微波近场同轴探头液体浓度检测研究
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1.西安建筑科技大学;2.北京航空航天大学

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TH89

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Research on liquid concentration detection based on microwavenear-field coaxial probe
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    摘要:

    液体浓度检测广泛应用于食品、环境、生物医学等领域。基于微波法,研究设计并实现了一种谐振式同轴探头液体浓度检测装置。首先,选取不同浓度的乙醇-水混合溶液作为测试对象,仿真分析耦合间隙、探头浸没深度及探头导体材质对检测灵敏度的影响。为验证装置对不同液体浓度检测的适用性,以0~75%乙醇-水溶液和0~50%葡萄糖-水溶液为对象进行了实验验证。实验结果表明,该探头能够精确测量液体浓度,并且通过调整耦合间隙,可优化不同浓度范围内的检测灵敏度。此外,本研究综合谐振频率、S11幅度最小值和品质因子三种电磁参数,构建了溶液浓度的定量反演模型,与仅使用谐振频率单一参数的传统方法相比,检测乙醇-水溶液和葡萄糖-水溶液的相对误差分别从5.79%和3.34%降低至2.19%和1.36%。探头还能够有效区分多种透明液体,如乙醇溶液、葡萄糖溶液、盐水、自来水和去离子水等,展现出良好的识别能力和数据重复性,具有广泛的潜在应用前景。

    Abstract:

    Liquid concentration detection is widely used in food, environment, biomedical and other fields. Based on the microwave method, a resonant coaxial probe liquid concentration detection device was studied, designed and realized. Firstly, ethanol-water solutions of different concentrations are selected as test samples, and the effects of coupling gap, probe immersion depth and probe conductor material on detection sensitivity are simulated and analyzed. To verify the feasibility of liquid concentration detection using the designed probe, ethanol-water solutions/glucose-water solutions with a volume concentration of 0~75%/ 0~50% are measured. The experimental results show that the probe is capable of accurately measuring the liquid concentration and the detection sensitivity in different concentration ranges can be optimized by adjusting the coupling gap. In addition, in this study, the quantitative inversion model of solution concentration is constructed by combining three electromagnetic parameters, namely, resonance frequency, S11 amplitude minima and quality factor. Compared with traditional method that only use resonance frequency as indicator, relative errors of liquid concentration of ethanol-water solutions/glucose-water solutions are suppressed from 5.79%/ 3.34% to 2.19%/ 1.36%, respectively. The probe is also able to effectively differentiate a variety of transparent liquids, such as ethanol solutions, glucose solution, salt water, tap water and deionized water, etc., showing good recognition ability and data reproducibility and thus shows a wide range of potential applications.

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历史
  • 收稿日期:2024-09-15
  • 最后修改日期:2025-02-24
  • 录用日期:2025-02-26
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