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Related Concept Videos

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For example, the mass of helium...
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
Mass Spectrometers01:16

Mass Spectrometers

This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...

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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

From Spectra to Local Networks: Evaluating MS2 Similarity Metrics.

Viktoriia Turkina1, Quinten van Erp1, Annemieke Petrignani1

  • 1Van't Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, 1090 GD Amsterdam, The Netherlands.

Analytical Chemistry
|June 11, 2026
PubMed
Summary

Evaluating 20 spectral similarity metrics for liquid chromatography-high-resolution mass spectrometry (LC-HRMS) data revealed that most metrics struggle to resolve molecular networks effectively. Performance depends heavily on the chosen metric and threshold, not fragment ion count.

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Area of Science:

  • Analytical Chemistry
  • Mass Spectrometry
  • Computational Chemistry

Background:

  • Mass spectrometry (MS) spectral similarity is crucial for interpreting LC-HRMS-NTA data.
  • Various metrics beyond cosine similarity exist, offering different spectral matching perspectives.
  • Current library matching may not provide sufficient confidence for compound identification.

Purpose of the Study:

  • To evaluate the performance of 20 different MS2 spectral similarity metrics.
  • To assess the effectiveness of these metrics in resolving molecular networks from LC-HRMS/MS data.
  • To determine factors influencing the purity and resolution of molecular networks.

Main Methods:

  • Extracted 8290 sub-data sets from public and commercial LC-HRMS/MS spectral libraries.
  • Evaluated 20 similarity metrics by constructing single-generation local molecular networks.
  • Analyzed network resolution at various thresholds and assessed the influence of fragment ion number.

Main Results:

  • Most similarity metrics failed to produce pure molecular networks, with complete resolution achieved in only ~8% of cases at a 0.7 threshold.
  • Individual optimization of metrics improved resolution to ~20%, but performance remained limited.
  • Network resolution was primarily driven by the choice of similarity metric and thresholding behavior, not the number of fragment ions.

Conclusions:

  • Library matching alone provides limited confidence (below level 3) for compound identification in LC-HRMS/MS data.
  • The selection of similarity metric and threshold significantly impacts molecular network quality.
  • Cumulative strategies integrating multiple similarity metrics and orthogonal data (e.g., retention time) are necessary for robust identification.