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.
Cited in this thesis
Frequently Cited Together
- Identification of the Species of Origin for Meat Products by Rapid Evaporative I1 chapter
- Fishers' preference for mobile traceability platform: challenges in achieving a 1 chapter
- Automatic design of convolutional neural network architectures under resource co1 chapter
- Unlocking the combined impact of microplastics and emerging contaminants on fish1 chapter
- Microplastic contamination in wild freshwater fish: global trends, challenges an1 chapter
- Adaptive mixtures of local experts1 chapter
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.},
}