Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Improved data-processing method for atomic absorption spectroscopy with electrothermal atomization

C Hsiech1, H L Pardue

  • 1Department of Chemistry, Purdue University, West Lafayette, Indiana 47907-1393.

Analytical Chemistry
|July 15, 1993
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Simple analog system for simultaneous kinetic analysis.

Analytical chemistry·2012
Same author

Swept electron beam rapid scan spectrophotometer. Qualitative aspects.

Analytical chemistry·2012
Same author

Advantages of an off-Littrow mounting of an echelle grating.

Applied optics·2010
Same author

Improved ruggedness for membrane-based amperometric sensors using a pulsed amperometric method.

Analytical chemistry·1997
Same author

The inseparable triad: analytical sensitivity, measurement uncertainty, and quantitative resolution.

Clinical chemistry·1997
Same author

Measurement/data-processing method to improve the ruggedness of membrane-based sensors: Application to amperometric oxygen sensor.

Talanta·1996
Same journal

Heterojunction Gate-Empowered OPECT Aptasensing: A Valid Protocol for Realizing High Current Gain at Low Electron Donor Dependency.

Analytical chemistry·2026
Same journal

Development of a Tapping-Mode Scanning Probe Electrospray Ionization Platform for High-Sensitivity and Long-Term Stability in Single-Cell Mass Spectrometry Imaging of Tissue.

Analytical chemistry·2026
Same journal

A Solid-State Near-Infrared Fluorescent Probe by a Synergistic Extended Conjugated System for Detecting Cys with Long-Term Imaging in Orthotopic Bladder Cancer.

Analytical chemistry·2026
Same journal

Air-Based Porous Array Dielectric Barrier Discharge Ionization Source for Explosive Trace Detection.

Analytical chemistry·2026
Same journal

PSAQ<sup>+1</sup>: Absolute Protein Quantification Using a <sup>13</sup>C<sub>1</sub>-Labeled Protein Standard, Coisolation of Peptide Pairs and LC-PRM.

Analytical chemistry·2026
Same journal

Heterojunction-Enhanced Interfacial Evanescent-Tunable Fiber Optic Probe for Amplification-free CRISPR/Cas12a-Based Rapid and Ultrasensitive Detection of MPXV.

Analytical chemistry·2026
See all related articles

A novel method for atomic absorption spectroscopy integrates transient signals and uses a pseudo-first-order model. This approach minimizes temperature effects, offering a more stable and accurate analysis for various elements.

Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Electrothermal Atomization

Background:

  • Atomic absorption spectroscopy (AAS) relies on analyzing transient signals from electrothermal atomizers.
  • Traditional methods for processing these signals can be sensitive to variations in atomization temperature, affecting accuracy.
  • Developing robust methods to mitigate temperature-dependent errors is crucial for reliable elemental analysis.

Purpose of the Study:

  • To introduce and validate a new approach for processing transient data in electrothermal atomization atomic absorption spectroscopy.
  • To demonstrate the ability of the new method to reduce temperature-dependent variability in analytical results.
  • To compare the performance of the new predictive approach against traditional peak-height and peak-area methods.

Main Methods:

Related Experiment Videos

  • Transient responses from electrothermal atomizers were integrated.
  • A pseudo-first-order model was fitted to the time-dependent integrals.
  • This predictive model estimates the complete atomization process response.

Main Results:

  • The new predictive approach showed virtual independence from atomization temperature (2200-2600 °C) for Cr, Mn, K, Yb, and Fe.
  • Temperature coefficients for the predictive method were significantly lower than peak-height and peak-area methods for all elements.
  • Improvement ratios for volatile elements (Mn, K, Yb, Fe) ranged from 1.4 to 8.2 at 2400 °C.
  • For chromium, the predictive method's temperature coefficient was 10- and 30-fold lower than peak-area and peak-height, respectively.

Conclusions:

  • The developed predictive approach offers enhanced stability and reduced temperature dependency in electrothermal atomization AAS.
  • This method provides more reliable quantitative analysis, particularly for volatile elements, by minimizing a key experimental variable.
  • The new technique represents a significant improvement over conventional peak-height and peak-area signal processing in AAS.