A method of extracting mass spectrometry data from mirror charge signals

By filtering the noise threshold and performing frequency domain complex least squares fitting on the image charge signal in the planar electrostatic ion trap, the problem of the complex spectrum of the image charge signal is solved, achieving efficient and accurate mass spectrometry data extraction and improving frequency positioning accuracy and computational efficiency.

CN122246038APending Publication Date: 2026-06-19NINGBO UNIV
View PDF 1 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NINGBO UNIV
Filing Date
2026-02-27
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

In existing technologies for processing planar electrostatic ion traps (PEITs), the high-order harmonics of the mirror charge signal lead to a complex spectrum, making it difficult to accurately extract ion information, requiring a large amount of computation, and making it difficult to achieve real-time mass spectrometry analysis.

Method used

By filtering noise thresholds, refining peak positions, and sorting frequency domain signals, and combining harmonic matching and scoring methods, the fundamental frequency and mass-to-charge ratio are extracted and confirmed. Quantitative analysis is then performed using complex least squares fitting in the frequency domain to distinguish between harmonic overlap and isolated mass-to-charge ratios.

Benefits of technology

It achieves a balance between high precision and high efficiency by maintaining high ion detection rate and quantitative stability in high-noise environments, reducing computational load, improving frequency positioning accuracy and analysis efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122246038A_ABST
    Figure CN122246038A_ABST
Patent Text Reader

Abstract

This invention provides a method for extracting mass spectrometry data from mirror charge signals. By screening the noise threshold, refining the peak positions, and sorting the frequency domain signal, the original, noisy continuous frequency domain signal is transformed into a clean, precise, and ordered set of frequencies. Combined with harmonic matching and scoring methods, a confirmed fundamental frequency set and a confirmed mass-to-charge ratio set are obtained. The mass-to-charge ratio in the confirmed mass-to-charge ratio set is further divided into harmonic overlap mass-to-charge ratio and isolated mass-to-charge ratio. The corresponding mass analysis results are obtained by fitting these values ​​into the frequency domain signal. This application can effectively handle complex scenarios such as fundamental frequency overlap and fundamental frequency-harmonic overlap, which is beneficial for maintaining a high ion detection rate and quantitative stability in strong noise environments, achieving the best balance between high precision and high efficiency.
Need to check novelty before this filing date? Find Prior Art