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On-line computer aided multi-component analysis using organic elemental analyzer

Qian1

  • 1Department of Chemistry, Suzhou University, People's Republic of China. x7d771@kwansei.ac.jp

Computers & Chemistry
|August 31, 2000
PubMed
Summary
This summary is machine-generated.

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A new computer program enables organic elemental analyzers to perform both standard and multi-component analysis automatically. This reliable method shows high accuracy for analyzing mixtures and synthetic copolymers.

Area of Science:

  • Analytical Chemistry
  • Organic Chemistry
  • Computational Chemistry

Background:

  • Organic elemental analysis (EA) is crucial for determining sample composition.
  • Current methods may require separate analyses for multi-component mixtures.
  • Automating multi-component analysis can improve efficiency and accuracy.

Purpose of the Study:

  • To develop and validate a computer program for on-line multi-component analysis using an organic elemental analyzer.
  • To enable automated normal elemental analysis (EA) and multi-component analysis.
  • To assess the program's reliability and accuracy compared to established methods.

Main Methods:

  • A novel computer program was developed to control an organic elemental analyzer.
  • The program was tested on eight mixtures of standard samples and nine synthetic copolymers.

Related Experiment Videos

  • Results were compared against ultraviolet-visible derivative spectroscopic (DS) analysis for styrene-N,N'-diisopropylacrylamide copolymers.

    • Main Results:

    • The program achieved deviations of less than 2% for two- and three-component standard samples.
    • The average deviation between the proposed program and the DS method for synthetic copolymers was 1.96%.
    • The developed program demonstrated high reliability and accuracy in multi-component analysis.

    Conclusions:

    • The proposed computer program is effective for on-line multi-component analysis with combustion-GC type organic elemental analyzers.
    • The automation of multi-component analysis enhances analytical efficiency and precision.
    • This approach offers a reliable alternative for complex sample characterization.