Separation of groups of free radicals from noised EPR spectrum using genetic algorithm and gradient method

• Autorzy: Bernas M. , Ramos P.
• Języki publikacji: EN

Abstrakty

EN

Different groups of free radicals exist in biological material like animal tissues or plants parts. The processes like heating or cooling creates additional types of free radicals groups in this organic matter, due to changes in chemical bonds. The paper proposes a method to determine types and concentrations of different groups of free radicals in the matter processed in various temperatures. The method extracts the spectrum of free radicals using electron paramagnetic resonance with the microwave power of 2.2 mW. Then an automatic method to find a best possible fit using limited number of theoretical mathematical functions is proposed. The match is found using spectrum filtration, and a genetic algorithm implementation supported by a Gradient Method. The obtained results were compared against the samples prepared by an expert. Finally, some remarks were given and new possibilities for future research were proposed.

Słowa kluczowe

EN

signal filtering; genetic algorithms; spectra analysis; free radicals; EPR spectroscopy; function approximation

PL

filtrowanie sygnału; algorytmy genetyczne; analiza widma; wolne rodniki; spektroskopia EPR; aproksymacja funkcji

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2013
• Tom: Vol. 22
• Strony: 117--123
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr.

Twórcy

autor

Bernas M.

• Institute of Informatics, University of Silesia, Bedzinska 39, 41-200 Sosnowiec, Poland

autor

Ramos P.

• Department of Biophysics, Medical University of Silesia in Katowice, Jednosci 8, 41-200 Sosnowiec, Poland

Bibliografia

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