Raman Spectroscopy: Application in Periodontal and Oral Regenerative Surgery for Bone Evaluation

Gatin, Eduard; Nagy, Pál; Păun, Irina Alexandra; Dubok, Oleksii; Bucur, V.; Windisch, Péter

doi:10.1016/j.irbm.2019.05.002

Cited by 13 publications

(39 citation statements)

References 22 publications

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“…Hard tissues in the oral cavity include teeth (enamel, dentin, and cement) and bone, and changes in phosphate (960 cm -1 ), carbonate (960 cm -1 ), and collagen (1655 or 1667, 1246 or 1270, and 1450 cm -1 ) have attracted attention for detecting caries and defining the edge of decayed tooth tissue (Toledano et al, 2015b). In bone regeneration, OCP and amorphous HAP represent immature bone, and HAP crystals representing mature bone have been used to evaluate bone transformation (Gatin et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Based on this analysis, t bone samples before surgery and 8 months after healing revealed that the two patients' samples had peaks at 955-960 cm -1 before surgery, and only peaks at 960-965 cm -1 presented after surgery. The broad fluorescence peaks appearing at 800-900 cm -1 represented collagen, and the changes in specific peaks could be used to quantify the healing process (Gatin et al, 2019). Raman spectra clearly depict the transformation from immature to mature bone.…”

Section: Raman Spectroscopy To Depict Bone Transformationmentioning

confidence: 99%

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Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases

Zhang

Ren

Wang

et al. 2022

Front. Cell. Infect. Microbiol.

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Oral diseases impose a major health burden worldwide and have a profound effect on general health. Dental caries, periodontal diseases, and oral cancers are the most common oral health conditions. Their occurrence and development are related to oral microbes, and effective measures for their prevention and the promotion of oral health are urgently needed. Raman spectroscopy detects molecular vibration information by collecting inelastic scattering light, allowing a “fingerprint” of a sample to be acquired. It provides the advantages of rapid, sensitive, accurate, and minimally invasive detection as well as minimal interference from water in the “fingerprint region.” Owing to these characteristics, Raman spectroscopy has been used in medical detection in various fields to assist diagnosis and evaluate prognosis, such as detecting and differentiating between bacteria or between neoplastic and normal brain tissues. Many oral diseases are related to oral microbial dysbiosis, and their lesions differ from normal tissues in essential components. The colonization of keystone pathogens, such as Porphyromonas gingivalis, resulting in microbial dysbiosis in subgingival plaque, is the main cause of periodontitis. Moreover, the components in gingival crevicular fluid, such as infiltrating inflammatory cells and tissue degradation products, are markedly different between individuals with and without periodontitis. Regarding dental caries, the compositions of decayed teeth are transformed, accompanied by an increase in acid-producing bacteria. In oral cancers, the compositions and structures of lesions and normal tissues are different. Thus, the changes in bacteria and the components of saliva and tissue can be used in examinations as special markers for these oral diseases, and Raman spectroscopy has been acknowledged as a promising measure for detecting these markers. This review summarizes and discusses key research and remaining problems in this area. Based on this, suggestions for further study are proposed.

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Section: Discussionmentioning

confidence: 99%

Section: Raman Spectroscopy To Depict Bone Transformationmentioning

confidence: 99%

Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases

Zhang

Ren

Wang

et al. 2022

Front. Cell. Infect. Microbiol.

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“…For the composite restoration, the standardized mesio-occluso-distal (MOD) cavity preparation was performed in an extracted upper human premolar, using a medium-grained diamond bur. The molar extraction was performed during the complex treatment of the upper jaw, for a sinus lift augmentation of a patient as reported [ 19 ]. The same bioethical approval was applied.…”

Section: Methodsmentioning

confidence: 99%

“…The laser spot and irradiance levels were kept constant during Raman spectra acquisition. Energy Dispersive X-Ray Spectroscopy (EDX) and Scanning Electron Microscopy (SEM) were performed in a Zeiss Evo 50 XVP microscope, at room temperature (RT), equipped with a secondary electron detector in low vacuum and a solid state BSE detector, plus an auxiliary micro analytic SDD radiation detector [ 19 , 20 , 21 ].…”

Section: Methodsmentioning

confidence: 99%

Raman Spectroscopy as Spectral Tool for Assessing the Degree of Conversion after Curing of Two Resin-Based Materials Used in Restorative Dentistry

et al. 2022

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(1) Background: The treatment of dental cavities and restoration of tooth shape requires specialized materials with specific clinical properties, including being easy to model, light-cured, having a natural color, reduced shrinkage, a hardness similar to hydroxyapatite, and no leakage. The dimensional stability of resin composite materials is affected by polymerization shrinkage, degree of conversion (number of π carbon bonds converted into σ ones), thermal contraction and expansion, and interactions with an aqueous environment. (2) Methods: The materials used in our investigation were two composite resins with similar polymer matrices, but different filler (micro/nano filler). To evaluate the properties of samples, we employed the pycnometer technique (pycnometer from Paul Marienfeld Gmbh, Lauda-Königshofen, Germany), RAMAN spectroscopy technique (MiniRam Equipment from B&W Tek Inc., Plainsboro Township, NJ, USA; 785 nm laser source), SEM and EDX (FEI Inspect S.). (3) Results: The size of the filler plays an important role in the polymerization: for the pycnometric results, the larger particle filler (Sample 1) seems to undergo a rapid polymerization during the 45 s curing, while the nanoparticle filer (Sample 2) needs additional curing time to fully polymerize. This is related to a much larger porosity, as proved by SEM images. The lower degree of conversion, as obtained by Raman spectroscopy, in the same geometry means that the same volume is probed for both samples, but Sample 1 is more porous, which means less amount of polymer is probed for Sample 1. (4) Conclusions: For the two composites, we obtained a degree of conversion of 59% for Sample 1 and 93% for Sample 2, after 45 s of curing.

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“…Gatin et al [ 13 ] studied the processes of bone healing and regeneration in periodontitis treatment using Raman spectroscopy.…”

Section: Introductionmentioning

confidence: 99%

Raman Spectroscopy for Assessment of Hard Dental Tissues in Periodontitis Treatment

et al. 2021

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The objective of this work was to use Raman spectroscopy to assess hard dental tissues after professional oral hygiene treatment and curettage. Spectral changes were identified, and the discriminant model of the specific changes of intensity of the Raman lines (i.e., of dentin, cementum, and enamel), before and after the dental procedures, was developed. This model showed that 6 weeks after the procedures, the hard dental tissues did not have differences and, thus, provided similar conditions for bio-film and dental plaque formation, tissue repair, and new attachment to the surface of the root.

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Raman Spectroscopy: Application in Periodontal and Oral Regenerative Surgery for Bone Evaluation

Cited by 13 publications

References 22 publications

Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases

Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases

Raman Spectroscopy as Spectral Tool for Assessing the Degree of Conversion after Curing of Two Resin-Based Materials Used in Restorative Dentistry

Raman Spectroscopy for Assessment of Hard Dental Tissues in Periodontitis Treatment

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