RUDN University chemist synthesized a coordination polymer iron with a derivative of nicotinic acid
Coordination polymers are compounds that consist of a metal atom and surrounding organic ligands. They are often more stable than pure organic substances. RUDN chemist Alexander Kirillov used a nicotinic acid derivative (H2cpna) as a building block in the synthesis, and iron atoms played the role of the metal center. Substituted nicotinic acid can act as a ligand — it contains one phenyl and one pyridine ring, which are linked by an ether functional group.
To synthesize the polymer, the reaction was performed under hydrothermal conditions between iron (II) sulfate in water and H2cpna at 160 ⁰C. The synthesis lasted three days. X-ray diffraction analysis and other methods were used to confirm the structure and characteristics of the obtained substance.
The catalytic activity of the substance for different reactions was studied. Alexander Kirillov from RUDN conducted the processes of oxidation and carboxylation of propane and cyclic alkanes (saturated hydrocarbons closed in a cycle) under mild conditions. The reaction yield was 23%. For comparison, in the industrial process of oxidation of cyclohexane to cyclohexanol and cyclohexanone (products that are used in the production of plastics), the yield is only 5-10%.
The study of the catalytic activity of the polymer obtained by RUDN chemists showed that it can be used to catalyze the processes of oxidative functionalization of saturated hydrocarbons, and provide a greater yield for the reaction under mild conditions.
Article in Crystals magazine.
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).
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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.