ArticleScientific reports2017
Data-driven nanomechanical sensing: specific information extraction from a complex system.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Harnessing Explainable AI to Explore Structure-Activity Relationships in Artificial Olfaction.ACS applied materials & interfaces · 2025Article
- An Analytical Model of Sorption-Induced Static Mode Nanomechanical Sensing for Multicomponent Analytes.Analytical chemistry · 2025Article
- Sensitivity Analysis of an Optical Interferometric Surface Stress Ethanol Gas Sensor with a Freestanding Nanosheet.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
- Measurement of Volatile Fatty Acids in Silage through Odors with Nanomechanical Sensors.Biosensors · 2023Article
- Recent Advances in Nanomechanical Membrane-Type Surface Stress Sensors towards Artificial Olfaction.Biosensors · 2022Review
- Odor-Based Nanomechanical Discrimination of Fuel Oils Using a Single Type of Designed Nanoparticles with Nonlinear Viscoelasticity.ACS omega · 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
- A ppm Ethanol Sensor Based on Fabry-Perot Interferometric Surface Stress Transducer at Room Temperature.Sensors (Basel, Switzerland) · 2020Article
- Finite Element Analysis of Interface Dependence on Nanomechanical Sensing.Sensors (Basel, Switzerland) · 2020Article
- Free-hand gas identification based on transfer function ratios without gas flow control.Scientific reports · 2019Article
- Effects of Center Metals in Porphines on Nanomechanical Gas Sensing.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smells are known to be composed of thousands of chemicals with various concentrations, and thus, the extraction of specific information from such a complex system is still challenging. Herein, we report for the first time that the nanomechanical sensing combined with machine learning realizes the specific information extraction, e.g. alcohol content quantification as a proof-of-concept, from the smells of liquors. A newly developed nanomechanical sensor platform, a Membrane-type Surface stress Sensor (MSS), was utilized. Each MSS channel was coated with functional nanoparticles, covering diverse analytes. The smells of 35 liquid samples including water, teas, liquors, and water/EtOH mixtures were measured using the functionalized MSS array. We selected characteristic features from the measured responses and kernel ridge regression was used to predict the alcohol content of the samples, resulting in successful alcohol content quantification. Moreover, the present approach provided a guideline to improve the quantification accuracy; hydrophobic coating materials worked more effectively than hydrophilic ones. On the basis of the guideline, we experimentally demonstrated that additional materials, such as hydrophobic polymers, led to much better prediction accuracy. The applicability of this data-driven nanomechanical sensing is not limited to the alcohol content quantification but to various fields including food, security, environment, and medicine.
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Registered trials
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