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Wyszukujesz frazę "Yilancioglu, K." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Nitrogen source, an important determinant of fatty acid accumulation and profile in Scenedesmus obliquus
Autorzy:
Yilancioğlu, K.
Tekın, H.
Cetıner, S.
Powiązania:
https://bibliotekanauki.pl/articles/1070208.pdf
Data publikacji:
2016-07
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
88.20.fk
87.14.Cc
Opis:
The potential of algae-based fuel technologies for manufacturing renewable biofuels has been attracting interest from the scientific community. Biomass productivity and cellular lipid content are important parameters affecting the feasibility of using algae oil for biodiesel production. This study compares utilization of NaNO₃, NH₄Cl and urea as different nitrogen sources in terms of their effects on biomass productivity, fatty acid profile and accumulation in Scenedesmus obliquus. Cellular lipid accumulation was analyzed by gravimetric, fluorometric, and flow-cytometric methods, besides collecting spectrophotometric data for biomass productivity analysis. In addition, fatty acid profiles were compared by using gas chromatography-mass spectrometry. The alga can utilize all tested nitrogen sources successfully however growth rates demonstrate differences. Gravimetric lipid content analysis showed approximately a ≈1.5-fold increase in total lipid accumulation under NH₄Cl regime when compared to that of NaNO₃ and a ≈ 2-fold increase when compared to that of urea at the end of ten days cultivation course. Fatty acid profiles under different nitrogen regimes present variations especially under NH₄Cl regime. Moreover, all lipid extracts mostly consist of saturated, straight- and branched-chain hydrocarbons of different chain lengths ranging from C16-C20 which grant a suitable profile for biodiesel production. Scenedesmus obliquus is a suitable species for biodiesel production. The results obtained from this study provide a better understanding of cultivation characteristics of this important species and support potential, future biodiesel production.
Źródło:
Acta Physica Polonica A; 2016, 130, 1; 428-433
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Artificial Neural Network-Based Estimation of Bremsstarahlung Photon Flux Calculated by MCNPX
Autorzy:
Tekin, H.
Manici, T.
Altunsoy, E.
Yilancioglu, K.
Yilmaz, B.
Powiązania:
https://bibliotekanauki.pl/articles/1031593.pdf
Data publikacji:
2017-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
07.05.Mh
23.20.Nx
87.10.R
Opis:
Bremsstrahlung has an important place in the field of experimental physics, especially for description of photon-matter interaction and for characterization and analysis of materials. Bremsstrahlung photon is created by a high-energy electron, deflected in the electric field of atomic nucleus. Bremsstrahlung is also important for experimental studies, not only in the field of nuclear physics and particle physics but also in the fields of solid state physics, applied physics and astrophysics. In recent years, Monte Carlo simulation has become a widely used method for calculations related to bremsstrahlung. On the other hand, predictions by using artificial neural network can be performed with high accuracy. This study aims at observing variation in the photon flux as unction of target thickness and at processing output data by using an artificial neural network. We achieved a high degree of compatibility between two different methods. This study suggests that artificial neural network is a powerful tool for prediction of Bremsstrahlung and for other scientific problems.
Źródło:
Acta Physica Polonica A; 2017, 132, 3; 967-969
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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