Single-Molecule Frequency Fingerprint for Ion Interaction Networks in a Confined Nanopore

被引:12
作者
Li, Xinyi [1 ]
Ying, Yi-Lun [1 ,2 ]
Fu, Xi-Xin [3 ]
Wan, Yong-Jing [3 ]
Long, Yi-Tao [1 ]
机构
[1] Nanjing Univ, Sch Chem & Chem Engn, State Key Lab Analyt Chem Life Sci, 163 Xianlin Rd, Nanjing 210023, Peoples R China
[2] Nanjing Univ, Chem & Biomed Innovat Ctr, 163 Xianlin Rd, Nanjing 210023, Peoples R China
[3] East China Univ Sci & Technol, Sch Informat Sci & Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China
基金
中国国家自然科学基金;
关键词
ion interaction networks; nanoelectrochemistry; nanopore; single-molecule analysis; HILBERT-HUANG TRANSFORM; EMPIRICAL MODE DECOMPOSITION; ALPHA-HEMOLYSIN; NOISE; DNA; OLIGONUCLEOTIDE; ACID; TRANSPORT; DYNAMICS; KINETICS;
D O I
10.1002/anie.202108226
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The transport of molecules and ions through biological nanopores is governed by interaction networks among restricted ions, transported molecules, and residue moieties at pore inner walls. However, identification of such weak ion fluctuations from only few tens of ions inside nanopore is hard to achieve owing to electrochemical measurement limitations. Here, we developed an advanced frequency method to achieve qualitative and spectral analysis of ion interaction networks inside a nanopore. The peak frequency f(m) reveals the dissociation rate between nanopore and ions; the peak amplitude a(m) depicts the amount of combined ions with the nanopore after interaction equilibrium. A mathematical model for single-molecule frequency fingerprint achieved the prediction of interaction characteristics of mutant nanopores. This single-molecule frequency fingerprint is important for classification, characterization, and prediction of synergetic interaction networks inside nanoconfinement.
引用
收藏
页码:24582 / 24587
页数:6
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