High-Sensitivity Tapered Optical Fiber Sensor Using Support Vector Machine for Red Wine Identification
A fiber optic tapered sensor using a support vector machine classifier identifies red wines with an accuracy of 99.847%, analyzing an optical spectral database of 1680 samples and demonstrating potential for quality control in the wine industry.
Authors
- Juan M. Sierra‐Hernandez (ORCID: https://orcid.org/0000-0002-9178-4968)
- Stefano Toffanin (ORCID: https://orcid.org/0000-0003-4099-8664)
- J. D. Filoteo-Razo (ORCID: https://orcid.org/0000-0001-6715-2445)
- María Elena Sosa‐Morales (ORCID: https://orcid.org/0000-0002-1197-2572)
- R. Rojas-Laguna (ORCID: https://orcid.org/0000-0001-9487-0354)
- Raúl E. Sánchez-Yáñez (ORCID: https://orcid.org/0000-0002-5431-6954)
- J. C. Hernández-García (ORCID: https://orcid.org/0000-0002-8543-4793)
- María Susana Ávila-García (ORCID: https://orcid.org/0000-0002-0260-2780)
- J. M. Estudillo-Ayala (ORCID: https://orcid.org/0000-0002-4010-3800)
- Marco Bianchetti (ORCID: https://orcid.org/0000-0002-0056-9219)
- Jesus A. Parada-Ramírez
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.aa135_5
- Primary Topic
- Advanced Fiber Optic Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00