研究目的
To propose a bridge element approach based on the circular SRR configuration for accurate measurement in terms of complex permittivity and the loss tangent, and to compare its sensitivity with standard microwave SRR sensors.
研究成果
The proposed inter-connector bridge SRR sensor improves sensitivity and accuracy in terms of complex permittivity and the loss tangent with a percentage error detection of ±0.09% and ±1.9%, respectively. High Q-factor is achieved with more than 400 over the narrow bandwidth. The sensor is reliable with maximum efficiency at 2.5μL volume at a time.
研究不足
The dimension uncertainties throughout the fabrication process slightly differ from the simulation model, affecting the accuracy. The performance of planar sensor is incomparable with the conventional one due to poor quality factor (Q-factor) and low sensitivity.
1：Experimental Design and Method Selection:
The study employs a bridge element approach based on circular split-ring resonator (SRR) for dielectric properties measurement. The design is simulated using Ansys HFSS software.
2：Sample Selection and Data Sources:
Aqueous solvents (distilled water, methanol, and ethanol) with 100% pure concentration are used for measurement.
3：List of Experimental Equipment and Materials:
Substrate RT/Duroid Roger 5880 with dielectric constant and loss tangent of 2.2 and 0.0009, respectively, and a glass microcapillary with a diameter of 1.0 mm.
4：2 and 0009, respectively, and a glass microcapillary with a diameter of 0 mm.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The measurement is performed from 1 to 6 GHz with 2.5μL sample volume at a time. The dielectric properties are sensitive to temperature, so a constant temperature at 25oC is maintained.
5：5μL sample volume at a time. The dielectric properties are sensitive to temperature, so a constant temperature at 25oC is maintained.
Data Analysis Methods:
5. Data Analysis Methods: The dielectric constant and loss tangent are determined using polynomial fitting techniques and compared with ideal values and commercial sensor measurements.
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