A Sensitive and High-Accuracy Dual-Mode Wireless Sensor with MLP-Based Mutual Inductance Suppression for Ammonia Leak...

Area of Science:

• Sensor Technology
• Chemical Sensing
• Materials Science

Background:

• Accurate detection of hazardous gases like ammonia (NH3) is crucial for safety and monitoring in various industries.
• Existing multi-parameter wireless passive sensors face challenges with mutual inductance interference, impacting measurement accuracy.
• Demand for compact, cost-effective, and reliable sensors for real-time NH3 and temperature monitoring is high.

Purpose of the Study:

• To develop a dual-mode inductor-capacitor sensor for simultaneous NH3 and temperature measurement.
• To mitigate mutual inductance interference in multi-parameter passive sensors.
• To enhance sensor performance through material modification and advanced signal processing.

Main Methods:

• Fabrication of a dual-mode inductor-capacitor sensor with two interdigital electrodes.
• Utilizing microstructure polydimethylsiloxane@graphene for enhanced temperature sensitivity.
• Modifying tungsten oxide with phenyl phosphonic acid for improved NH3 response.
• Employing a multilayer perceptron (MLP) model for data analysis and decoupling measurements.

Main Results:

• Achieved enhanced temperature sensitivity of 205.75 kHz °C⁻¹ using microstructured materials.
• Obtained a threefold improvement in room-temperature NH3 response (4.1%) via material modification.
• Successfully mitigated mutual inductance interference using an MLP model.
• Decoupled NH3 and temperature measurements with low mean squared errors (0.73 and 0.18, respectively).

Conclusions:

• The developed dual-mode sensor offers accurate, simultaneous NH3 and temperature detection.
• The MLP model effectively resolves interference issues, improving measurement reliability.
• The sensor shows significant potential for applications in intelligent ammonia leak detection and environmental monitoring.