RUDN University Chemist Creates Nanofilter to Clean Water from Toxic Dyes
Synthetic dyes are used in industrial chemistry and pharmaceuticals. They reach the wastewater together with other industrial waste and pollute the environment. Existing methods of water purification are not quite practical, as the proposed adsorbents are usually disposable and work slowly. Therefore, chemists continue to look for effective and eco-friendly solutions to this problem. A RUDN University chemist, together with colleagues from India and Korea, has proposed a reusable graphene-based nanocomposite that can quickly absorb dyes from water.
“Throughout the world, the discharging of excess organic dyes from different industries such as leather, cosmetics, textiles, paper etc. have the serious water polluted resources and caused a great damage to human health and aquatic system. These different organic dyes are non-degradable, and create carcinogenic, breathing, vomiting, eye burns, diarrhea and nausea in human beings. Graphene oxide have attracted great attention because of their broad spectrum of applications in the various fields including removal of different types of pollutants from water,” said Vinod Kumar, RUDN University professor.
Chemists have created an adsorbent made of graphene oxide (GO) and manganese oxide (MnO2). Nanocomposite synthesis is fast and environmentally friendly. It goes in one step, in an aqueous solution, at 120 ° C. The structure and chemical properties of the adsorbent were studied by scanning electron microscopy and spectroscopy. To test its effectiveness, scientists dissolved methyl orange and methylene blue in water. The first one is the cationic dye, the second one is anionic. 50 mg of adsorbent was placed in 50 ml of a solution with an initial contaminant concentration of 150 mg per liter. For five hours, chemists measured the level of water contamination.
The adsorbent successfully removed 50.48% of methyl orange and 85.35% of methylene blue after just five minutes of action. After an hour, there were practically no pollutants left in the water — the complex absorbed 94-100% of the dyes. One gram of adsorbent was able to hold 149 mg of methyl orange and 178 mg of methylene blue. The complex also turned out to be reusable. The efficiency of removing pollutants did not fall below 90% even after 7 cycles of use.
“From these results, it can be assumed that the synthesized adsorbent can be used to purify the water by filtration. By considering the low cost and higher adsorption potential, GO-MnO2 nanocomposite will be becoming a promising candidate for simultaneous removal of cationic and anionic dyes from polluted water for water purification.,” said Vinod Kumar, RUDN University professor.
The results are published in the Journal of Environmental Chemical Engineering.
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.
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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.