ArticleInternational journal of environmental research and public health2021
Diagnosis of Dental Fluorosis Using Micro-Raman Spectroscopy Applying a Principal Component-Linear Discriminant Analysis.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Photonic Methods for the Assessment of Lesion Activity.Diagnostics (Basel, Switzerland) · 2026Review
- Pretreatment of fluorotic human enamel surface by chemical and pneumatic microabrasion exerts effects on shear bond strength: an in vitro study.Odontology · 2026Article
- Genetic and environmental determinants of dental fluorosis: a case‒control study of DLX3, ESR1, and ESR2 variants in a high-fluoride region of Mexico.BMC oral health · 2025Article
- Dental Caries and Erosive Tooth Wear Among 12-Year-Old Hong Kong Children.International dental journal · 2025Article
- A comparison of three whitening protocols for mild-to-moderate dental fluorosis in anterior teeth.American journal of translational research · 2025Article
- Physicochemical understanding of biomineralization by molecular vibrational spectroscopy: From mechanism to nature.Exploration (Beijing, China) · 2023Review
- Identify the Virus-like Models for COVID-19 as Bio-Threats: Combining Phage Display, Spectral Detection and Algorithms Analysis.International journal of molecular sciences · 2023Article
- Discriminant Analysis PCA-LDA Assisted Surface-Enhanced Raman Spectroscopy for Direct Identification of Malaria-Infected Red Blood Cells.Methods and protocols · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dental fluorosis is an irreversible condition caused by excessive fluoride consumption during tooth formation and is considered a public health problem in several world regions. The objective of this study was to evaluate the capability of micro-Raman spectroscopy to classify teeth of different fluorosis severities, applying principal component analysis and linear discriminant analysis (PCA-LDA), and estimate the model cross-validation accuracy. Forty teeth of different fluorosis severities and a control group were analyzed. Ten spectra were captured from each tooth and a total of 400 micro-Raman spectra were acquired in the wavenumber range of 250 to 1200 cm
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