Antibiotics have a negative effect on the microbiological processes of sour-milk production. In order to prevent the creation of dangerous products and antibiotic resistance to drugs, a simple and sensitive method for determining the concentration of antibiotics in milk before it hits store shelves is required. The priority in this area is to create a quick and affordable method for analyzing milk based on the electrochemical oxidation of chemical compounds. In our work, we propose a new methodology to detect trace concentrations of antibiotics in milk.

Мазгалина П.А., Николаев К.Г. (науч. рук. Скорб Е.В.) Prospects for using electrochemical analysis to determine residual antibiotic concentrations in milk using machine learning // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2021]. URL: https://kmu.itmo.ru/digests/article/6706