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Related Concept Videos

Atomic Absorption Spectroscopy: Lab01:21

Atomic Absorption Spectroscopy: Lab

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For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
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Atomic Absorption Spectroscopy: Interference01:25

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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.
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Quantitative Analysis01:12

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Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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TEM-EDS microanalysis: Comparison among the standardless, Cliff & Lorimer and absorption correction quantification

Roberto Conconi1, Gennaro Ventruti2, Fernando Nieto3

  • 1Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 4, Milano 20126, Italy.

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Summary
This summary is machine-generated.

The absorption correction method (ACM) offers superior quantification in transmission electron microscopy compared to standardless (SLM) and Cliff-Lorimer methods, especially for significant mass-thickness. Accurate results require distinct k-factors for different mineral types.

Keywords:
Absorption correctionEnergy dispersive spectroscopyTransmission electron microscopyX-ray microanalysis

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Geology

Background:

  • Energy dispersive X-ray microanalysis (EDS) in transmission electron microscopy (TEM) relies on quantification methods to determine elemental composition.
  • Standardless method (SLM), Cliff-Lorimer approximation (CLA), and absorption correction method (ACM) are commonly used but vary in accuracy.

Purpose of the Study:

  • To compare the performance of SLM, CLA, and ACM for EDS quantification in TEM.
  • To identify the conditions under which each method provides the most accurate results.
  • To provide guidance on selecting appropriate quantification strategies for mineral analysis.

Main Methods:

  • Comparative analysis of quantification methods: SLM, CLA, and ACM.
  • Evaluation of method performance based on mass-thickness and mineral properties.
  • Investigation of the impact of k-factor determination on quantification accuracy.

Main Results:

  • CLA and ACM generally outperform SLM.
  • CLA and ACM show similar performance when absorption is negligible.
  • ACM provides superior accuracy when mass-thickness exceeds approximately 22 × 10-6 g/cm2.
  • Distinct kO/Si factors for light (<2.90 g/cm3) and heavy (>2.90 g/cm3) minerals improve ACM accuracy.
  • Element diffusion and channelling effects can complicate quantification in anisotropic minerals like phyllosilicates.

Conclusions:

  • ACM is recommended for EDS quantification in TEM when absorption effects are significant.
  • Accurate quantification necessitates careful selection and determination of k-factors, ideally specific to mineral classes.
  • Further research may be needed to address quantification challenges in complex mineral structures.