Charge Detection Mass Spectrometry With Time-Window Signal Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current charge detection mass spectrometry instruments face challenges in accurately determining ion charge and mass-to-charge ratio due to limitations in signal processing, particularly in handling time-variant signals and duty cycles, which affect the precision of ion charge measurements.
Innovation Solution
The implementation of a method that processes time-domain ion measurement signals using a simulated ion signal to iteratively adjust input parameters, reducing variance between measured and simulated signals, and determining charge magnitude through cross-correlation and optimization algorithms, allowing for more precise charge determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional frequency domain analysis is used to process ion measurement signals, then the processing method is simple, but the charge measurement precision is insufficient
Solution Approach 1:
The patent implements dynamic signal processing by dividing the ion measurement signal into multiple time windows and applying iterative variance reduction algorithms to each window. This dynamic approach adapts to time-variant signals and duty cycles, improving charge measurement precision by 15-20% compared to static frequency domain analysis while managing complexity through systematic processing steps.
2Measurement precision
If time-domain analysis with iterative optimization is implemented, then charge precision improves by 15-20%, but the processing time and computational complexity increase
Solution Approach 1:
The patent segments the ion measurement signal into multiple time windows and processes each window independently using iterative optimization algorithms. This segmentation allows parallel processing of different signal portions, reducing overall processing time while achieving 15-20% improvement in charge precision through variance reduction in each segment.
Solution Approach 2:
The patent performs preliminary signal conditioning and parameter initialization before the main iterative optimization process. By pre-processing the signal to extract initial parameters and set up optimization constraints, the system reduces the number of iterations needed for convergence, thereby decreasing total processing time while maintaining the 15-20% precision improvement.
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 improves charge precision by 15% to 20% compared to traditional frequency domain analysis, reducing amplitude uncertainty and enhancing the accuracy of ion charge measurements, especially in applications with time-variant signals.
Implementation Method 1
collect ion measurement information based on output signals produced by the charge sensitive preamplifier as the trapped ion oscillates back and forth through the ELIT, the ion measurement information including charge induced by the ion on a charge detector of the ELIT
Data Source
AI summary
A charge detection mass spectrometer (CDMS) includes an electrostatic linear ion trap (ELIT), a processor, and a memory having instructions stored therein executable by the processor to (a) control the ELIT to trap an ion, (b) collect ion measurement information as the trapped ion oscillates back and forth through the ELIT, the ion measurement information including charge induced by the ion on a charge detector of the ELIT during each pass of the ion through the ELIT and timing of the induced charges relative to one another, (c) process the ion measurement information in the time-domain for each of a plurality of sequential time windows of the ion measurement information to determine a charge magnitude of the ion during each time window, and (d) determine the magnitude of charge of the trapped ion based on the charge magnitudes of each of the time windows.