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Related Concept Videos

Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
Atomic Absorption Spectroscopy: Lab01:21

Atomic Absorption Spectroscopy: Lab

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.
 Solutions containing organic solvents, such as low-molecular-mass alcohols, esters, or ketones, enhance absorbances by increasing nebulizer...
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

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

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 refractory oxide ion...
Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

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...
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...

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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

Uncertainty estimation in organic elemental analysis using information from proficiency tests.

R Companyó1, R Rubio, A Sahuquillo

  • 1Departament de Química Analítica, Universitat de Barcelona, Martí i Franquès 1-11, 08028, Barcelona, Spain. compano@ub.edu

Analytical and Bioanalytical Chemistry
|October 15, 2008
PubMed
Summary
This summary is machine-generated.

This study quantifies the uncertainty in organic elemental analysis (C, H, N, S) across 35 Spanish labs using proficiency test data. Individual lab uncertainties align with technique uncertainty and correlate with performance scores.

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Determination of Inorganic Arsenic in a Wide Range of Food Matrices using Hydride Generation - Atomic Absorption Spectrometry.
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Determination of Inorganic Arsenic in a Wide Range of Food Matrices using Hydride Generation - Atomic Absorption Spectrometry.

Published on: September 1, 2017

Area of Science:

  • Analytical Chemistry
  • Environmental Chemistry
  • Laboratory Science

Background:

  • Organic elemental analysis (OEA) is crucial for characterizing organic matter.
  • Accurate uncertainty estimation in OEA is vital for reliable laboratory results.
  • Proficiency testing (PT) provides a framework for inter-laboratory comparisons and quality assessment.

Purpose of the Study:

  • To evaluate the uncertainty associated with organic elemental analysis (C, H, N, S).
  • To assess within-laboratory and between-laboratory variances in OEA.
  • To compare individual laboratory performance against overall technique uncertainty.

Main Methods:

  • Utilized data from six proficiency tests involving 35 Spanish laboratories.
  • Estimated technique uncertainty using relative variances from pure substances and complex matrices (soil, milk, oil, ash, petroleum coke).
  • Calculated individual laboratory uncertainties from historical PT data for pure substances.

Main Results:

  • Individual laboratory uncertainties were found to be comparable to the overall technique uncertainty.
  • A correlation was observed between individual laboratory uncertainties and combined z-scores.
  • The study assessed the longitudinal performance evolution of participating laboratories.

Conclusions:

  • Proficiency testing data effectively characterizes OEA uncertainty.
  • Individual laboratory performance in OEA is quantifiable and comparable to established technique uncertainties.
  • The findings support robust quality assurance in elemental analysis for diverse sample types.