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.
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.