Dual Confinement-Enhanced Multiple Single Nucleotide Variant Detection at the Single-Particle Level

The efficacy of multiple single nucleotide variants (SNVs) analysis is far from ideal due to the limitations in identification. This study introduced a novel strategy for multiple SNVs analysis at the single particle level, integrating molecular and nanomaterial confinement to significantly accelerate the kinetics of multiplex recognition processes. Leveraging DNA tetrahedra to enhance sample background tolerance, we developed a nano self-assembly approach for the microscopic visualization and single-particle detection of mutations. The incorporation of X-shaped probes on DNA tetrahedra formed high-stability recognition units, which were interconnected via a long-chain confinement mechanism. Upon recognition,…