FUNCTIONALIZED 10,12-PENTACOSADIINOIC ACID (PCDA)-BASED NANOSTRUCTURES FOR DETECTION OF ANTIPARASITICS IN MILK

   Milk production plays an essential role in the global economy, with milk being one of the main sources of nutrients for the population. However, to ensure the health of the animals and the productivity of the herds, it is common to use antiparasitics in livestock management. These drugs, although effective in controlling parasites, can leave residues in the milk, compromising the quality of the product and posing risks to public health ranging from mild to toxic allergic reactions. The techniques used to detect residues of these drugs still require time and have a high cost of implementation. In view of this, the detection of antiparasitic residues in milk becomes fundamental, both for compliance with sanitary legislation and for consumer protection, requiring sensitive, fast and reliable analytical methods. Therefore, the present work proposed the synthesis and characterization of colorimetric nanosensors formed by 10,12-pentacosadinoic acid (PCDA) and gamma-aminobutyric acid (GABA), aiming to investigate the detection of antiparasitics present in milk. The sensors were functionalized with the L64 triblock copolymer and polymerized with UV light rays. The standard solution of invermectin was prepared in ethanol (ethyl alcohol, 100%), used as a solvent. Samples with different concentrations: 0.5; 0,75; 1; 1.25 and 1.5mL in 100μg/L solution were used to evaluate the colorimetric response in addition to PDCA/GABA solution