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Information × Registration Number 0226U001053, (0125U002033) , R & D reports Title Development of new biosensors for rapid detection of pollutants in water using artificial intelligence methods popup.stage_title Розробка моделі лакказного біосенсора. Розробка AI-складової веб-додатку для аналізу даних від біосенсорів. Head Hoivanovych Nataliia K., Кандидат біологічних наук Registration Date 20-01-2026 Organization Drohobych Ivan Franko State Pedagogical University popup.description1 The goal of the project is to develop new prototypes of controlled highly sensitive amperometric biosensors based on laccase and polymer composites as holding matrixes of enzyme for the rapid determination of phenolic xenobiotics in water, with a created web application and data processing using artificial intelligence methods. popup.description2 Polymer composites based on Nafion, ureasil polymers containing sulfur, and photopolymers based on vegetable oils were selected and hybrid (gold-platinum) metal nanoparticles were synthesized for the construction of a biosensor; their structural and morphological characteristics and biocompatibility with laccase were studied. The operating parameters of the obtained bioelectrodes were studied and the designed bionanosensors were tested for the analysis of xenobiotics of phenolic nature in real samples – oil, petroleum feedstock (whey) and river water, where oil product effluents can potentially enter. A representative data set was formed for training and testing machine learning models. Product Description popup.authors Svitlana Y. Voloshanska Yuliia Y. Kukhazh Taras S. Kavetskyy Olha Demkiv Andrii V. Tuzhykov popup.nrat_date 2026-01-20 Close