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Multimodal Interference-Based Fiber Optic Sensors for Glucose and Moisture Content Detection in Honey

Authors :
Mayeli Anais Pérez-Rosas
Yahir Nicolás García-Guevara
Yadira Aracely Fuentes-Rubio
René Fernando Domínguez-Cruz
Oscar Baldovino-Pantaleón
Gerardo Romero-Galván
Source :
Applied Sciences, Vol 14, Iss 17, p 7914 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Fiber optic sensors (FOSs) have transformed industrial applications with their high sensitivity and precision, especially in real-time monitoring. This study presents a fiber optic sensor based on multimodal interference (MMI) applied to detect honey adulteration. The sensor is built using a non-core multimode fiber (NC-MMF) segment spliced between two standard single-mode fibers (SMFs). We focus on reporting the detection of two main adulterants in honey that modify its refractive index (RI): the presence of glucose and moisture content. Detailed testing was performed with two commercially approved honey brands, named A and B. The sensor successfully detected glucose concentrations from 1% to 5% and moisture content from 0% to 20% for both brands. For glucose detection, we obtained sensitivity values −0.55457 nm/% for brand A and −2.61257 nm/% for brand B. In terms of moisture content in honey, we observed a sensitivity around −0.3154 nm/% and −0.3394 nm/% for brands A and B, respectively. Additionally, temperature tests were performed, showing that the sensor works optimally up to 30 °C. The results were validated using a conventional refractometer, showing a close agreement with the data obtained and confirming the reliability and accuracy of the proposed sensor. Compared to other refractometers, the MMI sensor offers advantages such as real-time monitoring, ease of assembly, cost-effectiveness, and minimal maintenance. Furthermore, the sensor represents an alternative tool to guarantee the quality and authenticity of honey, overcoming the limitations of conventional measurement techniques.

Details

Language :
English
ISSN :
20763417
Volume :
14
Issue :
17
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.1224a60930a46028c079c1785d28631
Document Type :
article
Full Text :
https://doi.org/10.3390/app14177914