Predictive algorithms for determination of reflectance data from quantity of pigments within experimental dental resin composites

Biomedical Engineering Online
Razvan GhineaMaría Perez

Abstract

Being able to estimate (predict) the final spectrum of reflectance of a biomaterial, especially when the final color and appearance are fundamental for their clinical success (as is the case of dental resin composites), could be a very useful tool for the industrial development of these type of materials. The main objective of this study was the development of predictive models which enable the determination of the reflectance spectrum of experimental dental resin composites based on type and quantity of pigments used in their chemical formulation. 49 types of experimental dental resin composites were formulated as a mixture of organic matrix, inorganic filler, photo activator and other components in minor quantities (accelerator, inhibitor, fluorescent agent and 4 types of pigments). Spectral reflectance of all samples were measured, before and after artificial chromatic aging, using a spectroradiometer. A Multiple Nonlinear Regression Model (MNLR) was used to predict the values of the Reflectance Factors values in the visible range (380 nm-780 nm), before and after aging, from % Pigment (%P1, %P2, %P3 and %P4) within the formulation. The average value of the prediction error of the model was 3.46% (SD: 1.82) across all wavele...Continue Reading

References

Jul 9, 2004·Dental Materials : Official Publication of the Academy of Dental Materials·M AtaiS Amani
Jun 28, 2005·Dental Materials : Official Publication of the Academy of Dental Materials·Alvin G WeeWilliam M Johnston
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Dec 23, 2011·Dental Materials : Official Publication of the Academy of Dental Materials·Luis Felipe J SchneiderJack L Ferracane

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Citations

Sep 4, 2015·Biomedical Engineering Online·Franscisco M OrtuñoIgnacio Rojas
Apr 19, 2021·Journal of Esthetic and Restorative Dentistry : Official Publication of the American Academy of Esthetic Dentistry ... [et Al.]·Ioana Sofia Pop-CiutrilaHoratiu Colosi

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Software Mentioned

MNLR
CIEDE2000
XLSTAT

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