基于二氧化硅荧光纳米粒子的高碱性pH监测光纤传感器的研制

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Weiqiao Xu , Liang Fan , Zhenting Ma , Xia Zhao , Liangliang Huang , Jiguo Chen
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引用次数: 0

摘要

荧光光纤传感器因其高精度和小尺寸而有望监测混凝土的pH值,但它们仍然面临响应时间长和染料浸出等问题。为了解决这一问题,本研究提出了通过在纳米颗粒内封装ph敏感的荧光染料来制造荧光纳米颗粒,以避免染料浸出。然后将这些荧光纳米颗粒集成到PVA/SiO2溶胶-凝胶膜基质中,使用浸涂法在羟基化和硅化光纤的尖端形成均匀的薄膜。实验结果表明,该荧光传感器的响应时间为40 s。传感器的荧光强度随pH值的增加而降低,在pH值9 ~ 13范围内呈正比线性响应。该传感器受混凝土中常见离子的干扰最小,精度为±0.1 pH单位,在实际混凝土孔隙溶液的pH测量中表现出良好的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of optical fiber sensors for high-alkaline pH monitoring based on silica fluorescent nanoparticles
Fluorescent fiber optic sensors hold promise for monitoring the pH of concrete due to their high accuracy and small size, but they still face issues such as long response times and dye leaching. To address the issues, this study presents the fabrication of fluorescent nanoparticles by encapsulating pH-sensitive fluorescent dyes within nanoparticles to avoid the dye leaching. These fluorescent nanoparticles were then integrated into a PVA/SiO2 sol–gel film matrix, forming a uniform film at the tip of a hydroxylated and silanized optical fiber using the dip coating method. Experimental results show that the response time of the fluorescent sensor was 40 s. The fluorescence intensity of the sensor decreased with increasing pH, exhibiting a proportional linear response in the pH range of 9 to 13. The sensor is minimally interfered by common ions in concrete, has a precision of ± 0.1 pH units, and demonstrates good accuracy in pH measurement of actual concrete pore solutions.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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