RUDN scientists developed biocompatible nanothermometers without the use of rare earth elements
The new biomaterial will enable precise temperature monitoring during surgeries, diagnose inflammatory processes and be used in the development of other smart biomaterials.
“A new class of MOF-materials was synthesized based on zinc ions (biocompatible metal), organic ligand H鈧凾BAPy using innovative topological design (2D and 3D structures). The synthesized porous crystal structures have a record sensitivity of up to 2.12% K-¹, a wide temperature range of
7-300 K (-266 °C to +27 °C), and full biocompatibility. The possibility of real-time visualization and tracking is also incorporated,” — Alexander Novikov, researcher at RUDN Joint Institute for Chemical Research.
The advantage of the developed highly sensitive nanothermometers over analogs is as follows:
- Do not contain rare earth elements.
- Possess an optimal porous structure due to the topological design.
- Both 2D and 3D configurations can be created.
“To test the efficacy of MOF nanoparticles, we injected them intracardiacally and through the digestive system into transparent Casper fish. The experiment demonstrated 100% survival rate of the organism after the introduction of the substance, which indicates the absence of toxicity and is confirmed by MTT tests and immunohistochemistry. Also, the drug allowed us to accurately measure the temperature of internal organs — the color of luminescence changed from green to blue when cooling from 30 to 0 °C, which allowed us to monitor the temperature of organs in vivo,” — Alexander Novikov, researcher at RUDN Joint Institute for Chemical Research.
The results are in Advanced Functional magazine.
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鈥攖o 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 鈥淐omputer Science and Control鈥� 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 鈥淭opical Issues of Morphogenesis in Norm and Pathology.鈥� 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鈥攖o 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 鈥淐omputer Science and Control鈥� 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 鈥淭opical Issues of Morphogenesis in Norm and Pathology.鈥� She was awarded the Academician A.P. Avtsyn Prize.