Mass Correction Using Background Ion Libraries Across LC Gradients
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Solution Overview
Problem
Current chromatographic techniques face challenges in accurately correcting mass-to-charge ratio data due to the variability of background components, which are often unknown and difficult to identify, especially when chromatographic conditions change, leading to difficulties in resolving analyte peaks and maintaining calibration.
Innovation Solution
A method involving the creation of a library of measured background component data across various chromatographic conditions, allowing for the identification and correction of background components in subsequent analyses without requiring knowledge of their elemental composition, by measuring and storing physico-chemical properties like mass-to-charge ratios under static conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If background components are used to correct mass-to-charge ratio drift, then mass spectrometry accuracy is improved, but the complexity of identifying and characterizing background components increases
Solution Approach 1:
The patent applies preliminary action by creating a library of background component data before actual sample analysis. The system pre-identifies and characterizes background components under various chromatographic conditions, storing their mass-to-charge ratios and retention times. This preliminary characterization eliminates the need for real-time identification during analysis, resolving the contradiction between improving measurement precision and reducing identification complexity.
Solution Approach 2:
The patent uses copying by creating reference copies of background component data in a library. Instead of directly analyzing and identifying background components during each sample run, the system creates standardized reference profiles that can be repeatedly used. This copying approach simplifies the correction process while maintaining high accuracy, as the reference data can be directly compared against actual measurements without requiring complex real-time identification.
2Reliability
If background component data is collected under multiple chromatographic conditions, then the reliability of mass correction across varying conditions is improved, but the time and resources required for data collection increase
Solution Approach 1:
The system performs preliminary data collection under multiple chromatographic conditions during library construction, before actual sample analysis. By pre-characterizing background components across different conditions (solvent compositions, temperatures, flow rates), the system establishes a comprehensive reference framework that ensures reliable correction regardless of condition variations. This preliminary multi-condition characterization prevents the need for repeated calibration, reducing overall time loss.
Solution Approach 2:
The patent applies universality by creating a multi-functional background component library that serves multiple purposes across different chromatographic conditions. The library is designed to be universally applicable to various solvent compositions, temperatures, and instrumental parameters. This universal reference framework allows a single library to correct mass-to-charge ratio drift across multiple conditions, reducing the need for separate calibration procedures for each condition and thereby minimizing time investment.
3Manufacturing precision
If background components are identified and corrected for, then the resolution of analyte peaks is improved, but the complexity of data processing and analysis increases
Solution Approach 1:
The patent uses copying by creating reference profiles of background components that can be directly compared against sample data. Instead of performing complex real-time deconvolution and identification, the system copies reference mass-to-charge ratios and retention times from the library and directly compares them with observed peaks. This simplified matching process improves analyte peak resolution by accurately subtracting background contributions while keeping data processing complexity manageable through straightforward pattern matching.
Solution Approach 2:
The patent applies the extraction principle by separating background component identification from analyte analysis. The system extracts and isolates background component characteristics into a dedicated library, then uses this extracted information to correct the sample data. By taking out the background characterization step and performing it separately during library construction, the system simplifies the actual sample analysis process while maintaining high resolution through accurate background subtraction.
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 enables accurate correction of mass spectral data and improves the resolution of analyte peaks by accounting for background components, reducing m/z drift and interference, even when chromatographic conditions vary, thus enhancing the reliability of mass spectrometry analyses.
Implementation Method 1
a mass spectrometer to measure one or more physico-chemical properties of one or more background components under each one of the set of a plurality of different chromatographic conditions
Implementation Method 2
chromatographically separating a sample to be analysed, the sample containing one or more analyte components
Data Source
AI summary
A method of mass spectrometry comprising the steps of: providing a library of background ion data including m/z data for multiple background ions in respect of different chromatographic conditions including a change of solvent composition from aqueous (1) to organic (3), chromatographically separating a sample containing analyte components, wherein the chromatographic separation is performed under a chromatographic condition in respect of which background ion data is provided in the library, analysing the sample to obtain sample data comprising m/z values for the sample components as a function of retention time (RT), and calculating one or more error values including ppm error as a function of retention time based on a comparison between background ions identified in the sample data and the library of background ion data. Outliers (4), corrupted measurements and inconsistent measurements at specific retention times are rejected.