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相关概念视频

Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

161
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...
161
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

2.1K
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...
2.1K
Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

212
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....
212
Atomic Emission Spectroscopy: Instrumentation01:22

Atomic Emission Spectroscopy: Instrumentation

378
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.
378
Atomic Spectroscopy: Absorption, Emission, and Fluorescence01:23

Atomic Spectroscopy: Absorption, Emission, and Fluorescence

878
Atomic spectroscopy is a vital tool in elemental analysis, both qualitatively and quantitatively. It can be broadly divided into optical spectroscopy, mass spectroscopy, and X-ray spectroscopy methods. The optical spectroscopic methods are atomic absorption spectroscopy (AAS), atomic emission spectroscopy (AES), and atomic fluorescence spectroscopy (AFS). The first step in all three methods is atomization, where the solid, liquid, or solution-phase samples are converted into gas-phase atoms and...
878
Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

182
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,...
182

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相关实验视频

Updated: Jun 26, 2025

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
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使用机器学习辅助的激光诱导分解光谱技术对电子废物进行分类.

Zahid Ali1,2, Yasir Jamil1,2, Hafeez Anwar2

  • 1Laser Spectroscopy Lab, Department of Physics, University of Agriculture Faisalabad, Pakistan.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
|May 10, 2024
PubMed
概括

人工智能 (AI) 与激光诱导分解光谱学 (LIBS) 结合,有效地将电子废物中的合金分类. 这种无接触方法提高了回收效率,并减少了废物管理中的手工劳动.

关键词:
电子垃圾是一种电子垃圾.在LIBS中,LIBS是指LIBS.合金是一种合金.人工智能的人工智能是人工智能.这是分类分类的分类.机器学习是机器学习.

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Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
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Laser-induced Breakdown Spectroscopy: A New Approach for Nanoparticle's Mapping and Quantification in Organ Tissue
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相关实验视频

Last Updated: Jun 26, 2025

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03:49

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Published on: June 10, 2019

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Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
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Laser-induced Breakdown Spectroscopy: A New Approach for Nanoparticle's Mapping and Quantification in Organ Tissue
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科学领域:

  • 材料科学 材料科学 材料科学
  • 环境科学 环境科学
  • 计算机科学 计算机科学

背景情况:

  • 可持续的废物管理对于经济增长和资源保护至关重要.
  • 电子废物 (电子废物) 的管理需要高效的金属分类.
  • 人工智能 (AI) 提供了快速,无接触的电子垃圾分类潜力.

研究的目的:

  • 评估基于人工智能的激光诱导分解光谱 (LIBS) 系统,用于在电子废物中分类合金.
  • 为了比较不同机器学习 (ML) 模型对此分类任务的有效性.

主要方法:

  • 利用激光诱导分解光谱学 (LIBS) 来获得五种类型的合金的光谱数据.
  • 采用机器学习 (ML) 分类器,包括主要组件分析 (PCA) 和K-近邻 (kNN) 变体.
  • 训练有素的监督ML模型,对80%的光谱数据进行了10倍的交叉验证,并对20%进行了测试.

主要成果:

  • 主要成分分析 (PCA) 在区分合金光谱方面无效.
  • 标准的K-近邻 (kNN) 模型的准确性不到30%.
  • 将kNN与随机子空间方法组合起来,显著提高了分类准确度,达到98%.

结论:

  • 一个基于人工智能的LIBS系统提供了有效的,非接触的电子废料合金的分类.
  • 这项技术可以与机器人系统集成,以尽量减少回收过程中的手工劳动.
  • 这项研究表明了加强电子废物管理和资源回收的可行方法.