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相关概念视频

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

687
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...
687
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.4K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.4K
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

4.1K
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...
4.1K
High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

1.2K
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...
1.2K
Mass Spectrometers01:16

Mass Spectrometers

5.1K
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:
5.1K
Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

Matrix-Assisted Laser Desorption Ionization (MALDI)

257
Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI spectrometry is widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.
The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix material. The...
257

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相关实验视频

Updated: May 25, 2025

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
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Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS

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机器学习在小分子质谱学中

Yuhui Hong1, Yuzhen Ye1, Haixu Tang1

  • 1Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, Indiana, USA;

Annual review of analytical chemistry (Palo Alto, Calif.)
|February 27, 2025
PubMed
概括

机器学习 (ML) 通过预测质谱/质谱 (MS/MS) 光谱和改进化合物识别来增强小分子分析. 这促进了生物学理解和新诊断和治疗工具的开发.

科学领域:

  • 分析化学 分析化学
  • 计算化学的计算化学
  • 生物化学 生物化学

背景情况:

  • 双重质谱 (MS/MS) 对于小分子分析至关重要,但它面临着不完整的库和复杂数据的挑战.
  • 当前的计算方法与小分子识别的广度和复杂性作斗争.

研究的目的:

  • 审查机器学习 (ML) 对小分子质谱学的变革性影响.
  • 突出 ML 在光谱预测,属性估计和结构阐明中的应用.
  • 讨论ML集成的工作流程,以加强化合物识别.

主要方法:

  • 对分子表示 (描述器,SMILE字符串,图形) 的ML方法的审查.
  • 分析MS/MS光谱表示 (捆绑向量,峰值列表).
  • 检查ML在光谱预测,保留时间,碰撞截面和光谱匹配方面的进展.

主要成果:

  • 机理学预测MS/MS光谱和物理化学特性,扩大参考库.
  • 机器学习算法通过自动模式识别来改善光谱匹配.
  • ML可以从MS/MS光谱中直接预测分子结构.
  • ML集成的工作流程可以提高化学配方的识别.
关键词:
分子表示学习学习的学习.保留时间预测预测.小分子识别识别.串联质谱预测 串联质谱预测

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MALDI-Mass Spectrometric Imaging for the Investigation of Metabolites in Medicago truncatula Root Nodules
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Sample Preparation for Metabolic Profiling using MALDI Mass Spectrometry Imaging
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Sample Preparation for Metabolic Profiling using MALDI Mass Spectrometry Imaging

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相关实验视频

Last Updated: May 25, 2025

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
07:34

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MALDI-Mass Spectrometric Imaging for the Investigation of Metabolites in Medicago truncatula Root Nodules
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MALDI-Mass Spectrometric Imaging for the Investigation of Metabolites in Medicago truncatula Root Nodules

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Sample Preparation for Metabolic Profiling using MALDI Mass Spectrometry Imaging
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Sample Preparation for Metabolic Profiling using MALDI Mass Spectrometry Imaging

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结论:

  • ML克服了小分子识别中传统方法的局限性.
  • 这些ML应用显著提升了对生物系统的理解.
  • 机器学习的整合加速了新型诊断和治疗药物的开发.