RUDN University Chemists obtained coenzyme from Parsley and Dill seeds
Coenzymes of the Q group in mammals and plants are responsible for maintaining the energy metabolism of cells. They are powerful antioxidants and regulate the permeability ofmitochondrial membranes. Coenzyme Q0 is known to reduce and even suppress metastasis in breast, skin and ovarian cancers.
“We proposed a simple way to obtain the necessary element for the synthesis of Q0 precursors based on allylpolymethoxybenzenes. It is easy to isolate them in large quantities from parsley and dill extract,” says RUDN scientist Viktor Khrustalev.
The main stage on the way of obtaining a coenzyme is hydrogenation to allylpolymethoxybenzenes fragments. This process takes place in a special apparatus with a fluoroplastic insert using aporous palladium catalyst. After use, the reaction mixture is separated from the catalyst without additional filters.
The minimum reaction time is 4 to 8 hours. However, with an increased hydrogen pressure,the reaction takes 2-4 hours. Even with accelerated production, no methylbenzene by-products remain after hydrogenation, which simplifies further purification. The catalyst canthen be used up to 40 times.
"With the help of X-ray diffraction analysis, we have confirmed the spatial structure of there sulting compound. This allows further study of its antitumor and antioxidant properties,"explained Viktor Khrustalev, Doctor of Chemistry, Head of the Department of Inorganic Chemistry of the Peoples’ Friendship University of Russia.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
What is your first association with the word “laboratory”? Flasks and beakers? Microscopes and centrifuges? Yes, many of us would answer the same way.
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.