A chemist from RUDN developed a green catalyst for pharmaceutical and industrial chemistr
Cross-coupling is a type of reaction that involves combining carbon atoms from different organic molecules. Cross-coupling reactions are most widely spread ones in industrial chemistry. They are used to synthesize plastics, medicinal drugs, and other compounds and account for 17% of all reactions in medical chemistry only. The main component of cross-coupling is palladium nanoparticles. Palladium is one of the rarest elements on Earth, which makes it a very expensive catalyst. Moreover, it is mainly produced at mining facilities that pose a considerable threat to the environment. A chemist from RUDN University suggested solving all these issues with one new approach.
The consumption of palladium in cross-coupling reactions increases because the particles of palladium-containing catalysts tend to bind together. There are two ways to stop this. One could modify the chemical properties of the particles to weaken the reaction between their surfaces when they come in contact. Alternatively, the metal could be held in place physically with a framework or a grid. The chemist from RUDN University chose the second method and locked metal particles in their respective places using a multilayer shell with a magnetic core.
The core of the new nanocatalyst consists of iron oxide with high magnetic properties. The coating is made of a catechol-based polymer. Catechol is a substance that is found in plant cell walls and is produced from plant waste. Both these layers are ancillary and have no catalytic activity. The catalytic properties of the compound come from palladium nanoparticles that are incorporated into the second layer. The polymer fixes the particles in place and prevents them from binding together.
The new catalyst structure requires twice as little palladium as the old one: 1.5% of the total nanoparticle weight as opposed to 3-6%. Moreover, after a couple of production cycles, the core of the nanocomposite material can be cleaned up and reused. This method is not only good for the environment but also economically feasible, as it will make the production of medicinal drugs, plastics, and other products cheaper.
“Today chemists are especially interested in green catalysts. Our nanocatalysts contain a product of plant waste recycling and at the same time efficiently work in cross-coupling reactions. Therefore, not only are they able to reduce palladium consumption and make the production process cheaper, but also are beneficial for the environment. Moreover, we managed to showcase the universal nature of polymers based on plant catechols. The same approach can be used when working with other metals including platinum, silver, or gold, or with catalysts of other organic reactions,” said Rafael Luque, PhD, Head of the Molecular Design and Synthesis of Innovative Compounds for Medicine Science Center at RUDN University.
The results of the study were published in the journal Molecular Catalysis.
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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.
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