Passionategeekz On June 16, the journal of the Chinese Academy of EngineeringEngineering》Published today, Professor Cui Tiejun’s team from the National Key Laboratory of Millimeter Wave of Southeast University published a research paper titled “An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using a Smartphone”, reporting an ultra-miniature, high sensitivity, high precision and intelligent wireless microwave artificial surface plasmon sensing system, and verified its application in acetone vapor sensing. Associate Researcher Zhang Xuanru of Southeast University is the first author of the paper, and Professor Cui Tiejun is the corresponding author.
Passionategeekz learned from the official introduction that resonant enhanced dielectric sensing measures relative frequency shift signals.With high sensitivity and detection accuracy, broad application prospects in multiple fields. Under the development of the Internet of Things, low-frequency sensing technologies such as microwaves are more suitable for real scenes. Artificial surface plasmons can achieve wavelength compression and high sensitivity, and have strong circuit compatibility and excellent electromagnetic compatibility. Microwave artificial surface plasmon sensing has become a rapidly developing emerging field. However, under the trend of miniaturized sensing systems, it is difficult to accurately detect resonant frequency shifts. The existing detection solutions such as single frequency point measurement and frequency scanning have problems such as easy interference, complex operation, poor versatility, and large volume, and need to be optimized urgently.
In the era of the interconnectedness of all things,Integrated and miniaturized sensing systems have become an inevitable development trend. The article reports an ultra-miniature, high-precision microwave artificial surface plasmon sensing system.
The researchers designed a microwave artificial surface plasmon resonator (SSP resonator) that enhances sensitivity and resonance intensity simultaneously. In addition, the researchers developed a software-defined, adaptive resonant tracking scheme that runs in a microcontroller. This solution not only effectively reduces the circuit volume, but also enables the system to intelligently adapt to the target resonant frequency.
The system communicates and interacts with the smartphone via Bluetooththe overall size is only 1.8 cm × 1.2 cm. The system achieved a signal-to-noise ratio of 69 dB, a data rate of 2272 measurement points per second, and showed good electromagnetic compatibility.
The researchers used acetone vapor sensing experiment,Verified the sensing performance of the system. The artificial surface plasmon resonator proposed by this system effectively solves the key problems of microwave resonant sensors in terms of sensitivity and electromagnetic interference. The software-defined resonance tracking solution not only minimizes the consumption of hardware circuits and spectrum resources, but also realizes intelligent resonance frequency shift detection and adaptively adjusts the target resonance.
This technology is also suitable for other printed resonators that can be integrated into planar circuits, as well as RFID tags based on rigid or flexible circuit boards. More broadly, the miniaturized and intelligent Pound-Drever-Hall (PDH) locking technology based on microcontrollers can be extended to mechanical and acoustic resonant sensors integrated on printed circuit boards.The ultra-high integration and detection accuracy of this sensing system fully demonstrates its application potential in smart homes and the Internet of Things。
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