Capillary liquid-core optical fiber temperature sensor based on fluorescence intensity ratio
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摘要:
针对现有光纤荧光温度传感探头制备复杂的问题,本文提出了一种制备简单、成本低廉且性能优异的基于毛细管液芯的光纤荧光温度传感器。首先将对温度敏感的罗丹明B和对温度不敏感的罗丹明123的混合溶液作为温敏材料封装在不锈钢毛细管中制备成传感探头,利用两者荧光发射峰强度的比值进行温度传感。之后对传感探头中混合溶液的浓度和毛细管的结构参数进行了优化,并对传感器的性能进行了测试,最终将其应用于实际生活温度检测中。实验结果表明:该传感器的温度响应范围为30~70 °C,荧光强度比与温度之间呈二次相关,拟合相关系数高达0.9984,且具有很好的准确性、重复性和稳定性,使用时间可达3个月以上,能很好地应用于对日常生活中温度的检测。该光纤荧光温度传感器在实时监测和远端探测方面具有很大的潜力。
Abstract:Aiming to the problem of the complicated preparation of existing optical fiber fluorescence temperature sensing probes, we propose a simple, cost-effective, and high-performance optical fiber fluorescence temperature sensor based on a capillary liquid core. Firstly, a mixed solution consisting of temperature-sensitive rhodamine B and temperature-insensitive rhodamine 123 was used as the temperature-sensitive material and encapsulated in a stainless-steel capillary to prepare a sensing probe. The ratio of the fluorescence emission peak intensities of the two dyes was utilized for temperature sensing. Subsequently, the sensing probe’s mixed solution concentration and capillary structural parameters were optimized. Then, the performance of the sensor was tested. Finally, the sensor was applied to real-life temperature measurements. The experimental results demonstrate that the sensor has a temperature response range of 30−70 °C and that there is a quadratic correlation between the fluorescence intensity ratio and the temperature, with the fitted correlation coefficient as high as 0.9984. The sensor exhibits excellent accuracy, repeatability, and stability, with more than three months of service time. Moreover, it can be well-utilized to detect temperature in daily life. The optical fiber fluorescence temperature sensor shows significant potential for real-time monitoring and remote detection applications.
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Key words:
- optical fiber /
- temperature sensor /
- fluorescence intensity ratio /
- rhodamine
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图 4 传感探头结构参数的优化。(a)温度上升光谱;(b)温度下降光谱;(c)温升温降的信号对比;(d)长度的优化;(e)外径的优化;(f)光纤浸入深度比的优化
Figure 4. Structure parameter optimization of sensing probe. Spectra of temperature (a) raising and (b) dropping; (c) comparison of temperature raising and dropping; optimization of (d) length, (e) outer diameter and (f) fiber insertion ratio
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