Summary
Detection of tooth caries using imaging at one or two NIR wavelengths is entering clinical practice, with imaging based on an increase in O-H overtone and combination features associated with increased porosity and water content in decayed or demineralised teeth, and/or change in light scattering with change in tooth porosity. Further consideration of the spectroscopy behind this application is warranted, given details of a NIR spectroscopy-based model for tooth water content has not been previously reported. A partial least squares regression model for tooth water content was developed using a second derivative pretreatment and five factors, achieving a cross validation R 2 of 0.91 and RMSECV of 0.4 % w/w, with model weightings
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