), while FT-IR and DSC values were obtained in percentage (%). Significant differences were observed in both bottom/top surface microhardness values and DC values obtained from FT-IR. However, there was no statistical difference in the ratio of bottom/top microhardness values. Neo Spectra ST HV exhibited superior performance in both microhardness and monomer conversion compared to the other two composites. Newly marketed Myra showed values close to Omnichroma. It was found that the values obtained by the DSC method were parallel to those obtained by FT-IR. In conclusion, the structure of dental composites leads to different mechanical properties. Additionally, DSC measurements and FTIR spectra were found to be complementary techniques for characterizing monomer conversion values.

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“…The DC% values of the composite attachments cured under the aligners were significantly lower than the DC% values of the composite attachments cured in the absence of any aligner. Although this may affect the mechanical properties of the attachments, a critical issue emerging is the biocompatibility of composite attachments as a result of the release of monomers or byproducts, a concern raised over the years for orthodontic adhesives and restorative resin composites [29][30][31][32][33]. As all attachment surfaces, except for the one bonded to tooth, are exposed intra-orally, resulting in a high freesurface/volume ratio [4] and are subjected to additional forces from the aligner, the amount of leachable components, including residual monomers, oxidation products of pendant C = C groups, abraded particulate material, and other elements, may be increased.…”

Section: Discussionmentioning

confidence: 99%

Degree of cure of orthodontic composite attachments underneath aligners

Lasance,

Koletsi,

Eliades

et al. 2023

European J Oral Sciences

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The aim of this study was to assess the percentage degree of cure (DC%) of 2‐mm‐thick resin composite attachments used for aligner treatment. Three types of aligner – two thermoformed aligners (Clear Aligner [CLA], polyethylene terephthalate glycol modified; and Invisalign [INV], polyester urethane) and a three‐dimensional‐printed aligner (Graphy TC‐85DAC [GRP], an acrylate‐methacrylate copolymer) – were selected, along with two universal resin composites (3M Filtek Universal [FTU] and Charisma Topaz ONE [CTO]). Samples of each composite were placed under each aligner, and the degree of cure of each composite was evaluated on the top (facing the aligner) and the bottom (facing the substrate) attachment surfaces after curing. Five specimens were used per combination of aligner and composite, and an additional group of composites irradiated without aligners served as the control. The DC% measurements were performed using attenuated total reflection Fourier transform infrared (ATR‐FTIR) spectroscopy. The DC% across the aligners were (median values) 33.8%–44.8% for CLA, 33.6%–40.8% for INV, 32.8%–40.6% for GRP, and 40.0%–51.7% for the control group. The DC% values of the attachments cured under any aligner were significantly lower than that of the corresponding control, with the values recorded on the top surfaces being 6% higher than those on the bottom surfaces after adjusting for aligner group and composite type.

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Identification of chemicals leaching from dental resin-based materials after in vitro chemical and salivary degradation

Cited by 10 publications

References 21 publications

Logistic Regression Analysis of LC-MS/MS Data of Monomers Eluted from Aged Dental Composites: A Supervised Machine-Learning Approach

Logistic Regression Analysis of LC-MS/MS Data of Monomers Eluted from Aged Dental Composites: A Supervised Machine-Learning Approach

Investigation of the Degree of Monomer Conversion in Dental Composites through Various Methods: An In Vitro Study

Degree of cure of orthodontic composite attachments underneath aligners

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