研究目的
To develop and demonstrate an electronic nose system based on a capacitive micromachined ultrasonic transducer (CMUT) for real-time detection and discrimination of volatile organic compounds (VOCs) emitted by plants under stress, specifically for early detection of insect infestation and pathogen infection.
研究成果
The CMUT-based e-nose system successfully detected VOCs from wounded maize plants in real time, showing rapid frequency shifts. Different polymer coatings produced varied responses, indicating potential for unique stress fingerprints. Future work will focus on optimizing functionalization layers for specific stress conditions.
研究不足
Preliminary study with generic polymer coatings not optimized for specific VOCs; limited to physical wounding stress; environmental factors like humidity may affect readings; need for future optimization and validation with other stress types.
1：Experimental Design and Method Selection:
The study uses a CMUT-based sensor system functionalized with polymers for gravimetric sensing of VOCs. The system includes a custom front-end IC, power management unit, and Bluetooth-enabled microprocessor for real-time data acquisition.
2：Sample Selection and Data Sources:
Young maize plants at V3 stage were used, with upper leaves sealed in a glass chamber. VOC emissions were induced by mechanical wounding of lower stems.
3：List of Experimental Equipment and Materials:
CMUT array, custom IC, power management unit, Bluetooth Low Energy microcontroller, PTH sensor (BME280, Bosch Sensortec), glass chamber with PETG base, grooved forceps for wounding, polymers (PVA, PEG, PIB, PDMS) for functionalization.
4：Experimental Procedures and Operational Workflow:
Plants and sensor were stabilized in the chamber for 30 minutes. Control period of 10 minutes with no disturbance, followed by wounding of stems. Frequency shifts in CMUT sensors were monitored in real time via Bluetooth.
5：Data Analysis Methods:
Frequency changes were tracked to detect mass changes due to VOC adsorption; data from multiple sensor channels and PTH sensor were used to account for environmental effects.
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