Helicobacter pylori detection using dynamic homogenization control
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Solution Overview
Problem
Current methods for detecting Helicobacter Pylori using the 13C-urea breath test are time-consuming, making them unsuitable for handling large numbers of examinations in clinical settings.
Innovation Solution
The method involves measuring the 13C content during the homogenization process and using the first recorded values that meet a specified standard deviation as results, reducing the need for waiting and allowing for continuous or intermittent measurement, while also optimizing the flushing and sample introduction processes to minimize time and ensure accurate CO2 content determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the measuring chamber is purged for a fixed time (30-60 seconds) and the sample is introduced after a predetermined waiting time (20-40 seconds) with a fixed measurement duration (15-30 seconds), then the measurement reliability is ensured through complete homogenization, but the total analysis time becomes excessively long (over 2 minutes per test)
Solution Approach 1:
The patent applies dynamic adaptation by replacing fixed time parameters with real-time monitoring. The system continuously measures CO2 concentration during homogenization and automatically determines when homogenization is complete based on preset precision requirements. This dynamic approach allows the process to adapt to actual sample conditions, eliminating unnecessary waiting time while ensuring measurement reliability is achieved.
Solution Approach 2:
The system implements feedback control by continuously monitoring CO2 concentration during the homogenization process and comparing it against precision criteria. When the concentration stabilizes within the acceptable range, the system automatically terminates the homogenization phase and begins measurement. This feedback mechanism ensures reliable results while minimizing the time required, directly resolving the contradiction between reliability and time efficiency.
2Measurement precision
If the system waits for complete homogenization before starting measurements to ensure accurate 13C to 12C ratio determination, then measurement precision is improved, but the time required for each test increases significantly
Solution Approach 1:
The system uses real-time feedback monitoring of CO2 concentration during homogenization. Instead of waiting for a fixed period, the system continuously measures and compares concentration values against precision criteria. When the concentration stabilizes within the acceptable range, measurement begins automatically. This ensures measurement precision is achieved while eliminating unnecessary waiting time.
Solution Approach 2:
The system performs self-assessment of homogenization completion by automatically monitoring its own measurement conditions. The control unit evaluates whether the CO2 concentration has stabilized sufficiently for accurate measurement and makes the decision to transition to the measurement phase without external intervention. This self-service approach optimizes the timing balance between precision and speed.
3Ease of operation
If fixed time protocols are used for purging, sample introduction, and measurement phases, then the procedure is simple to operate, but the throughput of tests that can be performed daily is severely limited
Solution Approach 1:
The system performs self-management of the measurement process by automatically monitoring CO2 concentration, determining homogenization completion, and controlling the transition between phases. The control unit autonomously adjusts timing based on real-time conditions while maintaining procedural simplicity for the operator. This self-service capability dramatically increases throughput without complicating user interaction.
Solution Approach 2:
The system dynamically adapts the timing of each phase based on actual sample conditions rather than following rigid fixed schedules. The purging duration, sample introduction timing, and measurement start point are all optimized in real-time based on CO2 concentration monitoring. This dynamic approach maintains ease of operation while maximizing daily test throughput by eliminating unnecessary delays.
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
This approach significantly reduces the overall time required for detection, enabling rapid and efficient analysis of Helicobacter Pylori infections by utilizing real-time measurement and automated control of gas flow and valve operations, thereby improving the method's applicability in high-throughput clinical diagnostics.
Implementation Method 1
Non-dispersive infrared spectroscopy (NDIR spectroscopy) is used for the analysis of the breath. Filtered infrared radiation passes through a measuring chamber containing the gas to be analyzed. By measuring the absorption spectrum with an infrared detector, conclusions can be drawn about the 13C content in the sample.
Data Source
Figure 1
AI summary
The 13C urea breath test has been established in the area of clinical diagnostics for detecting Helicobacter pylori infections. In known methods for detecting Helicobacter pylori, each method step corresponds to a fixed specified time. This proves to be disadvantageous, however, in particular when carrying out a large number of such examinations. Thus, the aim of the invention is to provide a method with which a quick detection of Helicobacter pylori in a gaseous sample can be implemented. According to the invention, the 13C content is measured only until a minimum number of measurement values of the 13C content meets a specified standard deviation.