Graphene Varactor Breath Sensor for Brain Condition Detection
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Solution Overview
Problem
Current methods for detecting brain conditions, such as injuries or diseases, often require subjects to visit clinics and may not provide timely information, leading to delayed treatment and potential significant damage or impairment.
Innovation Solution
A method involving obtaining an exhaled breath sample and contacting it with a chemical sensor element containing discrete graphene varactors to sense and store capacitance data, which is then classified into preestablished brain condition classifications, allowing for rapid detection and monitoring of brain conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current detection methods (blood draws, imaging) are used, then diagnostic accuracy can be achieved, but the subject must be present at a clinic and treatment is delayed
Solution Approach 1:
The patent extracts the detection function from the clinic setting by using a portable breath analysis device that can be deployed at the point of injury or in remote locations. The chemical sensor element with graphene varactors is designed to be transported and used outside traditional medical facilities, enabling detection without requiring the subject to be present at a clinic.
Solution Approach 2:
The patent uses breath as an intermediary medium to detect brain conditions. Instead of directly analyzing blood or performing imaging procedures that require clinical equipment, the system detects volatile organic compounds exhaled in breath, which serve as a non-invasive intermediary indicator of brain injury or disease state.
2Reliability
If current detection methods are used, then diagnosis can be obtained, but significant damage and impairment have already occurred
Solution Approach 1:
The patent enables preliminary detection of brain conditions before significant damage occurs by using breath analysis that can be performed immediately upon suspicion of injury. The chemical sensor detects biomarkers in breath that indicate early stages of brain injury, allowing treatment to be initiated before irreversible damage occurs, rather than waiting for later clinical assessment.
3Productivity
If rapid detection is achieved through breath analysis, then treatment time is reduced, but the complexity of the chemical sensor system increases
Solution Approach 1:
The patent utilizes parameter changes in the chemical properties of breath samples to detect brain conditions. The graphene varactor sensors detect changes in electrical parameters (capacitance, resistance) that occur when breath components interact with the sensor surface, allowing rapid detection through electrical measurement rather than complex chemical analysis.
Solution Approach 2:
The patent employs composite material structures in the chemical sensor, combining graphene with varactor diode elements to create a device that integrates sensing and signal processing functions. This composite structure enables rapid detection while managing system complexity through material-level integration rather than separate components.
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 rapid and accurate detection of brain conditions, including traumatic and ischemic injuries, enabling early treatment and monitoring of condition progression, potentially reducing damage and improving patient outcomes.
Implementation Method 1
sensing and storing capacitance of the discrete graphene varactors to obtain a sample data set
Implementation Method 2
the chemical sensor element includes a plurality of discrete graphene varactors
Data Source
AI summary
Embodiments herein include a method for detecting a brain condition in a subject. The method can include obtaining a breath sample from the subject and contacting it with a chemical sensor element, where the chemical sensor element includes a plurality of discrete graphene varactors. The method can include sensing and storing capacitance of the discrete graphene varactors to obtain a sample data set and classifying the sample data set into one or more preestablished brain condition classifications. Other embodiments are also included herein.