Stochastic Detection of MPSA-Gold Nanoparticles Using a α-Hemolysin Nanopore Equipped with a Noncovalent Molecular Adaptor

We present the first study of a novel, more sensitive method for the characterization of nanoparticles (NPs). This approach combines detection via a protein nanopore with modification of its interaction behavior using a molecular adaptor. We identify different populations of 3-mercapto-1-propanesulfonate (MPSA)-modified-gold NPs using the biological nanopores alpha-hemolysin (alpha HL) and its M113N mutant equipped with a noncovalently bound gamma-cyclodextrin molecule as a stochastic sensor. Identification takes place on the basis of the extent of current blockades and residence times. Here, we demonstrate that noncovalently attached adaptors can be used to change the sensing properties of alpha HL nanopores, allowing the detection and characterization of different populations of MPSA NPs. This is an advance in sensitivity and diversity of NP sensing, as well as a promising and reliable technology to characterize NPs by using protein nanopores.