- Tytuł:
- Separation of groups of free radicals from noised EPR spectrum using genetic algorithm and gradient method
- Autorzy:
-
Bernas, M.
Ramos, P. - Powiązania:
- https://bibliotekanauki.pl/articles/951652.pdf
- Data publikacji:
- 2013
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
signal filtering
genetic algorithms
spectra analysis
free radicals
EPR spectroscopy
function approximation
filtrowanie sygnału
algorytmy genetyczne
analiza widma
wolne rodniki
spektroskopia EPR
aproksymacja funkcji - Opis:
- 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.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2013, 22; 117-123
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł