Laser & Optoelectronics Progress, Volume. 62, Issue 7, 0712001(2025)

High-Sensitivity Detection for Uric Acid Based on Double-F Multifrequency Resonant Metamaterial Sensor

Guocui Liu*, Zhen Sun, Tingting Yuan, Xujun Xu, Jianjun Liu, Zhi Hong, and Yong Du
Author Affiliations
  • Center for Terahertz Research, China Jiliang University, Hangzhou 310018, Zhejiang , China
  • show less

    Uric acid is the final oxide of purine metabolism in the body and is one of the serum markers of inflammation. Persistent elevation of uric acid levels in serum can cause a series of diseases in the human body. Conventional methods for detecting uric acid have the disadvantages of expensive analytical reagents, and cumbersome and complicated chemical analysis. Detection based on terahertz metamaterial sensors is label-free and nondestructive, requires only a minute amount of reagents, does not damage analytes, and offers a high detection speed. A double-F multifrequency resonant metamaterial sensor with a maximum sensitivity of 160 GHz/RIU (RIU is a unit of refractive index) is proposed, which can be applied to high-sensitivity detection of uric acid. Different concentrations of uric acid solutions can be detected using this sensor. Results show that the lowest detection limit of the proposed sensor for uric acid solution is 0.001 g/L, which is lower than the lowest level of uric acid in a healthy human body. Thus, it is expected to be used in the detection of diseases.

    Keywords
    Tools

    Get Citation

    Copy Citation Text

    Guocui Liu, Zhen Sun, Tingting Yuan, Xujun Xu, Jianjun Liu, Zhi Hong, Yong Du. High-Sensitivity Detection for Uric Acid Based on Double-F Multifrequency Resonant Metamaterial Sensor[J]. Laser & Optoelectronics Progress, 2025, 62(7): 0712001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Oct. 5, 2024

    Accepted: Nov. 5, 2024

    Published Online: Mar. 17, 2025

    The Author Email:

    DOI:10.3788/LOP242173

    CSTR:32186.14.LOP242173

    Topics