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Computer-assisted spectrophotometry: multicomponent analysis with a discrete fourier transform
M A Korany1, M A Elsayed, M M Bedair
1Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, University of Alexandria, Egypt.
Talanta
|December 1, 1990
Summary
This study presents a computer-assisted method for analyzing multicomponent mixtures using absorbance and Fourier transform coefficients. The developed program efficiently processes spectral data for accurate chemical analysis.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Computational Chemistry
Background:
- Multicomponent mixtures present analytical challenges due to overlapping spectral signals.
- Accurate quantification requires sophisticated data processing techniques.
Purpose of the Study:
- To develop a computer-assisted method for the analysis of multicomponent mixtures.
- To integrate conventional absorbance data with discrete Fourier transform coefficients for enhanced analysis.
Main Methods:
- The method utilizes a computer program to store absorbance data (A vs. lambda).
- Data processing involves convolution with combined trigonometric functions (discrete Fourier transform coefficients).
- Least-squares analysis is applied to solve simultaneous linear equations for component quantification.
Main Results:
- The computer program successfully stores and processes spectral data.
- The method enables the analysis of complex mixtures by combining absorbance and Fourier transform data.
- Results can be displayed on screen, printer, or plotter for user convenience.
Conclusions:
- The presented computer-assisted method offers an effective approach for multicomponent mixture analysis.
- Integration of absorbance and Fourier transform coefficients improves analytical accuracy.
- The software provides a versatile tool for spectral data processing and interpretation.
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