Enhancing the Performance of Fluoro-Optic Temperature Sensors: Design Optimization and Calibration Techniques

Due to their noninvasive and extremely sensitive temperature measurement capabilities, fluoro-optical temperature sensors have garnered significant interest. Nonetheless, optimising performance in terms of accuracy and range remains a challenge. The purpose of this paper is to investigate the performance of fluoro-optical temperature sensors via design optimisation and novel calibration techniques. Beginning with linearity assumptions, temperature dependencies, and restricted temperature ranges, the limitations of existing calibration methods are identified. To surmount these limitations, a novel calibration technique incorporating multi-point calibration, dynamic calibration curve adjustments, machine learning algorithms, or self-calibration approaches is proposed to compensate for nonlinearity, temperature dependencies, drift, and ageing effects. In addition, design optimisation strategies for fluoro-optic temperature sensors, including fluorophore selection, optical setup optimisation, and thermal management and signal processing considerations, are investigated. These alterations seek to improve the sensor's sensitivity, response time, and overall performance. The proposed calibration techniques and design optimisations are implemented and assessed via simulations employing synthetic temperature data and sensor response models. Utilising performance evaluation metrics such as mean measurement error and maximum measurement error, the efficacy of the proposed techniques is determined. Compared to conventional calibration methods, the results demonstrate significant improvements in precision and range. The novel calibration technique resolves limitations effectively, resulting in reduced measurement errors and enhanced long-term stability. Enhanced design optimisation improves sensor performance, resulting in increased sensitivity and quicker response times. This paper offers valuable insights for researchers and practitioners seeking to improve the performance of fluoro-optical temperature sensors in a variety of applications, such as industrial process monitoring, biomedical research, and environmental monitoring.