RUDN University Chemist Creates a Catalyst to Remove Paracetamol from Wastewater
The widespread use of medicinal and hygiene products has become one of the main factors of wastewater pollution. Imperceptible ‘treatment’ with drugs that can enter the human body from insufficiently treated water, pose a serious threat to both human health and the environment. For wastewater treatment, the method of biodegradation is usually used, when the main work is performed by microorganisms. The second option is adsorption, that is, the absorption of harmful substances by filters-adsorbents. But in this case, it is necessary to solve the issue of recycling filters. Ozone oxidation and some other oxidation methods are also used, but they are expensive and require special equipment.
However, many harmful substances are not biodegradable. One of these substances is acetaminophen, better known to consumers as paracetamol or panadol. This is the most common antipyretic and painkiller in the world, which is sold without a prescription in many countries. About 58-68 percent of the paracetamol in the body is released through the kidneys with urine and enters the city sewer system. In European countries, scientists estimate that the concentration of acetaminophen in wastewater that has already been treated can reach 6 micrograms per liter, and in the United States – 10 micrograms per liter. Therefore, the search for effective and affordable ways to remove this substance from wastewater is an urgent task.
RUDN University chemist Raphael Luque and his colleagues created a series of catalysts for photo-oxidation of acetaminophen in an aqueous medium. The catalyst particles were nanospheres of a composite of zinc oxide and silver sulfide, coated on the outside with a layer of graphene oxide – a layer of carbon one atom thick.
Chemists have found that when the catalyst is irradiated in an aqueous medium with visible light, a short-lived and non-toxic superoxide radical is formed from oxygen dissolved in water. It also oxidizes acetaminophen to water, carbon dioxide and nitrogen, which are harmless to the environment. The sample with a 10% molar silver content had the highest activity.
For comparison, researchers under the same experimental conditions tested the catalytic activity of titanium dioxide and zinc oxide nanospheres coated with graphene oxide. They provided photo-oxidation of acetaminophen by 35 percent for titanium dioxide and 47 percent for zinc oxide in 60 minutes. The new catalysts containing silver sulfide were superior in activity. In 60 minutes, 100 percent of the acetaminophen disappeared from the solution.
The work is published in the Separation and Purification Technology.

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.