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相关概念视频

Mass Analyzers: Overview01:13

Mass Analyzers: Overview

632
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...
632
Atomic Absorption Spectroscopy: Instrumentation01:22

Atomic Absorption Spectroscopy: Instrumentation

613
An atomic absorption spectrophotometer (AAS) comprises several components: a radiation source, an atomizer, a monochromator, and a detector. The radiation source can be a hollow-cathode lamp (HCL) or an electrodeless-discharge lamp (EDL), both of which provide a narrow emission line of the required wavelength. However, some instruments use continuum sources and high-resolution monochromators to achieve a narrow range of radiation.
The atomizer used in AAS can be either a flame atomizer or an...
613
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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Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

737
Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
737
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

743
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...
743
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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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...
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Updated: Jun 23, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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通过机器学习实现自动化光谱仪对齐.

Peter Feuer-Forson1, Gregor Hartmann1, Rolf Mitzner1

  • 1Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, Albert-Einstein-Strasse 15, 12489 Berlin, Germany.

Journal of synchrotron radiation
|June 20, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用优化器和神经网络自动化光谱仪对齐的新方法. 该技术显著减少了调整时间从一个小时到五分钟,适用于各种研究仪器.

关键词:
在X射线中,X射线的衍射效果是不同的.仪器仪表仪器仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪器仪表仪表仪表仪器仪表仪表仪器仪表仪器仪表仪表仪器仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪器仪表仪表仪表仪表仪器仪表仪器仪表仪表仪器机器学习是机器学习.反射区板的反射区板.

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科学领域:

  • 仪器仪表和测量仪器的使用
  • 计算物理 计算物理
  • 射线光学X射线光学

背景情况:

  • 仪器对齐是实验研究中一个关键但耗时的过程.
  • 尽管部件电机化,但自动调整解决方案往往缺乏.
  • 移动软X射线光谱仪在实验期间需要经常进行优化.

研究的目的:

  • 为移动软X射线光谱仪开发一种新的,自动化的对齐方法.
  • 显著减少仪器优化所需的时间和精力.
  • 为各种光束线光学元件创建适用于各种光束线光学元件的通用化方法.

主要方法:

  • 使用优化器与神经网络替代模型相结合.
  • 训练的神经网络完全基于模拟的光线追踪数据.
  • 通过参数优化和实时验证确定模拟-实验差异.

主要成果:

  • 缩短了仪器调整时间,从大约一小时减少到大约五分钟.
  • 使用实验性光束线数据证明了成功的实时验证.
  • 验证了神经网络代理模型方法的有效性.

结论:

  • 拟议的方法可以大幅减少对齐开销.
  • 这种方法可用于研究设施的其他光学元件对齐.
  • 调整过程的自动化可以显著提高研究效率.