Mass Spectrometer Noise Removal via Linear Adduct Filtering
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Solution Overview
Problem
Chemical noise or background ions in mass spectrometry can be misinterpreted as analyte data, leading to lower scores or false positive identifications, particularly due to multiply charged clusters and adduct ions of unknown origin.
Innovation Solution
A method is developed to identify and remove or attenuate adduct or chemical artefact ions with a substantially linear mass to charge ratio relationship to the parent or precursor ions, using a mass spectrometer with a control system that determines and filters out these ions from the mass spectral data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If chemical noise or background ions are included in mass spectral data analysis, then the quantity of data available for analysis increases, but false positive identifications and lower scoring occur due to misinterpretation of noise as analyte data
Solution Approach 1:
The patent extracts and removes adduct ions and chemical noise from mass spectral data by identifying their characteristic linear relationships in mass-to-charge ratio space. The control system detects these noise components and selectively eliminates them while preserving genuine analyte signals, thereby maintaining data quantity while improving identification reliability
Solution Approach 2:
The control system employs feedback mechanisms by continuously monitoring mass spectral data for patterns characteristic of chemical noise (linear relationships between mass-to-charge ratios). When such patterns are detected, the system automatically adjusts by removing these identified noise components, creating a closed-loop process that improves identification accuracy
2Reliability
If adduct ions are removed from mass spectral data, then false positive identifications are reduced, but the complexity of data processing increases due to the need to identify and differentiate noise patterns
Solution Approach 1:
The patent replaces complex manual or heuristic noise filtering methods with an automated control system that uses mathematical relationships (linear mass-to-charge ratio patterns) to identify and remove adduct ions. This substitution of automated algorithmic processing for manual analysis reduces the perceived complexity while maintaining high identification accuracy
3Measurement precision
If a control system is added to identify and remove adduct ions, then the specificity of MS/MS data is improved, but the device complexity and processing time increase
Solution Approach 1:
The control system performs self-service by automatically identifying and removing adduct ions without requiring external intervention or complex manual configuration. The system uses inherent patterns in the mass spectral data (linear mass-to-charge relationships) to autonomously filter noise, thereby improving data specificity while minimizing the operational complexity burden
Data Source
AI summary
A method of mass spectrometry is disclosed comprising mass analyzing ions and obtaining mass spectral data and determining parent or precursor ions of interest. The method further comprises determining first adduct or chemical artifact ions which have mass to charge ratios which have a substantially linear relationship with the mass to charge ratio of the parent or precursor ions of interest and removing or attenuating the first adduct or chemical artifact ions from the mass spectral data.