Olfactory Sensor Profiling for Health Condition Determination
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Solution Overview
Problem
Existing olfactory sensors do not effectively determine health conditions, such as diseases, using odor detection.
Innovation Solution
A system utilizing an olfactory sensor with cells expressing olfactory receptors to detect time-dependent response signals from odorous molecules, comparing these signals to reference profiles from healthy and unhealthy subjects to determine health conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an olfactory sensor is used to detect odorous molecules, then odor detection capability is achieved, but health condition determination capability is not obtained
Solution Approach 1:
The patent applies preliminary action by pre-acquiring time-dependent response signals from multiple subjects with known health conditions (favorable and unfavorable) before actual health determination. These reference profiles are stored in advance and used for comparison during the determination process, enabling accurate health condition assessment without requiring real-time complex analysis.
Solution Approach 2:
The patent uses copying by creating reference profiles that replicate the response patterns of olfactory sensors when exposed to odorous molecules from subjects with specific health conditions. These copied response patterns serve as templates for comparing against new samples, allowing the system to determine health conditions by matching patterns rather than analyzing raw data from scratch.
2Measurement precision
If only simple odor detection is performed, then detection simplicity is maintained, but health condition determination accuracy is insufficient
Solution Approach 1:
The patent applies dimensionality change by transforming simple odor detection into multi-dimensional analysis through time-dependent response signals. Instead of measuring only the presence or concentration of odorous molecules, the system captures response signals that vary over time, adding the time dimension to the detection data. This enables more accurate health condition determination while maintaining relatively simple sensor hardware.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate determination of health conditions, including diseases like influenza, COVID-19, and cancers, by analyzing time-dependent luminescence intensity changes in response to odorous molecules.
Implementation Method 1
an olfactory sensor including sensor cells in which an olfactory receptor is expressed; and a detector that detects a response signal of the olfactory sensor
Implementation Method 2
a reporter gene that codes for a bioluminescent protein or a fluorescent protein
Data Source
AI summary
Provided are a determination method and the like, in which the health condition of a target can be determined by using an olfactory sensor.The determination method causing a computer to execute processing of: acquiring a time-dependent response signal with respect to a target subject derived from a determination target, detected by using an olfactory sensor including cells that have olfactory receptors and respond to odorous molecules; and determining a health condition of the determination target, on the basis of a profile of the acquired time-dependent response signal with respect to the target subject, and a first profile obtained from a time-dependent response signal with respect to a subject derived from a target with a favorable health condition and a second profile obtained from a time-dependent response signal with respect to a subject derived from a target with an unfavorable health condition.