New breakthrough: RUDN University ecologists patented a method for producing biofuel
The 21st century is facing serious environmental problems: natural resources are being depleted, greenhouse gas emissions are increasing, and large amounts of wastewater are being generated that are poorly treated. These problems are exacerbated by dwindling fossil fuel supplies, clean water, and inadequate sanitation. Therefore, waste management facilities use wastewater as a potential source for energy generation, nutrient recovery and then reuse the treated wastewater for agricultural/domestic purposes. Among these enterprises, biological mitigation of the negative impacts of wastewater using microalgae is considered as an energy-efficient and cost-effective alternative. It provides the means to subsequently convert valuable biomass into biofuels.
The method for producing biofuel involves preliminary mixing of microalgae biomass with water. Hydrothermal liquefaction produces a microbiological suspension in one reactor block heated to 600°C at a pressure of
“The resulting algae biomass can be converted into biodiesel, biogas and bioethanol. Such an integrated approach could potentially provide solutions not only for effectively reducing wastewater emissions and CO2 emissions, but also for generating additional income through the use of microalgae biomass for biofuel production,” Anna Kurbatova, Associate Professor at the Institute of Ecology, Candidate of Environmental Sciences.
For reference:
Patent for invention No. 2794959 “Method for producing biofuels”.
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.