2020 Theses Doctoral
Optimization and characterization of noise for ion channel and carbon nanotube biosensing platforms
Single molecule biosensing techniques offer unique advantages and opportunities for basic biological studies and medical diagnostic applications. However, their signal levels are intrinsically very weak and can be easily masked by the noise from the sensor itself or the measurement electronics. Thus, the biosensing systems and devices must be carefully characterized and optimized to reduce noise. This thesis first presents optimizations that enable high bandwidth, single channel recordings of the calcium-induced calcium release channel ryanodine receptor 1. By directly integrating a suspended bilayer with a complementary metal oxide semiconductor transimpedance amplifier, the total input capacitance and, therefore, high frequency noise are lowered, enabling gating events to be recorded at an order of magnitude higher bandwidth than the previous state of the art. Next, low frequency noise optimizations for carbon nanotube transistors are explored using hexagonal boron nitride substrates. These devices have improved 1/f noise performance compared to equivalent devices on silicon oxide and demonstrate evidence of contact limited noise. Finally, a basic characterization of 1/f noise in carbon nanotubes is developed using correlated transport and noise measurements in crossed carbon nanotube homojunction devices. These methods of optimizing and characterizing noise can aid in the development of single molecule biosensors with improved temporal resolution and error rates.
- Ong_columbia_0054D_16132.pdf application/pdf 5.35 MB Download File
More About This Work
- Academic Units
- Applied Physics and Applied Mathematics
- Thesis Advisors
- Shepard, Kenneth L.
- Ph.D., Columbia University
- Published Here
- August 5, 2020