研究目的
To develop an ultra-sensitive millimeter wave (mm-wave) reflection liquid sensor that is electronically tunable, non-invasive, and label-free for bio-chemical sensing applications.
研究成果
The mm-wave reflection liquid sensor in a nano-fluidic lab-in-waveguide configuration is electrically tunable with only one tunable component, demonstrating extremely high sensitivity and a large dynamic range. It can measure mixed liquid solutions with high accuracy and identify different chemical liquids, making it suitable for bio-medical and chemical sensing applications.
研究不足
The sensor's performance may be influenced by the system noise and the stability of the test equipment. The frequency drift in a very narrow frequency range is tolerable but could affect the measurements.
1：Experimental Design and Method Selection:
The sensor is based on the impedance match technique implemented in a rectangular waveguide structure. It utilizes a T-junction structure for impedance tuning and measures the reflection coefficient to identify the difference between the liquid under test (LUT) and a reference liquid.
2：Sample Selection and Data Sources:
Ethanol-distilled water solutions with different ethanol concentrations are used to explore the detection limit of the reflection sensor.
3：List of Experimental Equipment and Materials:
A V-band pin diode attenuator from MI-WAVE Company is used as the electronically tuning stub. A MS4640B series VNA from Anritsu Company supplies the input mm-wave signal source and measures the reflection coefficient. A DC power supply from Keysight Company offers the DC voltage for the attenuator.
4：Experimental Procedures and Operational Workflow:
The sensor is tuned with a reference liquid, and then the LUT is measured. The reflection coefficient difference between the LUT and reference liquid is measured to quantitatively analyze the LUTs.
5：Data Analysis Methods:
The reflection coefficient is measured to identify the LUT, and the measured reflection coefficient difference is applied to quantitatively analyze the LUTs.
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