A mobile application that uses fiber optics to test the polarimetry of various substances
In this work, a 633nm laser is used. The light beam passes through a fixed linear polarizer before hitting a rectangular container where the solution is located. Different solutions were used, including distilled water, standard sugar, refined sugar and brown sugar. The beam finally travels to a polarizer that can rotate on its own axis and then reaches an optical fiber connector where the signal is processed. The rotating polarizer has a gear configuration and a stepper motor controlled by an ESP32 microprocessor and an external power source, allowing precise control of the polarizer's rotation by the microprocessor. The resulting signal is captured in optical fiber by means of a photodiode and sent to the microprocessor where it is processed and then sent to a mobile device, where it is stored and processed for better understanding. The results of the power obtained when passing a polarized beam through different solutions at different concentrations are analyzed, and a correlation between the amount of sugar contamination and the received power was determinate. The application is based on Angular framework and has a settings tab where the current angle of the polarizer is displayed, buttons to start or stop a measurement, as well as text boxes where parameters for measurements can be configured, such as the direction of rotation and the angular speed of the polarizer. It has various functionalities for graphing the stored data and comparing them, as well as some visualization tools. It also allows viewing a time series with real-time measurements and a section to manage stored data.
Authors
- Alejandro N. Flores (ORCID: https://orcid.org/0000-0002-7240-9265)
- R. Selvas-Aguilar (ORCID: https://orcid.org/0000-0001-7012-3901)
- L. Fdez. de Arévalo
- Alan Reyes
- Mario Rico
- Raymundo Garza
Institutions
- Universidad Autónoma de Nuevo León (MX)
Publication Details
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1117/12.3028499
- Primary Topic
- Experimental Learning in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00