Simplicity and Efficiency: RUDN University Chemists Discover New Unique Approach to Creating Smart Packaging
The history of production of polymer coatings with protection properties is not new. However, the methods are being improved, thereby enhancing fundamental science. RUDN University chemists developed nanoparticles where the following four properties are combined not separately but altogether: the first one is traditional – barrier property, and the rest are so called active properties: antioxidant, antimicrobial properties and the ones which protect the product against ultraviolet exposure.
The basis for polymer coatings is bilayer. The unique combination and proportions of polymer components make it possible to obtain films with the following properties:
- low permeability to water vapour and oxygen,
- enhanced mechanic properties: high-tensile strength,
- active properties, i.e. apparent antibacterial and fungicidal effects.
Traditional packaging has only barrier properties. It includes the packaging we are used to seeing every day: plastic, vacuum one. Imagine that you buy a carton of milk or a pack of sausages – they will be in so called traditional packaging.
If the packaging has antibacterial properties, protects against ultraviolet exposure, or has any other properties – it is called active. A whole range of chemical “introductions” are carried out to make each of its variations. For example, it makes sense to introduce antioxidants into the packaging if it has antibacterial properties.
The packaging is not only barrier and active but also smart. This means that it can respond to changes in the environment, for example, to the increase in humidity and temperature which is not acceptable for the film-wrapped product. The wrapping will change colour in such cases.
The discovered method for combining has many useful properties altogether: antibacterial, antioxidant, and antimicrobial, as well as smart properties. The same nanoparticles are responsible for all these properties. It is the method that is unique. Moreover, the obtained films are biocompatible, biodegradable. They are absolutely non-toxic. Such films are in line with the global trend of going green – this is real green chemistry, i.e. which is environmentally friendly.
The method is environmentally friendly, safe, simple and cost-efficient. It is the first time the most important useful properties for extending the shelf life of products have been combined. The invented compound can be used as the film in which the product will be wrapped: this will not involve its quality changes. Moreover, the immersion method seems promising: as the material is completely safe, the products can be immersed into it, thereby creating a protective film.
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.