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相关概念视频

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

2.3K
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...
2.3K
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

1.6K
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
1.6K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

8.1K
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...
8.1K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

1.5K
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...
1.5K
High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

2.3K
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...
2.3K

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相关实验视频

Updated: Jan 10, 2026

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解决方案适应式结合增强机器学习建模通过跨批次和多平台轨道轨道轨道基于枪炮质谱数据集成数据集成.

Hiu-Lok Ngan1, Jialing Zhang1, Kenneth Kin-Leung Kwan2,3

  • 1State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong 999077, P. R. China.

Analytical chemistry
|November 25, 2025
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概括

这项研究引入了一种新的质量分辨率适应性对接策略,以整合不同批次和平台的质谱数据. 该方法提高了用于疾病检测的机器学习模型通用性,提高了各种样本类型的准确性.

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科学领域:

  • 分析化学 分析化学
  • 计算生物学 计算生物学
  • 生物医学科学 生物医学科学

背景情况:

  • 关于质谱 (MS) 数据的机器学习 (ML) 有助于疾病建模,但在批量特定模型和有限的概括性方面面临挑战.
  • 传统的数据集成方法与质量到电荷 (m/z) 功能扎,阻碍了跨不同MS批量和平台的可靠数据组合.
  • 对强大的数据整合策略的需求对于在使用MS的疾病诊断中推进ML应用至关重要.

研究的目的:

  • 开发和验证一个适应大规模分辨率的MS数据的组合和整合战略.
  • 提高ML模型在不同MS数据集和平台上的可转移性和通用性.
  • 通过可靠整合多批次和多平台MS数据来提高疾病检测准确度.

主要方法:

  • 开发了一种新的质量分辨率适应性分类策略,以处理不同质谱分辨率的m / z特征.
  • 该策略在混合标准解决方案上进行了测试,在低质量区域中恢复了88-99%的地面真实特征.
  • 该方法应用于肝细胞癌的小鼠模型,整合了环境MS成像 (MSI) 和猎枪蛋白质组学数据.

主要成果:

  • 拟议的方法证明了在低,中,高质量区域的稳定分组和集成,性能优于传统技术.
  • 使用集成数据构建的预测模型与使用传统方法的模型相比,显示出更高的性能.
  • 在肝细胞癌小鼠模型中,确定了10种通用代谢物,通过MSI (F1得分=0.87) 和直接输液 (回忆=0.89) 准确检测疾病.

结论:

  • 大规模分辨率适应型组合和集成策略有效地克服了MS数据集成传统方法的局限性.
  • 这种新的方法显著提高了ML模型在各种样本引入方法中检测疾病的普遍性.
  • 该战略有望通过使多样化的数据集更准确,更可靠地集成来推进基于MS的诊断.