Sensitive Detection of Formalin Adulteration in Fish Using a Square-Core Photonic Crystal Fiber Sensor
Abstract
This article presents a new square-core photonic crystal fiber (PCF) sensor carefully designed to detect high-sensitivity formalin adulteration in fish. The unique square-core design exploits the photonic bandgap effect and enhances light confinement to increase sensitivity. The sensor can accurately identify formalin in varying quantities by increasing the interaction between its molecules and the guided light. Finite element method (FEM) simulations show that the sensor provides apparent resonance shifts with concentration changes, suggesting a remarkable sensitivity of 31,912 nm/RIU. With potential applications in both industrial and biomedical areas, this sensor provides a strong and effective tool for real-time formalin monitoring, meeting essential requirements in food safety and quality control.
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BibTeX
@article{Veluchamy2025,
title = {Sensitive Detection of Formalin Adulteration in Fish Using a Square-Core Photonic Crystal Fiber Sensor},
author = {Veluchamy, Devika and Rajan, Murugan Senthil Mani and Prajapati, Yogendra Kumar},
journal = {Sensing and Imaging},
volume = {26},
number = {1},
pages = {128},
year = {2025},
publisher = {Springer},
abstract = {This article presents a new square-core photonic crystal fiber (PCF) sensor carefully designed to detect high-sensitivity formalin adulteration in fish. The unique square-core design exploits the photonic bandgap effect and enhances light confinement to increase sensitivity. The sensor can accurately identify formalin in varying quantities by increasing the interaction between its molecules and the guided light. Finite element method (FEM) simulations show that the sensor provides apparent resonance shifts with concentration changes, suggesting a remarkable sensitivity of 31,912 nm/RIU. With potential applications in both industrial and biomedical areas, this sensor provides a strong and effective tool for real-time formalin monitoring, meeting essential requirements in food safety and quality control.},
}