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Qitao Zhao

Researcher at University of Texas at Arlington

Publications -  14
Citations -  581

Qitao Zhao is an academic researcher from University of Texas at Arlington. The author has contributed to research in topics: Nanopore & Nanopore sequencing. The author has an hindex of 11, co-authored 14 publications receiving 527 citations.

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Real-Time Monitoring of Peptide Cleavage Using a Nanopore Probe

TL;DR: A rapid, label-free method for monitoring peptide cleavage through an engineered ion channel in the absence and the presence of an enzyme allowed quantitative chemical kinetics information on enzymatic processes to be obtained.
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Slowing DNA translocation through nanopores using a solution containing organic salts.

TL;DR: The translocation velocities of various DNA homo- and copolymers through protein pores could be significantly decreased by using electrolyte solutions containing organic salts using butylmethylimidazolium chloride (BMIM-Cl) instead of the commonly used KCl solution.
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Study of peptide transport through engineered protein channels.

TL;DR: In a protein channel modified with aromatic binding sites, aromatic amino acid components contributed more to the dwell time and current blockage of the events than other types of amino acids, although the van der Waals volumes of amino acid also affected the event signatures.
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Stochastic nanopore sensors for the detection of terrorist agents: Current status and challenges

TL;DR: The use of biological nanopores and artificial nanopores for the detection of terrorist agents including explosives, organophosphorus nerve agents, nitrogen mustards, organoarsenic compounds, toxins, and viruses is overview.
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Nanopore stochastic detection of a liquid explosive component and sensitizers using boromycin and an ionic liquid supporting electrolyte.

TL;DR: The results demonstrate that the usage of specific ionic liquid salt solutions instead of NaCl or KCl solution as supporting electrolyte provides a useful means to greatly enhance the sensitivity of the nanopore for some analytes in stochastic sensing.