DNA Characterization with Ion Beam-Sculpted Silicon Nitride Nanopores
| Autor: | Jiali Li, David S. McNabb, Ryan Rollings |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Materials science
Fabrication Ion beam Spectroscopy Electron Energy-Loss Signal-To-Noise Ratio Article Nanopores chemistry.chemical_compound Microscopy Electron Transmission Ion-beam sculpting High-resolution transmission electron microscopy Electrodes business.industry Electron energy loss spectroscopy Silicon Compounds Electric Conductivity Characterization (materials science) Nanopore Silicon nitride chemistry Data Interpretation Statistical DNA Viral Nucleic Acid Conformation Optoelectronics business Algorithms Software |
| Zdroj: | Methods in Molecular Biology ISBN: 9781617797729 |
| Popis: | Solid state nanopores are emerging as robust single molecule electronic measurement devices and as platforms for confining biomolecules for further analysis. The first silicon nitride nanopore to detect individual DNA molecules were fabricated using ion beam sculpting (IBS), a method that uses broad, low energy ion beams to create nanopores with dimensions ranging from 2 to 20 nm. In this chapter, we discuss the fabrication, characterization, and use of IBS sculpted nanopores as well as efficient uses of pClamp and MATLAB software suites for data acquisition and analysis. The fabrication section will cover the repeatability and the pore size limits. The characterization discussion focuses on the geometric properties as measured by low and high resolution transmission electron microscopy (TEM), electron energy loss spectroscopy (EELS), and energy filtered TEM (EFTEM). The section on translocation experiments focuses on how to use tools commonly available to the nanopore experimenter to determine whether a pore will be useful for experimentation or if it should be abandoned. A memory efficient method of taking data using Clampex’s event-driven mode and dual channel recording will be presented, followed by an easy to implement multi-threshold event detection and classification method using MATLAB software. |
| Databáze: | OpenAIRE |
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