| Full text | |
| Author(s): |
Siqueira, A. F.
[1]
;
Melo, M. P.
[1]
;
Giordani, D. S.
[2]
;
Galhardi, D. R. V.
[2]
;
Santos, B. B.
[2]
;
Batista, P. S.
[2]
;
Ferreira, A. L. G.
[1]
Total Authors: 7
|
| Affiliation: | [1] Univ Sao Paulo, Engn Sch Lorena, Dept Basic & Environm Sci, Sao Paulo - Brazil
[2] Univ Sao Paulo, Engn Sch Lorena, Dept Chem Engn, Sao Paulo - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | Journal of Food Engineering; v. 221, p. 114-123, MAR 2018. |
| Web of Science Citations: | 2 |
| Abstract | |
The present work aims to propose an empirical kinetic model based on sorption and the precursor state, which is capable of describing the variation in electrical resistances of olfactory sensors used in assembling a device known as the e-nose. In addition, a new approach to model its noise has been proposed by means of a stochastic differential equation. As regards its application, waste cooking oil from different sources was better characterized by this new model when compared to traditional techniques of data analysis for such device. (C) 2017 Elsevier Ltd. All rights reserved. (AU) | |
| FAPESP's process: | 15/09766-1 - Pre-classification of Residual Oil and Fat (OGR) for biodiesel application |
| Grantee: | Daniel Rodrigues Valle Galhardi |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
| FAPESP's process: | 14/25001-2 - Development of methodology for pre-classification of residual oil and fat (OGR) for biofuel production |
| Grantee: | Ana Lúcia Gabas |
| Support Opportunities: | Program for Research on Bioenergy (BIOEN) - Regular Program Grants |