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Dimeric spectra analysis in Microsoft Excel: a comparative study
A Ghanadzadeh Gilani1, M Moghadam, M S Zakerhamidi
1Department of Chemistry, Faculty of Science, University of Guilan, Rasht 41335, Iran. aggilani@guilan.ac.ir
Computer Methods and Programs in Biomedicine
|March 15, 2011
Summary
This study introduces Decom, an Excel Add-in for analyzing dimeric spectra using linear and nonlinear decomposition algorithms. Decom offers a user-friendly solution for spectral analysis, with results comparable to existing methods like Datan.
Area of Science:
- Spectroscopy
- Computational Chemistry
- Data Analysis
Background:
- Dimeric spectra analysis requires specialized algorithms.
- Existing methods may lack user-friendliness or comprehensive processing capabilities.
Purpose of the Study:
- To introduce Decom, a novel Excel Add-in for dimeric spectra analysis.
- To provide a user-friendly implementation of general linear and nonlinear decomposition algorithms.
Main Methods:
- Integration of linear and nonlinear decomposition algorithms into an Excel Add-in.
- Development of Decom for comprehensive processing of dimeric spectra.
- Comparative analysis of Decom against the Datan software.
Main Results:
- Decom successfully implements advanced decomposition algorithms within Excel.
- The Add-in facilitates easy installation and usage for spectral analysis.
- Results from Decom show comparability with established methods like Datan.
Conclusions:
- Decom offers an accessible and effective tool for dimeric spectra analysis.
- The Excel Add-in format enhances usability for researchers.
- The implementation validates the efficacy of integrated decomposition algorithms.
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