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Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

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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: 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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Particle size distribution measurement based on the angular scattering efficiency factor spectra inversion-simulation

Zhihui Wang, Tianyuan Liu, Tianlin Li

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    |June 29, 2023
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    A new method accurately quantifies particle size distribution (PSD) in complex systems using angular scattering efficiency factors (ASEF) spectra. This overcomes limitations of existing techniques for polydisperse particles, enabling better characterization across scientific fields.

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    Area of Science:

    • Physics
    • Optical Science
    • Materials Science

    Background:

    • Particle size distribution (PSD) is crucial in diverse fields, yet accurately measuring it in polydisperse systems remains challenging.
    • Current light scattering methods struggle to provide relative content information for each particle size component in complex mixtures.
    • Existing techniques for monodisperse systems lack the precision needed for polydisperse particle characterization.

    Purpose of the Study:

    • To introduce a novel PSD inversion method utilizing angular scattering efficiency factors (ASEF) spectrum.
    • To address the limitations of current methods in quantifying relative component information for polydisperse particle systems.
    • To enhance the accuracy and efficiency of PSD measurements in complex particle systems.

    Main Methods:

    • Developed a PSD inversion technique based on the angular scattering efficiency factors (ASEF) spectrum.
    • Established a light energy coefficient distribution matrix for PSD measurement.
    • Employed inversion algorithms combined with scattering spectrum measurements.
    • Utilized multi-wavelength distribution of scattered light (β(λ)) instead of spatial distribution (I(θ)).

    Main Results:

    • Simulations and experiments validated the proposed PSD inversion method.
    • Investigated the impact of noise, scattering angle, wavelength, and size discretization on inversion accuracy.
    • Condition number analysis identified optimal parameters (scattering angle, size range, discretization) to reduce RMSE.
    • Wavelength sensitivity analysis selected optimal spectral bands for improved accuracy and speed.

    Conclusions:

    • The proposed ASEF spectrum-based method effectively quantifies PSD in polydisperse systems.
    • The study provides a robust framework for optimizing measurement parameters to enhance PSD inversion accuracy and efficiency.
    • This advancement offers significant potential for applications requiring precise particle size characterization.