Matches in SemOpenAlex for { <https://semopenalex.org/work/W3125539042> ?p ?o ?g. }
- W3125539042 endingPage "9490" @default.
- W3125539042 startingPage "9482" @default.
- W3125539042 abstract "Solid-state nanopores show special potential as a new single-molecular characterization for nucleic acid assemblies and molecular machines. However, direct recognition of small dimensional species is still quite difficult due the lower resolution compared with biological pores. We recently reported a very efficient noise-reduction and resolution-enhancement mechanism via introducing high-dielectric additives (e.g., formamide) into conical glass nanopore (CGN) test buffer. Based on this advance, here, for the first time, we apply a bare CGN to directly recognize small dimensional assemblies induced by small molecules. Cocaine and its split aptamer (Capt assembly) are chosen as the model set. By introducing 20% formamide into CGN test buffer, high cocaine-specific distinguishing of the 113 nt Capt assembly has been realized without any covalent label or additional signaling strategies. The signal-to-background discrimination is much enhanced compared with control characterizations such as gel electrophoresis and fluorescence resonance energy transfer (FRET). As a further innovation, we verify that low-noise CGN can also enhance the resolution of small conformational/size changes happening on the side chain of large dimensional substrates. Long duplex concatamers generated from the hybridization chain reaction (HCR) are selected as the model substrates. In the presence of cocaine, low-noise CGN has sensitively captured the current changes when the 26 nt aptamer segment is assembled on the side chain of HCR duplexes. This paper proves that the introduction of the low-noise mechanism has significantly improved the resolution of the solid-state nanopore at smaller and finer scales and thus may direct extensive and deeper research in the field of CGN-based analysis at both single-molecular and statistical levels, such as molecular recognition, assembly characterization, structure identification, information storage, and target index." @default.
- W3125539042 created "2021-02-01" @default.
- W3125539042 creator A5009006717 @default.
- W3125539042 creator A5011392170 @default.
- W3125539042 creator A5018125213 @default.
- W3125539042 creator A5027208282 @default.
- W3125539042 creator A5035360447 @default.
- W3125539042 creator A5056516842 @default.
- W3125539042 creator A5057386628 @default.
- W3125539042 date "2021-01-21" @default.
- W3125539042 modified "2023-10-17" @default.
- W3125539042 title "Low-Noise Solid-State Nanopore Enhancing Direct Label-Free Analysis for Small Dimensional Assemblies Induced by Specific Molecular Binding" @default.
- W3125539042 cites W1910100052 @default.
- W3125539042 cites W1942871038 @default.
- W3125539042 cites W1964625438 @default.
- W3125539042 cites W1964858690 @default.
- W3125539042 cites W1974784717 @default.
- W3125539042 cites W1987565198 @default.
- W3125539042 cites W1995893035 @default.
- W3125539042 cites W2009886994 @default.
- W3125539042 cites W2012472475 @default.
- W3125539042 cites W2015085424 @default.
- W3125539042 cites W2015784769 @default.
- W3125539042 cites W2025583382 @default.
- W3125539042 cites W2052826004 @default.
- W3125539042 cites W2056485178 @default.
- W3125539042 cites W2057937474 @default.
- W3125539042 cites W2059281433 @default.
- W3125539042 cites W2066649475 @default.
- W3125539042 cites W2073950623 @default.
- W3125539042 cites W2079321730 @default.
- W3125539042 cites W2090924278 @default.
- W3125539042 cites W2095898308 @default.
- W3125539042 cites W2101939669 @default.
- W3125539042 cites W2104525153 @default.
- W3125539042 cites W2108058966 @default.
- W3125539042 cites W2127407003 @default.
- W3125539042 cites W2133873308 @default.
- W3125539042 cites W2148304424 @default.
- W3125539042 cites W2148332776 @default.
- W3125539042 cites W2173808773 @default.
- W3125539042 cites W2239833872 @default.
- W3125539042 cites W2239850325 @default.
- W3125539042 cites W2295087691 @default.
- W3125539042 cites W2312824486 @default.
- W3125539042 cites W2315037307 @default.
- W3125539042 cites W2328478775 @default.
- W3125539042 cites W2420153309 @default.
- W3125539042 cites W2512389053 @default.
- W3125539042 cites W2550392351 @default.
- W3125539042 cites W2562252980 @default.
- W3125539042 cites W2567526705 @default.
- W3125539042 cites W2731130386 @default.
- W3125539042 cites W2750576270 @default.
- W3125539042 cites W2752232656 @default.
- W3125539042 cites W2755269227 @default.
- W3125539042 cites W2767950187 @default.
- W3125539042 cites W2769085026 @default.
- W3125539042 cites W2770168270 @default.
- W3125539042 cites W2770696853 @default.
- W3125539042 cites W2789332244 @default.
- W3125539042 cites W2792331018 @default.
- W3125539042 cites W2808006461 @default.
- W3125539042 cites W2884887524 @default.
- W3125539042 cites W2889809221 @default.
- W3125539042 cites W2893598450 @default.
- W3125539042 cites W2894882890 @default.
- W3125539042 cites W2896399231 @default.
- W3125539042 cites W2904130045 @default.
- W3125539042 cites W2906493741 @default.
- W3125539042 cites W2938073643 @default.
- W3125539042 cites W2939915101 @default.
- W3125539042 cites W2941202356 @default.
- W3125539042 cites W2942010261 @default.
- W3125539042 cites W2942517304 @default.
- W3125539042 cites W2969568925 @default.
- W3125539042 cites W2971792029 @default.
- W3125539042 cites W2972439584 @default.
- W3125539042 cites W3000919623 @default.
- W3125539042 cites W3007208198 @default.
- W3125539042 cites W3013432921 @default.
- W3125539042 cites W4211132533 @default.
- W3125539042 doi "https://doi.org/10.1021/acsami.0c20359" @default.
- W3125539042 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33476120" @default.
- W3125539042 hasPublicationYear "2021" @default.
- W3125539042 type Work @default.
- W3125539042 sameAs 3125539042 @default.
- W3125539042 citedByCount "19" @default.
- W3125539042 countsByYear W31255390422021 @default.
- W3125539042 countsByYear W31255390422022 @default.
- W3125539042 countsByYear W31255390422023 @default.
- W3125539042 crossrefType "journal-article" @default.
- W3125539042 hasAuthorship W3125539042A5009006717 @default.
- W3125539042 hasAuthorship W3125539042A5011392170 @default.
- W3125539042 hasAuthorship W3125539042A5018125213 @default.
- W3125539042 hasAuthorship W3125539042A5027208282 @default.
- W3125539042 hasAuthorship W3125539042A5035360447 @default.
- W3125539042 hasAuthorship W3125539042A5056516842 @default.