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Olfaction01:25

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The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
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A Flexible Single-Sensor MEMS E-Nose with Dual-Temperature Modulation for VOCs Classification and Breath-Based Silent

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Small (Weinheim an Der Bergstrasse, Germany)
|July 9, 2025
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Summary

This study presents a flexible electronic nose (e-nose) using a MEMS sensor and AI for gas detection and silent communication. The wearable device offers portable gas sensing and novel human-machine interaction capabilities.

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flexible sensorgas sensorhuman‐machine interactionmetal oxide semiconductorvolatile organic compounds

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Area of Science:

  • Materials Science
  • Sensor Technology
  • Artificial Intelligence

Background:

  • Conventional electronic noses (e-noses) are bulky and power-hungry, limiting their use in portable and wearable applications.
  • There is a need for compact, low-power gas detection systems for real-time monitoring and novel communication methods.

Purpose of the Study:

  • To develop a multifunctional, flexible e-nose system for portable gas detection and silent communication.
  • To enhance gas selectivity and enable efficient, low-complexity signal processing for embedded devices.

Main Methods:

  • Integration of a micro-electromechanical system (MEMS) gas sensor with a flexible printed circuit board (FPCB).
  • Utilization of ZnO-ZnSnO3 raspberry-like microspheres (ZZSRM) as gas-sensitive materials.
  • Implementation of a dual-temperature modulation strategy for enhanced selectivity and a MiniRocket algorithm for AI-based classification.
  • Development of a silent communication method mapping breathing frequency to Morse code.

Main Results:

  • The wearable flexible e-nose achieved high-precision classification and concentration prediction for eight volatile organic compounds (VOCs).
  • The system demonstrated robust recognition of exhaled signals and accurate conversion of Morse code for silent communication.
  • The MiniRocket algorithm enabled efficient feature extraction and low-complexity classification suitable for real-time processing.

Conclusions:

  • A multifunctional flexible e-nose merging portable gas detection and silent communication was successfully established.
  • The integration of gas sensing with AI technology offers a novel framework for environmental monitoring and human-machine interaction.
  • This wearable system addresses limitations of conventional e-noses, paving the way for advanced applications.