| Full text | |
| Author(s): |
Ferro, Leticia M. M.
;
Lemos, Sherlan G.
;
Ferreira, Marystela
;
Trivinho-Strixino, Francisco
Total Authors: 4
|
| Document type: | Journal article |
| Source: | SENSORS AND ACTUATORS B-CHEMICAL; v. 248, p. 718-723, SEP 2017. |
| Web of Science Citations: | 2 |
| Abstract | |
Nanoporous anodic alumina (NAA) presents interesting optical properties such as the Fabry-Perot interference phenomenon, which can be used for sensing purposes. Optical sensing with NAA requires the determination of the material's effective refractive index from the interference spectra and its variation when the analyte interacts with NAA pores in a non-specific or selective way. In this work, we propose an alternative approach to deal with Fabry-Perot interference spectra as an analytical signal for optical sensors: multivariate analysis. As a proof of concept, NAA substrates were employed in the determination of glucose by photoluminescence spectroscopy. Principal component analysis (PCA) and partial least-squares (PLS) regression were used to qualitatively investigate spectra profile changes with increasing concentrations of glucose, and to establish a quantitative regression model to determine glucose concentrations from the photoluminescence spectra, respectively. Results showed that multivariate analysis can be used in Fabry-Perot interferences to obtain optical sensors responses. (C) 2017 Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 10/10813-0 - Preparation of nanostructures oxides films using electrochemical methods for sensor purposes |
| Grantee: | Francisco Trivinho Strixino |
| Support Opportunities: | Research Grants - Young Investigators Grants |