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Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
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Atomic Emission Spectroscopy: Overview01:20

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Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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Atomic Emission Spectroscopy: Lab01:29

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AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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Atomic Emission Spectroscopy: Instrumentation01:22

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The instrumentation of atomic emission spectrometry (AES) involves various components, including atomization devices that convert samples into gas-phase atoms and ions. There are two main types of atomization devices: continuous and discrete atomizers.  Continuous atomizers, like plasmas and flames, introduce samples in a constant stream, while discrete atomizers inject individual samples using syringes or autosamplers. The most common discrete atomizer is the electrothermal atomizer.
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Atomic Emission Spectroscopy: Interference01:30

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In atomic emission spectroscopy (AES), high-temperature atomizers excite a broad range of elements and molecules that generate complex emissions from sources such as oxides, hydroxides, and flame combustion products in the flame or plasma. Several strategies can be employed to minimize spectral interferences caused by overlapping emission lines or bands. These include increasing instrument resolution, choosing alternative emission lines, optimally placing the detector in low-background regions,...
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Measurement of Total Calcium in Neurons by Electron Probe X-ray Microanalysis
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AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning.

In Hui Hwang1, Mikhail A Solovyev1, Sang Wook Han2

  • 1X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA.

Journal of Synchrotron Radiation
|September 8, 2022
PubMed
Summary
This summary is machine-generated.

The Argonne X-ray Emission Analysis Package (AXEAP) processes 2D X-ray emission spectroscopy (XES) data in real time. This software enables rapid analysis and reduces data storage needs for XES experiments.

Keywords:
AXEAPXESunsupervised machine learninguser-friendly interface

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Area of Science:

  • Spectroscopy
  • Materials Science
  • Data Analysis

Background:

  • X-ray emission spectroscopy (XES) generates large, complex datasets.
  • Processing 2D position-sensitive detector data requires efficient calibration and analysis tools.
  • Real-time data processing is crucial for optimizing experimental parameters and reducing storage.

Purpose of the Study:

  • To develop a software package for calibrating and processing 2D XES data.
  • To enable real-time conversion of 2D XES images into spectra.
  • To facilitate efficient data handling and analysis for XES experiments.

Main Methods:

  • Developed the Argonne X-ray Emission Analysis Package (AXEAP).
  • Implemented algorithms combining calculations and unsupervised machine learning for image-to-spectrum conversion.
  • Designed a user-friendly interface for processing non-resonant and resonant XES data.

Main Results:

  • AXEAP achieves real-time data processing, matching data collection rates.
  • The software significantly reduces data storage requirements from gigabytes to kilobytes.
  • AXEAP successfully processes XES data from multiple edges and elements.

Conclusions:

  • AXEAP provides an efficient solution for real-time analysis of 2D XES data.
  • The package enhances experimental workflow by enabling immediate data assessment.
  • AXEAP is a versatile tool compatible with common operating systems for XES analysis.