FINDING EXACT NUMBER OF PEAKS IN BROADBAND UV-VIS SPECTRA USING CURVE FITTING METHOD BASED ON EVOLUTIONARY COMPUTING

Year 2020, Volume: 7 Issue: 1, 117 - 124, 15.02.2020

Fatih Mehmet Avcu , Mustafa Karakaplan

https://doi.org/10.18596/jotcsa.583632

Cited By: 3

Abstract

High performance calculations are
needed in order to resolve analytic signals of the day. But it requires very
long periods of time to perform these calculations with single processor
systems. In order to reduce these calculation times, there is a need to turn to
parallel programming algorithms that share more than one processor. Recently,
solving complex problems with genetic algorithms has been widely used in
computational sciences. In this work, we show a new method of curve fitting via
genetic algorithm based on Gaussian functions, for deconvolution the
overlapping peaks and find the exact number of peaks in UV-VIS absorption
spectroscopy. UV-VIS spectra are different than other instrumental analysis
data. The resolution of UV-VIS spectra is a complicated because of that the
absorption bands are strongly overlapped. Useful information about molecular
structure and environment can often be obtained by resolving these peaks
properly. The algorithm was parallelized with the island model in which each
processor computes a different population. This method has been used for resolving
of the UV-VIS overlapping spectrum. The method particular algorithm is robust
by bad resolution or noise. The results show that it is satisfactory and
clearly show the effectiveness of the proposed method.

Keywords

UV-VIS spectroscopy, Data fitting, Genetic algorithm, Parallel computing

Supporting Institution

Inonu University Scientific Research Project Department

Project Number

FBA-2019- 1726

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