SERS indicator systems for the molecular diagnostics of neuroendocrine and neurodegenerative diseases

Abstract

The course of pathological processes can be assessed by individual markers or groups of them. Visualizing these markers and gaining information about their quantity from clinical trial data allows us to monitor the progression of undesirable processes and adjust treatment strategies. Unfortunately, not all neurological diseases, particularly neurodegenerative diseases, can currently be diagnosed with sufficient accuracy at an early stage. Although it is not yet possible to reliably determine the full pathogenesis of these diseases, several potential markers have been identified that can help assess the presence and progression of dementia and the effectiveness of treatment. These include beta-amyloid, tau-protein, and catecholamines, with norepinephrine being of particular importance. Using SERS spectroscopy on noble metal nanoparticles, it is possible to detect and selectively determine pathogenic compounds such as beta-amyloid, which is one of the main causes of Alzheimer's disease, and auxiliary markers such as catecholamines at the nanomolar level with minimal sample preparation. By selecting optimal sensor surfaces and indicator systems, we can selectively enhance certain signals even in complex biological matrices, which makes SERS spectroscopy a promising tool for bioanalytical research and the diagnosis of socially important diseases.

Speaker

Yarenkov Nikita Ruslanovich
Moscow State University Faculty of Chemistry
Russia

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