APPLICATION OF PLASMONICS FOR THE ANALYSIS OF POLYDISPERSE SYSTEMS

Abstract

Modern sensor technologies have advantages compared to other classical methods of analysis of liquid and gas environments, in particular, fast analysis and a small volume of the analyzed sample, high sensitivity, the ability to detect the analyzed substance in a polydisperse environment due to the specificity of the sensor. Plasmonics is one of the leading scientific directions, which is actively used in sensor technologies for the development of highly sensitive analytical devices and systems. Precision analytical devices based on SPR are used for research in the food, chemical, pharmaceutical industry, agriculture, medicine, and ecology. However, the interpretation of the measurement result is somewhat complicated when analyzing complex polydisperse systems and the presence of an interferent in the sample, which affects the value of the sensor signal. Therefore, there is a need to study, in particular, liquid polydisperse systems using models of approximate environments and using additional technologies to increase the specificity of the analyzed component by using receptor surfaces. The review provides information on the current state of polydisperse systems research using the example of milk - one of the most common food products. Sensitive, fast and efficient quantification and monitoring systems play a key role in the determination of harmful impurities in dairy products. The need to detect antibiotics with a minimum concentration in food products, in particular in dairy raw materials, which are complex polydisperse systems, is an important scientific problem. Such requirements give rise to the need to develop reliable, highly sensitive analytical methods. In addition, there is a huge demand for rapid analytical devices to detect antibiotic residues in milk samples on the farm before the raw material is sent to the factory, because after sending directly to the factory, in case of antibiotic detection, a large batch of milk is missing, which leads to excessive costs.