The core principle of solid-state nanopore detection technology relies on silicon-based solid-state nanopores as sensing interfaces. When target molecules such as DNA, RNA, proteins, metabolites, or metal ions pass through the pores one by one, they cause characteristic perturbations to the ionic current within the pores. High-sensitivity identification at the single-molecule level is achieved by accurately capturing these perturbation signals.
Different molecules vary in size, charge, conformation, and interaction with the pore walls, leading to distinct current signal characteristics. These characteristics mainly include key parameters such as current blockage amplitude, residence time, and kurtosis. Through quantitative analysis and pattern recognition of these parameters, it is possible to precisely distinguish the type, concentration, and even structural differences of different target analytes. This provides efficient and accurate technical support for fields such as biomolecular detection, disease diagnosis, and environmental monitoring.
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