ArticleScientific reports2019
Free-hand gas identification based on transfer function ratios without gas flow control.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Harnessing Explainable AI to Explore Structure-Activity Relationships in Artificial Olfaction.ACS applied materials & interfaces · 2025Article
- Optimization of Temperature Modulation for Gas Classification Based on Bayesian Optimization.Sensors (Basel, Switzerland) · 2024Article
- Sniffing Like a Wine Taster: Multiple Overlapping Sniffs (MOSS) Strategy Enhances Electronic Nose Odor Recognition Capability.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Sensing signal augmentation by flow rate modulation of carrier gas for accurate differentiation of complex odours.Science and technology of advanced materials · 2024Article
- Repetitive Direct Comparison Method for Odor Sensing.Biosensors · 2023Article
- Recent Advances in Nanomechanical Membrane-Type Surface Stress Sensors towards Artificial Olfaction.Biosensors · 2022Review
- Simulation of gas sensing mechanism of porous metal oxide semiconductor sensor based on finite element analysis.Scientific reports · 2021Article
- Statistical Evaluation of Total Expiratory Breath Samples Collected throughout a Year: Reproducibility and Applicability toward Olfactory Sensor-Based Breath Diagnostics.Sensors (Basel, Switzerland) · 2021Article
- Determination of quasi-primary odors by endpoint detection.Scientific reports · 2021Article
- Development of a Mobile Device for Odor Identification and Optimization of Its Measurement Protocol Based on the Free-Hand Measurement.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gas identification is one of the most important functions of a gas sensor system. To identify gas species from sensing signals without gas flow control such as pumps or mass flow controllers, it is necessary to extract decisive dynamic features from complex sensing signals due to uncontrolled airflow. For that purpose, various analysis methods using system identification techniques have been proposed, whereas a method that is not affected by a gas input pattern has been demanded to enhance the robustness of gas identification. Here we develop a novel gas identification protocol based on a transfer function ratio (TFR) that is intrinsically independent of a gas input pattern. By combining the protocol with MEMS-based sensors-Membrane-type Surface stress Sensors (MSS), we have realized gas identification with a free-hand measurement, in which one can simply hold a small sensor chip near samples. From sensing signals obtained through the free-hand measurement, we have developed highly accurate machine learning models that can identify odors of spices and herbs as well as solvent vapors. Since no bulky gas flow control units are required, this protocol will expand the applicability of gas sensors to portable electronics, leading to practical artificial olfaction.
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