[Digital signal acquisition and processing software for atomic fluorescence spectrometry and its application to...

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Environmental Science

Background:

• Atomic fluorescence spectrometry (AFS) requires robust data acquisition, especially when coupled with separation techniques.
• Digital signal processing is crucial for managing noisy data in sensitive analytical methods.

Purpose of the Study:

• To develop a Visual C++ software for collecting and processing digital signals in AFS.
• To address data acquisition challenges when coupling AFS with High-Performance Liquid Chromatography (HPLC) and other separation methods.
• To evaluate signal processing techniques for improving data quality in AFS.

Main Methods:

• Development of a Visual C++ program for AFS data acquisition and processing.
• Implementation and comparison of Savitzky-Golay smoothing, Fourier filtering, and wavelet denoising techniques.
• Application of the software to cadmium (Cd) speciation analysis using cation exchange HPLC coupled to AFS.

Main Results:

• The developed software successfully collects and processes digital signals for AFS.
• Savitzky-Golay smoothing, Fourier filtering, and wavelet denoising were effectively applied to reduce noise in AFS data.
• The program facilitated a preliminary study of Cd speciation, demonstrating its practical utility.

Conclusions:

• The Visual C++ program provides a viable solution for data acquisition in AFS, particularly when coupled with separation techniques.
• The implemented signal processing methods effectively enhance data quality for elemental speciation analysis.
• This advancement offers new possibilities for extending AFS applications in elemental speciation analysis.