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Related Concept Videos

Mass Spectrometers01:16

Mass Spectrometers

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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:
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Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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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...
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Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview

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In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
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Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

5.1K
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 electrospray 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...
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Electrospray Ionization (ESI) Mass Spectrometry01:12

Electrospray Ionization (ESI) Mass Spectrometry

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Higher molecular weight biomolecules are nonvolatile compounds that may decompose before ionizing or vaporizing during mass analysis with conventional electron impact ionization methods. Accordingly, electrospray ionization (ESI) is the favored method for vaporizing and ionizing biomolecules as it circumvents rapid fragmentation and enables the recording of mass signals for the entire biomolecule.
ESI utilizes electrical energy to transfer ions from the liquid phase of the sample into the...
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Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and signal-to-noise ratio for the analyte. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.
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Visualization of Ambient Mass Spectrometry with the Use of Schlieren Photography
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Modern machine-learning applications in ambient ionization mass spectrometry.

Anatoly A Sorokin1, Stanislav I Pekov2,3,4, Denis S Zavorotnyuk1

  • 1Laboratory of Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.

Mass Spectrometry Reviews
|April 27, 2024
PubMed
Summary

Machine learning (ML) and artificial intelligence (AI) are revolutionizing ambient ionization mass spectrometry (AIMS). These technologies enhance data analysis for rapid and sensitive sample analysis, benefiting the AIMS community.

Keywords:
ambient ionisationdata analysisdeep learningmachine learningmass spectrometry imaging

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Area of Science:

  • Analytical Chemistry
  • Computational Chemistry

Background:

  • Ambient ionization mass spectrometry (AIMS) offers rapid, sensitive analysis with minimal sample preparation.
  • The increasing complexity of AIMS data necessitates advanced analytical approaches.

Purpose of the Study:

  • To provide a comprehensive overview of machine learning (ML) and artificial intelligence (AI) applications in AIMS.
  • To highlight advancements and benefits of integrating ML/AI with AIMS.

Main Methods:

  • Review of ML/AI algorithms applicable to AIMS data.
  • Discussion of key advancements in the field.

Main Results:

  • ML/AI integration significantly enhances data analysis capabilities in AIMS.
  • Various ML/AI algorithms are suitable for processing AIMS datasets.

Conclusions:

  • ML/AI are powerful tools for advancing AIMS.
  • The synergy between ML/AI and AIMS promises further innovation in mass spectrometry.