A Lecturer from the Physics Department Publishes a Scientific Paper on Integrated Fiber-Optic Sensors as a Key Element in Multisensor Greenhouse Gas Monitoring Systems
A Lecturer from the Physics Department Publishes a Scientific Paper on Integrated Fiber-Optic Sensors as a Key Element in Multisensor Greenhouse Gas Monitoring Systems
Lecturer Dr. Safaa Mohammed Ridha from the Physics Department published a scientific paper titled “Addressed Combined Fiber-Optic Sensors as Key Element of Multisensor Greenhouse Gas Monitoring Systems” in the Swiss journal Sensors MDPI, classified as Q1. The research aimed to identify integrated fiber-optic sensors as a key element in multisensor greenhouse gas monitoring systems and integrated fiber-optic sensors as a key element in multisensor greenhouse gas monitoring systems. The research also included a study of the design and application of integrated fiber optic sensors (ACFOSS) and their multi-sensory control systems for greenhouse gas concentration. The main focus of the development of integrated fiber optic sensors (CFOSS) was highlighted, which consist of a fiber Bragg grating formed successively at the end of an optical fiber. The focus was on the use of an integrated fiber Bragg structure (FPR) and a Fabry-Pérot resonator (FBG) instead of an FBG in integrated fiber optic sensors. The study revealed the detection of four types of greenhouse gases (CO2, NO2, CH4, and OX) depending on the material and thickness of the polymer film, the sensitive element of the integrated fiber optic sensor. The Karhonen-Lewe transform (KLT) was proposed, which allows the separation of each component contribution to the reflected spectrum according to its efficiency. In the future, this will allow for the determination of gas concentrations at AFBS address frequencies. Estimates show that the ACFOS design in the multi-sensory system allows for the measurement of ambient temperature in the range of 60…300°C with an accuracy of 0.1-0.01°C, and gas concentrations in the range of 10…90% with an accuracy of 0.1-0.5%.