Mass Spectrometer Mass Extraction via Logarithmic Spectrum Transformation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for extracting mass information from low resolution mass-to-charge ratio spectra of multiply charged species are hindered by noise, extraneous peaks, and require peak picking and user input, leading to inaccuracies and artefact generation.
Innovation Solution
A method involving the transformation of mass-to-charge ratio spectra using logarithmic and smoothing functions to generate a signal-enhanced spectrum, which allows for the identification of parent molecule masses without relying on peak picking and reduces the influence of background noise, utilizing a processor to calculate summations across varying charge states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If peak picking techniques are used to extract mass information from low resolution spectra, then the process is simplified, but accuracy deteriorates due to misrepresentation of asymmetric peaks and susceptibility to extraneous peaks
Solution Approach 1:
The patent extracts only the necessary information (parent molecule masses) from the complex mass-to-charge ratio spectrum by using a correlation function that integrates signal intensity across multiple charge states, rather than attempting to pick individual peaks. This extraction approach avoids the pitfalls of peak picking while maintaining accuracy.
Solution Approach 2:
The patent introduces a correlation function as an intermediary mathematical tool that processes the entire spectrum and charge state distribution. This intermediary transforms the complex spectral data into accurate parent molecule mass information without requiring direct peak picking or user interpretation.
2Productivity
If deconvolution methods are used to extract mass information, then comprehensive analysis is achieved, but reliability deteriorates due to generation of artefact peaks from background noise
Solution Approach 1:
The patent performs preliminary smoothing of the mass-to-charge ratio spectrum before applying the correlation function. This preliminary action reduces background noise and extraneous peaks that would otherwise lead to artefact generation, while preserving the essential spectral features needed for accurate mass determination.
Solution Approach 2:
The patent converts the potentially harmful effect of background noise and extraneous peaks into a benefit by using integration across multiple charge states. The correlation function sums signal intensities over a range of m/z values, causing random noise to cancel out while reinforcing the true parent molecule signals.
3Measurement precision
If user input and parameter definition are required for noise level setting, then measurement precision can be optimized, but ease of operation deteriorates requiring skilled practitioners
Solution Approach 1:
The patent makes the system self-service by automatically determining appropriate processing parameters through the correlation function. The method inherently adapts to the spectral characteristics without requiring users to define noise levels or other parameters, eliminating the need for skilled operation while maintaining precision.
Solution Approach 2:
The patent changes the fundamental parameter approach from user-defined noise levels to a correlation-based integration method. By transforming the problem from threshold-based peak detection to continuous correlation analysis, the system automatically adapts to different noise conditions without user intervention.
4Productivity
If low resolution mass spectrometry is used for on-line analysis, then productivity increases through miniaturisation and reduced cost, but measurement precision deteriorates due to inability to resolve isotopic peaks for charge state assignment
Solution Approach 1:
The patent moves the analysis from a one-dimensional peak picking approach to a two-dimensional correlation approach by integrating across both m/z ratio and charge state dimensions. This dimensional transformation allows low resolution instruments to achieve high precision by utilizing the distribution of ions across multiple charge states rather than relying on isotopic resolution of single peaks.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
An apparatus and method for extracting mass information from low resolution mass-to-charge ratio spectra of multiply charged species is described. Curve fitting is performed using the logarithm of the mass to charge data, which deemphasizes noise induced disturbances.