The method of spectral identification of hips and vitamin collection
The invention relates to the chemical and pharmaceutical industry and to a method for the identification of medicinal plant substances - rose hips and vitamin collection № 1 by analyzing the spectral characteristics of alcohol extraction. The method of identification of hips and vitamin collection № 1 includes obtaining alcoholic extract using ethanol with a concentration of 95%, an aliquot of 5-8 ml is placed in a 25 ml volumetric flask, add 5-8 ml of acetic acid 30%, 8 ml of alcohol 2% solution of aluminum chloride, bring 95% ethanol to the mark (pH of the solution 1.6 ± 0.4) and remove the spectrum against the background of a reference solution consisting of 5-8 ml of alcohol extraction and 8 ml of acetic acid 30% brought to the mark 95% ethanol; at the same time, three absorption maxima are simultaneously detected on the absorption spectrum, corresponding to: phenol carboxylic acids at 311 nm for vitamin collection № 1 and 323 nm for rose hips; flavonoids at 411 nm for vitamin collection № 1 and 404 nm for rose hips; anthocyanins at 540 nm for vitamin collection № 1 and 526 nm for rosehips.
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.