Vibrational algorithms for quantitative crystallographic analyses of hydroxyapatite-based biomaterials: II, application to decayed human teeth.
Anal Bioanal Chem
; 407(12): 3343-56, 2015 May.
Article
em En
| MEDLINE
| ID: mdl-25753014
ABSTRACT
A systematic investigation, based on highly spectrally resolved Raman spectroscopy, was undertaken to research the efficacy of vibrational assessments in locating chemical and crystallographic fingerprints for the characterization of dental caries and the early detection of non-cavitated carious lesions. Raman results published by other authors have indicated possible approaches for this method. However, they conspicuously lacked physical insight at the molecular scale and, thus, the rigor necessary to prove the efficacy of this spectroscopy method. After solving basic physical challenges in a companion paper, we apply them here in the form of newly developed Raman algorithms for practical dental research. Relevant differences in mineral crystallite (average) orientation and texture distribution were revealed for diseased enamel at different stages compared with healthy mineralized enamel. Clear spectroscopy features could be directly translated in terms of a rigorous and quantitative classification of crystallography and chemical characteristics of diseased enamel structures. The Raman procedure enabled us to trace back otherwise invisible characteristics in early caries, in the translucent zone (i.e., the advancing front of the disease) and in the body of lesion of cavitated caries.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Análise Espectral Raman
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Algoritmos
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Cárie Dentária
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Esmalte Dentário
Tipo de estudo:
Diagnostic_studies
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Screening_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article