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.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.