VOC Detection for Rapid Non-Invasive Disease Screening
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Solution Overview
Problem
Current methods for detecting infectious diseases and bio-threats are often invasive, require chemical reagents, and are not suitable for rapid, high-throughput screening, especially in public health settings where immediate identification of disease carriers is critical for preventing the spread of infections.
Innovation Solution
A device that non-invasively collects and analyzes volatile organic compounds (VOCs) from a bio-sample, using nano-sensor elements to identify unique VOC signatures associated with specific diseases or bio-threats, without the need for reagents or sample preparation, allowing for real-time detection and rapid screening of individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional disease detection methods are used, then detection accuracy can be maintained, but screening speed and throughput are too slow for high-volume public health screening
Solution Approach 1:
The patent replaces conventional mechanical/chemical diagnostic systems with an electronic sensor array system that detects VOCs. The sensor array with pattern recognition algorithms substitutes traditional laboratory-based mechanical processes, enabling rapid simultaneous detection of multiple disease markers without sequential testing.
Solution Approach 2:
The patent changes the detection parameter from direct pathogen detection to indirect VOC signature detection. By monitoring volatile organic compounds exhaled by patients, the system transforms the detection approach to enable faster, non-contact screening while maintaining diagnostic information through pattern recognition of VOC profiles.
2Reliability
If invasive sampling methods are used, then sample quality can be ensured, but patient comfort and screening acceptance are reduced
Solution Approach 1:
The patent extracts the diagnostic information from the patient's breath rather than requiring intrusion into the body. By capturing volatile organic compounds exhaled naturally by patients, the system obtains reliable diagnostic data without invasive procedures, significantly improving patient comfort and acceptance while maintaining detection reliability.
3Measurement precision
If chemical reagents are used in detection, then detection sensitivity can be achieved, but device complexity and operational requirements increase
Solution Approach 1:
The sensor array system performs self-calibration and self-diagnosis through integrated microprocessors and pattern recognition algorithms. The system automatically processes raw sensor signals, identifies VOC patterns, and generates diagnostic results without requiring external chemical reagents or complex manual processing, reducing both device complexity and operational requirements while maintaining detection sensitivity.
4Loss of time
If rapid screening is implemented, then public health response time is improved, but detection accuracy may be compromised
Solution Approach 1:
The system performs preliminary pattern recognition and signal processing immediately as VOCs are detected, rather than requiring subsequent laboratory analysis. The microprocessor-based pattern recognition algorithm preliminarily identifies disease signatures in real-time, enabling rapid screening while maintaining accuracy through continuous multi-parameter monitoring and statistical analysis of VOC patterns.
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, accurate identification of disease carriers, facilitating safe operation of public venues and early detection of infectious diseases or cancers, thereby improving public health outcomes and reducing economic disruption.
Implementation Method 1
assaying volatile organic compounds (VOCs) in a gaseous state from a non-invasive bio-sample
Data Source
AI summary
A real-time disease detection system that rapidly assesses volatile organic compounds (VOCs). This invention delivers high-sensitivity capture, classification and pattern recognition to identify unique VOC profiles derived from a bio-sample or gas emitted from a donor (palm). The detector unit can be configured to screen for one or more disease(s), e.g., infectious, autoimmune, oncolytic disease, etc. The sample may be instantly analyzed on-site or collected remotely, thus providing a practical real-time screening process for testing persons of interest, in high-volume, high-throughput, access controlled environments such as airports, convention centers, government facilities, sporting arenas, etc., or examination room, waiting room, remote laboratory, etc. The device can be programmed to screen for a specific disease or for general detection of a plurality of known diseases.