Project acronym: MiMoSenSa
Project type: Science Fund of the Republic of Serbia– program PROMIS 2023
Project No: 11077
Duration: 03.01.2024 – 31.12.2025.
Repository for research results: https://cer.ihtm.bg.ac.rs/handle/123456789/7667
Participating Scientific and Research Organizations (SROs) and their acronyms
Institute of Chemistry, Technology and Metallurgy; University of Belgrade (ICTM) – coordination
Faculty of Chemistry; University of Belgrade (UBFC)
Vinča Institute of Nuclear Sciences; University of Belgrade (VINS)
Principal Investigator (PI): PhD Vesna Stanković, senior research associate (ICTM)
Team members: PhD Filip Vlahović (ICTM), PhD Nataša Terzić Jovanović (ICTM), PhD Miloš Ognjanović (VINS), PhD Slađana Đurđić (UBFC), Pavle Stojković (UBFC)
Short description of the project: Food contaminants such as pesticides, environmental pollutants, veterinary drugs, natural toxins and pathogens pose a significant risk to human health – even when present in food in small amounts. According to the World Health Organization, more than 600,000 people fall ill every year due to the consumption of contaminated food, of which 420,000 cases end in death. The problem of food safety is very pronounced in developing countries, such as Serbia, where food safety regulations have yet to be harmonized with practice. The proposed project aims to develop portable, economical and easy-to-use electrochemical sensors for the detection of some of the widespread chemical food contaminants (pesticides, veterinary drugs, mycotoxins) in order to assess the safety of food reaching consumers. The MiMoSenSa project brings an innovative electrochemical approach to food safety control, using carefully designed sensors obtained by integrating MIP (molecularly imprinted polymers) and MOF (metal organic framework) materials. By using the excellent recognition ability of MIP materials with multifunctional MOF properties, it will be possible to obtain sensors with improved analytical characteristics in terms of high selectivity and excellent sensitivity. Thanks to the construction of the sensor itself, it will be possible to use it in real food samples, in complicated matrices, for the determination of contaminants of interest (glyphosate, aflatoxin B1, sulfamethoxazole).