ArticleACS omega2023
Detection and Separation of DNA and Silver Nanoparticles Using a Solid-State Nanopore.
Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nanopore sensors, a new generation of single-molecule sensors, are increasingly used to detect and analyze various analytes and have great potential for rapid gene sequencing. However, there are still some problems in the preparation of small diameter nanopores, such as imprecise pore size and porous defects, while the detection accuracy of large-diameter nanopores is relatively low. Therefore, how to achieve more precise detection of large diameter nanopore sensors is an urgent problem to be studied. Here, SiN nanopore sensors were used to detect DNA molecules and silver nanoparticles (NPs) separately and in combination. The experimental results show that large-size solid-state nanopore sensors can identify and discriminate between DNA molecules, NPs, and NP-bound DNA molecules clearly according to resistive pulses. In addition, the detection mechanism of using NPs to assist in identifying target DNA molecules in this study is different from previous reports. We find that silver NPs can simultaneously bind to multiple probes and target DNA molecules and generate a larger blocking current than free DNA molecules when passing through the nanopore. In conclusion, our research indicates that large-sized nanopores can distinguish the translocation events, thereby identifying the presence of the target DNA molecules in the sample. This nanopore-sensing platform can produce rapid and accurate nucleic acid detection. Its application in medical diagnosis, gene therapy, virus identification, and many other fields is highly significant.
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Registered trials
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