Breath Isotope Oscillation Detection for Rapid Metabolic State Diagnosis
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Solution Overview
Problem
Current methods for detecting the onset of a catabolic state or infection in organisms are invasive, require baseline measurements, and struggle to provide timely detection, especially within short-term infection periods, as they rely on measuring isotope ratio changes over several hours or days.
Innovation Solution
Monitoring breath for oscillations in isotope ratios over shorter time intervals using techniques like Savitzky-Golay filtering and Hilbert-Huang transformation to identify distinct oscillation patterns, allowing for the determination of transitions from healthy to unhealthy states or vice versa, and assessing infection severity by comparing these patterns to reference populations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If baseline measurements are used to detect catabolic state, then measurement precision is improved, but detection time increases to several hours or days
Solution Approach 1:
The patent applies preliminary action by establishing a baseline isotope ratio measurement before the onset of catabolic state or infection. This baseline serves as a reference point that enables rapid detection of deviations without requiring prolonged monitoring periods. The baseline measurement is taken when the organism is in a healthy state, allowing subsequent comparisons to quickly identify pathological transitions within minutes rather than hours or days.
Solution Approach 2:
The patent employs periodic action by taking repeated isotope ratio measurements at regular short intervals (e.g., every few minutes) after the baseline measurement. This periodic sampling captures the dynamic changes in isotope ratios that occur during the transition to catabolic state or infection, enabling timely detection by identifying significant deviations from the baseline within a short monitoring window.
2Reliability
If isotope ratio changes are measured over long periods, then reliability of detection is improved, but productivity decreases due to slow response
Solution Approach 1:
By establishing a baseline measurement in advance when the organism is healthy, the patent eliminates the need for prolonged monitoring to determine the starting point. This preliminary action allows the system to immediately begin detecting deviations with high reliability using a fixed reference point, thereby achieving both accurate detection and rapid response without the delay of long-term monitoring.
Solution Approach 2:
The patent applies self-service by using the organism's own baseline isotope ratio as the reference standard for detection. This self-referential approach eliminates dependency on external control groups or population averages, allowing each individual to serve as their own control. The system achieves high reliability by comparing current measurements against the individual's own baseline, enabling rapid and accurate detection of state transitions.
3Measurement precision
If comparison specimens are required for detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent inverts the traditional approach by using the individual's own baseline measurement as the reference instead of requiring external comparison specimens or control groups. This inversion transforms the detection system from one that needs separate reference samples to one that uses the subject's own historical data, thereby maintaining measurement precision while eliminating the complexity of managing additional specimens or control subjects.
Solution Approach 2:
The system uses self-service by having each organism serve as its own control through baseline comparison. The individual's pre-established baseline isotope ratio acts as an internal reference standard, eliminating the need for external comparison specimens, control groups, or complex calibration procedures. This self-referential approach maintains detection precision while significantly simplifying the overall system requirements.
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 non-invasive detection of catabolic or infected states, independent of dietary influences, with the ability to differentiate between healthy and unhealthy states within 35 minutes, and determine infection severity by analyzing oscillation patterns in breath isotope ratios.
Implementation Method 1
by comparing the sampled ratio (C13: C 12) to a baseline ratio in the organism by testing breath samples in a mass spectrometer
Data Source
AI summary
The methods described herein are based on the observation that oscillations in breath isotope ratio data can be used for the purpose of identifying an "unhealthy" state in an organism such as a human. Described herein are methods of determining the state of health of an individual, such as the transition from healthy to infected, by identifying changes in oscillation modes in breath isotope ratio data. Changes in the frequency and/or amplitude of the oscillation modes are correlated with the heath of the individual. The methods can advantageously be used to provide information about the health of an individual in shorter periods of time than previous methods.