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A Regression Approach to Model Refractive Index Measurements of Novel 3D Printable Photocurable Resins for Micro-Optofluidic Applications.

Authors :
Saitta, Lorena
Cutuli, Emanuela
Celano, Giovanni
Tosto, Claudio
Stella, Giovanna
Cicala, Gianluca
Bucolo, Maide
Source :
Polymers (20734360); Jun2023, Vol. 15 Issue 12, p2690, 21p
Publication Year :
2023

Abstract

In this work, a quadratic polynomial regression model was developed to aid practitioners in the determination of the refractive index value of transparent 3D printable photocurable resins usable for micro-optofluidic applications. The model was experimentally determined by correlating empirical optical transmission measurements (the dependent variable) to known refractive index values (the independent variable) of photocurable materials used in optics, thus obtaining a related regression equation. In detail, a novel, simple, and cost-effective experimental setup is proposed in this study for the first time for collecting the transmission measurements of smooth 3D printed samples (roughness ranging between 0.04 and 2 μm). The model was further used to determine the unknown refractive index value of novel photocurable resins applicable in vat photopolymerization (VP) 3D printing techniques for manufacturing micro-optofluidic (MoF) devices. In the end, this study proved how knowledge of this parameter allowed us to compare and interpret collected empirical optical data from microfluidic devices made of more traditional materials, i.e., Poly(dimethylsiloxane) (PDMS), up to novel 3D printable photocurable resins suitable for biological and biomedical applications. Thus, the developed model also provides a quick method to evaluate the suitability of novel 3D printable resins for MoF device fabrication within a well-defined range of refractive index values (1.56; 1.70). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734360
Volume :
15
Issue :
12
Database :
Complementary Index
Journal :
Polymers (20734360)
Publication Type :
Academic Journal
Accession number :
164702844
Full Text :
https://doi.org/10.3390/polym15122690