Average Ion Response Calculation for Mass Spectrometry Identification
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Solution Overview
Problem
Mass spectra often lack sufficient information for identifying ion species, particularly the charge of ions, making correct mass assignment difficult and distinguishing between different classes of compounds challenging, such as lipids and peptides.
Innovation Solution
A system calculates and stores an average amplitude response for each peak in a mass spectrum during data acquisition using a mass analyzer with an analog-to-digital converter (ADC) detector subsystem, producing sub-spectra, summing ADC amplitudes and counts, and applying Poisson distribution to estimate ion counts, thereby providing complementary information for differentiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional mass spectra recording is used, then the measurement process is simple and fast, but the information contained in the spectra is insufficient to identify ion species and determine charge states
Solution Approach 1:
The system performs preliminary actions by recording multiple individual ion events and their amplitudes before final spectrum generation. By accumulating amplitude information from N individual ion detections prior to generating the final spectrum, the system preserves charge state information that would otherwise be lost in conventional mass spectrometry, enabling subsequent ion identification without requiring more complex hardware modifications.
2Measurement precision
If multiple extractions and calculations are performed to obtain average amplitude response, then ion species identification accuracy is improved, but the data acquisition time and processing complexity increase
Solution Approach 1:
The system applies self-service by using the recorded amplitude data from individual ion events to automatically calculate average amplitude responses and generate identification information without requiring additional experimental measurements or external reference data. The system processes its own raw amplitude data to produce the identification information, eliminating the need for separate calibration experiments or reference measurements that would consume additional time.
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 method enhances the identification of ion species by providing accurate average amplitude responses, enabling better differentiation between ions of the same mass but different charges or classes, and improving the accuracy of mass assignment.
Implementation Method 1
A mass analyzer that includes an analog-to-digital converter (ADC) detector subsystem analyzes a beam of ions
Implementation Method 2
an ion source that ionizes sample molecules
Implementation Method 3
For each ion of the spectrum, the processor calculates an estimated ion count from a Poisson distribution of the total count of each ion for the N sub-spectra
Data Source
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AI summary
Systems and methods are provided for calculating and storing an average amplitude response for each peak of a mass spectrum during data acquisition. A mass analyzer is instructed to analyze N extractions of an ion beam, producing N sub-spectra. For each sub-spectrum of the N sub-spectra, a nonzero amplitude from an ADC detector subsystem is counted as one ion, producing a count of one for each ion. The ADC amplitudes and counts of the N sub-spectra are summed, producing a spectrum that includes a summed ADC amplitude and a total count for each ion. For each ion of the spectrum, an estimated ion count is calculated from a Poisson distribution of the total count of each ion for the N sub-spectra. For each ion of the spectrum, an average amplitude response is calculated by dividing the summed amplitude by the estimated ion count and stored.