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相关概念视频

Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

244
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...
244
Inductively Coupled Plasma Atomic Emission Spectroscopy: Principle01:19

Inductively Coupled Plasma Atomic Emission Spectroscopy: Principle

866
Inductively coupled plasma (ICP) is the most widely used plasma source in atomic emission spectroscopy (AES), also known as Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES). The ICP source, or torch, consists of three concentric quartz tubes with argon gas flowing through them. A spark from a Tesla coil initiates the ionization of argon, generating a high-temperature plasma.
The ions and electrons produced interact with the fluctuating magnetic field created by a water-cooled...
866
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

625
Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
625
Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview

936
In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
936
Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

296
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....
296
Atomic Emission Spectroscopy: Instrumentation01:22

Atomic Emission Spectroscopy: Instrumentation

594
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.
594

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相关实验视频

Updated: Sep 11, 2025

Automated Preparation of [68Ga]Ga-3BP-3940 on a Synthesis Module for PET Imaging of the Tumor Microenvironment
10:33

Automated Preparation of [68Ga]Ga-3BP-3940 on a Synthesis Module for PET Imaging of the Tumor Microenvironment

Published on: April 25, 2025

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主要组件-泛化频谱-机器学习方法用于使用LIBS在替代矩阵中的量化.

Ashwin P Rao, Anil K Patnaik

    Applied optics
    |August 12, 2025
    PubMed
    概括

    这项研究引入了一种用于精确核材料分析的新型数据科学方法. 主要组件通用的频谱机器学习 (PC-GS-ML) 方法显著提高了在矩阵中的量化.

    科学领域:

    • 分析化学 分析化学
    • 数据科学数据科学数据科学
    • 核材料分析 核材料分析

    背景情况:

    • 核材料等复杂材料的原子辐射光谱通常是复杂的.
    • 准确的化学分析需要先进的方法来解释光谱特征.
    • 对于某些定量分析,现有的技术可能缺乏精度和灵敏度.

    研究的目的:

    • 开发和实施一种先进的光谱分析方法,用于精确的核材料定量分析.
    • 为了准确量化 (Ga) 在 (Ce) 矩阵中的含量.
    • 在精度和灵敏度方面改进现有方法.

    主要方法:

    • 实现光谱分析,将主要组件分析 (PCA) 与监督机器学习 (ML) 回归相结合.
    • 主要组件通用化频谱机器学习 (PC-GS-ML) 方法的开发.
    • 将PC-GS-ML应用于激光诱导分解光谱 (LIBS) 数据,用于Ce矩阵中的Ga量化.

    主要成果:

    • 与传统的光谱特征或PCA减小特征相比,PC-GS-ML方法显示出更高的模型准确性.
    • 预测误差低至0.08重量% Ga. 已经实现.
    • 与之前的研究相比,观察到Ga量化误差的数量级改进.

    更多相关视频

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    3D Depth Profile Reconstruction of Segregated Impurities Using Secondary Ion Mass Spectrometry
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    结论:

    • 在核材料的定量分析中,PC-GS-ML方法提供了显著的进步.
    • 这种方法为确定在矩阵中的度提供了更高的精度和灵敏度.
    • 这些发现突出了将数据科学与原子光谱学整合为复杂材料表征的潜力.