Matching Items (17)
Description
Exploration of long-range conductance in non-redox-active proteins at the single molecule scale is aided by the development of innovative, tailor-made quantitative data analysis techniques. This thesis details the rationale behind the proposed approaches, the steps taken to design and implement every method, and the validation of the methodologies using appropriate experiments, benchmarks, and rigorous statistical data analysis. The first chapter conducts a thorough literature review, sets the stage for the subsequent investigation, and underscores the importance of the research questions addressed in this thesis. The second chapter describes the solvent effects on the electronic conductance of a series of Consensus Tetratricopeptide Repeat proteins (CTPR) measured with Scanning Tunneling Microscopy (STM). The study reveals a reversible reduction in electronic conductance when water (H2O) is replaced with heavy water (D2O) due to a ~6-fold decrease in the carrier diffusion constant as proteins become solvated by D2O. Similar observations are made in a ~7 nm long tryptophan zipper protein, while a phenylalanine zipper protein of comparable length remains unchanged in D2O, highlighting the critical role of aromatic residues in proteins lacking redox cofactors. As an extension to this finding, the third chapter describes the development of a machine-learning model to detect the presence of a protein and identify essential features helping in the detection. For this purpose, a solid-state device was engineered to measure the conductance of CTPR-16 protein wires. This approach addresses the limitations in characterizing the STM gap, enables the collection of stable current vs. time data, and provides a statistical understanding of the electronic transport through a protein. The final chapter investigates real-time changes in conductance in response to protein conformation alterations. A deoxyribonucleic acid (DNA) polymerase Φ29 was chosen for its potential utility as a single-molecule DNA sequencing device. The modified enzyme was bound to electrodes functionalized with streptavidin. Φ29 connected by one biotinylated contact and a second nonspecific contact showed rapid small fluctuations in current when activated. Signals were greatly enhanced with two specific contacts. Features in the distributions of conductance increased by a factor of 2 or more over the open-to-closed conformational transition of the polymerase.
ContributorsMukherjee, Sohini (Author) / Lindsay, Stuart (Thesis advisor) / Moore, Thomas (Committee member) / Qing, Quan (Committee member) / Arizona State University (Publisher)
Created2023
ContributorsMoore, Thomas (Arranger)
ContributorsMoore, Thomas (Performer) / ASU Library. Music Library (Publisher)
Created2000-10-13
ContributorsMoore, Thomas (Composer)
ContributorsMoore, Thomas (Composer) / Chavez, Jesse (Arranger)
Description
The ability to accurately predict the oxidation and reduction potentials of molecules is very useful in various fields and applications. Quantum mechanical calculations can be used to access this information, yet sometimes the usefulness of these calculations can be limited because of the computational requirements for large systems. Methodologies that yield strong linear correlations between calculations and experimental data have been reported, however the balance between accuracy and computational cost is always a major issue. In this work, linear correlations (with an R-2 value of up to 0.9990) between DFT-calculated HOMO/LUMO energies and 70 redox potentials from a series of 51 polycyclic aromatic hydrocarbons (obtained from the literature) are presented. The results are compared to previously reported linear correlations that were obtained with a more expensive computational methodology based on a Born-Haber thermodynamic cycle. It is shown in this article that similar or better correlations can be obtained with a simple and cheaper calculation.
ContributorsMendez-Hernandez, Dalvin (Author) / Pilarisetty, Tarakeshwar (Author) / Gust, Devens (Author) / Moore, Thomas (Author) / Moore, Ana (Author) / Mujica, Vladimiro (Author) / Department of Chemistry and Biochemistry (Contributor) / College of Liberal Arts and Sciences (Contributor) / School of Molecular Sciences (Contributor)
Created2013-10-28
Description
Titanium dioxide (TiO2) is widely used for photocatalysis and solar cell applications, and the electronic structure of bulk TiO2 is well understood. However, the surface structure of nanoparticulate TiO2, which has a key role in properties such as solubility and catalytic activity, still remains controversial. Detailed understanding of surface defect structures may help explain reactivity and overall materials performance in a wide range of applications. In this work we address the solubility problem and surface defects control on TiO2 nanoparticles. We report the synthesis and characterization of ∼4 nm TiO2 anatase spherical nanoparticles that are soluble and stable in a wide range of organic solvents and water. By controlling the temperature during the synthesis, we are able to tailor the density of defect states on the surface of the TiO2 nanoparticles without affecting parameters such as size, shape, core crystallinity, and solubility. The morphology of both kinds of nanoparticles was determined by TEM. EPR experiments were used to characterize the surface defects, and transient absorption measurements demonstrate the influence of the TiO2 defect states on photoinduced electron transfer dynamics.
ContributorsLlansola Portoles, Manuel (Author) / Bergkamp, Jesse (Author) / Finkelstein Shapiro, Daniel (Author) / Sherman, Benjamin (Author) / Kodis, Gerdenis (Author) / Dimitrijevic, Nada M. (Author) / Gust, Devens (Author) / Moore, Thomas (Author) / Moore, Ana (Author) / Department of Chemistry and Biochemistry (Contributor) / College of Liberal Arts and Sciences (Contributor) / School of Molecular Sciences (Contributor) / Center for Bioenergy and Photosynthesis (Contributor)
Created2014-11-13