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Description
Human breath is a concoction of thousands of compounds having in it a breath-print of physiological processes in the body. Though breath provides a non-invasive and easy to handle biological fluid, its analysis for clinical diagnosis is not very common. Partly the reason for this absence is unavailability of cost effective and convenient tools for such analysis. Scientific literature is full of novel sensor ideas but it is challenging to develop a working device, which are few. These challenges include trace level detection, presence of hundreds of interfering compounds, excessive humidity, different sampling regulations and personal variability. To meet these challenges as well as deliver a low cost solution, optical sensors based on specific colorimetric chemical reactions on mesoporous membranes have been developed. Sensor hardware utilizing cost effective and ubiquitously available light source (LED) and detector (webcam/photo diodes) has been developed and optimized for sensitive detection. Sample conditioning mouthpiece suitable for portable sensors is developed and integrated. The sensors are capable of communication with mobile phones realizing the idea of m-health for easy personal health monitoring in free living conditions. Nitric oxide and Acetone are chosen as analytes of interest. Nitric oxide levels in the breath correlate with lung inflammation which makes it useful for asthma management. Acetone levels increase during ketosis resulting from fat metabolism in the body. Monitoring breath acetone thus provides useful information to people with type1 diabetes, epileptic children on ketogenic diets and people following fitness plans for weight loss.
ContributorsPrabhakar, Amlendu (Author) / Tao, Nongjian (Thesis advisor) / Forzani, Erica (Committee member) / Lindsay, Stuart (Committee member) / Arizona State University (Publisher)
Created2013
Description
After a decade of efforts, accurate and affordable DNA sequencing continues to remain an important goal in current research landscape. This thesis starts with a brief overview of the recent updates in the field of DNA sequencing technologies followed by description of the nanofluidics route to single molecule DNA detection. Chapter 2 presents discusses carbon nanotube(CNT) based nanofluidics. The fabrication and DNA sensing measurements of CNT forest membrane devices are presented. Chapter 3 gives the background for functionalization and recognition aspects of reader molecules. Chapter 4 marks the transition to solid state nanopore nanofluidics. The fabrication of Imidazole functionalized nanopores is discussed. The Single Molecule detection results of DNA from Palladium nanopore devices are presented next. Combining chemical recognition to nanopore technology, it has been possible to prolong the duration of single molecule events from the order of a few micro seconds to upto a few milliseconds. Overall, the work presented in this thesis promises longer single molecule detection time in a nanofludic set up and paves way for novel nanopore- tunnel junction devices that combine recognition chemistry, tunneling device and nanopore approach.
ContributorsKrishnakumar, Padmini (Author) / Lindsay, Stuart (Thesis advisor) / He, Jin (Committee member) / Vaiana, Sara (Committee member) / Schmidt, Kevin (Committee member) / Arizona State University (Publisher)
Created2013
Description
Solution conformations and dynamics of proteins and protein-DNA complexes are often difficult to predict from their crystal structures. The crystal structure only shows a snapshot of the different conformations these biological molecules can have in solution. Multiple different conformations can exist in solution and potentially have more importance in the biological activity. DNA sliding clamps are a family of proteins with known crystal structures. These clamps encircle the DNA and enable other proteins to interact more efficiently with the DNA. Eukaryotic PCNA and prokaryotic β clamp are two of these clamps, some of the most stable homo-oligomers known. However, their solution stability and conformational equilibrium have not been investigated in depth before. Presented here are the studies involving two sliding clamps: yeast PCNA and bacterial β clamp. These studies show that the β clamp has a very different solution stability than PCNA. These conclusions were reached through various different fluorescence-based experiments, including fluorescence correlation spectroscopy (FCS), Förster resonance energy transfer (FRET), single molecule fluorescence, and various time resolved fluorescence techniques. Interpretations of these, and all other, fluorescence-based experiments are often affected by the properties of the fluorophores employed. Often the fluorescence properties of these fluorophores are influenced by their microenvironments. Fluorophores are known to sometimes interact with biological molecules, and this can have pronounced effects on the rotational mobility and photophysical properties of the dye. Misunderstanding the effect of these photophysical and rotational properties can lead to a misinterpretation of the obtained data. In this thesis, photophysical behaviors of various organic dyes were studied in the presence of deoxymononucleotides to examine more closely how interactions between fluorophores and DNA bases can affect fluorescent properties. Furthermore, the properties of cyanine dyes when bound to DNA and the effect of restricted rotation on FRET are presented in this thesis. This thesis involves studying fluorophore photophysics in various microenvironments and then expanding into the solution stability and dynamics of the DNA sliding clamps.
ContributorsRanjit, Suman (Author) / Levitus, Marcia (Thesis advisor) / Lindsay, Stuart (Committee member) / Yan, Hao (Committee member) / Arizona State University (Publisher)
Created2013
Description
High temperature CO2 perm-selective membranes offer potential for uses in various processes for CO2 separation. Recently, efforts are reported on fabrication of dense ceramic-carbonate dual-phase membranes. The membranes provide selective permeation to CO2 and exhibit high permeation flux at high temperature. Research on transport mechanism demonstrates that gas transport for ceramic-carbonate dual-phase membrane is rate limited by ion transport in ceramic support. Reducing membrane thickness proves effective to improve permeation flux. This dissertation reports strategy to prepare thin ceramic-carbonate dual-phase membranes to increase CO2 permeance. The work also presents characteristics and gas permeation properties of the membranes. Thin ceramic-carbonate dual-phase membrane was constructed with an asymmetric porous support consisting of a thin small-pore ionic conducting ceramic top-layer and a large pore base support. The base support must be carbonate non-wettable to ensure formation of supported dense, thin membrane. Macroporous yttria-stabilized zirconia (YSZ) layer was prepared on large pore Bi1.5Y0.3Sm0.2O3-δ (BYS) base support using suspension coating method. Thin YSZ-carbonate dual-phase membrane (d-YSZ/BYS) was prepared via direct infiltrating Li/Na/K carbonate mixtures into top YSZ layers. The thin membrane of 10 μm thick offered a CO2 flux 5-10 times higher than the thick dual-phase membranes. Ce0.8Sm0.2O1.9 (SDC) exhibited highest CO2 flux and long-term stability and was chosen as ceramic support for membrane performance improvement. Porous SDC layers were co-pressed on base supports using SDC and BYS powder mixtures which provided better sintering comparability and carbonate non-wettability. Thin SDC-carbonate dual-phase membrane (d-SDC/SDC60BYS40) of 150 μm thick was synthesized on SDC60BYS40. CO2 permeation flux for d-SDC/SDC60BYS40 exhibited increasing dependence on temperature and partial pressure gradient. The flux was higher than other SDC-based dual-phase membranes. Reducing membrane thickness proves effective to increase CO2 permeation flux for the dual-phase membrane.
ContributorsLu, Bo (Author) / Lin, Yuesheng (Thesis advisor) / Crozier, Peter (Committee member) / Herrmann, Macus (Committee member) / Forzani, Erica (Committee member) / Lind, Mary Laura (Committee member) / Arizona State University (Publisher)
Created2014
Description
A new photocatalytic material was synthesized to investigate its performance for the photoreduction of carbon dioxide (CO2) in the presence of water vapor (H2O) to valuable products such as carbon monoxide (CO) and methane (CH4). The performance was studied using a gas chromatograph (GC) with a flame ionization detector (FID) and a thermal conductivity detector (TCD). The new photocatalytic material was an ionic liquid functionalized reduced graphite oxide (IL-RGO (high conductive surface))-TiO2 (photocatalyst) nanocomposite. Brunauer-Emmett-Teller (BET), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, and UV-vis absorption spectroscopy techniques were employed to characterize the new catalyst. In the series of experiments performed, the nanocomposite material was confined in a UV-quartz batch reactor, exposed to CO2 and H2O and illuminated by UV light. The primary product formed was CO with a maximum production ranging from 0.18-1.02 µmol(gcatalyst-hour)-1 for TiO2 and 0.41-1.41 µmol(gcatalyst-hour)-1 for IL-RGO-TiO2. A trace amount of CH4 was also formed with its maximum ranging from 0.009-0.01 µmol(gcatalyst-hour)-1 for TiO2 and 0.01-0.04 µmol(gcatalyst-hour)-1 for IL-RGO-TiO2. A series of background experiments were conducted and results showed that; (a) the use of a ionic liquid functionalized reduced graphite oxide -TiO2 produced more products as compared to commercial TiO2, (b) the addition of methanol as a hole scavenger boosted the production of CO but not CH4, (c) a higher and lower reduction time of IL-RGO as compared to the usual 24 hours of reduction presented basically the same production of CO and CH4, (d) the positive effect of having an ionic liquid was demonstrated by the double production of CO obtained for IL-RGO-TiO2 as compared to RGO-TiO2 and (e) a change in the amount of IL-RGO in the IL-RGO-TiO2 represented a small difference in the CO production but not in the CH4 production. This work ultimately demonstrated the huge potential of the utility of a UV-responsive ionic liquid functionalized reduced graphite oxide-TiO2 nano-composite for the reduction of CO2 in the presence of H2O for the production of fuels.
ContributorsCastañeda Flores, Alejandro (Author) / Andino, Jean M (Thesis advisor) / Forzani, Erica (Committee member) / Torres, Cesar (Committee member) / Arizona State University (Publisher)
Created2014
Description
Ribulose-1, 5-bisphosphate carboxylase oxygenase, commonly known as RuBisCO, is an enzyme involved in carbon fixation in photosynthetic organisms. The enzyme is subject to a mechanism-based deactivation during its catalytic cycle. RuBisCO activase (Rca), an ancillary enzyme belonging to the AAA+ family of the ATP-ases, rescues RuBisCO by facilitating the removal of the tightly bound sugar phosphates from the active sites of RuBisCO. In this work, we investigated the ATP/ADP dependent oligomerization equilibrium of fluorescently tagged Rca for a wide range of concentrations using fluorescence correlation spectroscopy. Results show that in the presence of ADP-Mg2+, the oligomerization state of Rca gradually changes in steps of two subunits. The most probable association model supports the dissociation constants (K_d) of ∼4, 1, 1 μM for the monomer-dimer, dimer-tetramer, and tetramer-hexamer equlibria, respectively. Rca continues to assemble at higher concentrations which are indicative of the formation of aggregates. In the presence of ATP-Mg2+, a similar stepwise assembly is observed. However, at higher concentrations (30-75 µM), the average oligomeric size remains relatively unchanged around six subunits per oligomer. This is in sharp contrast with observations in ADP-Mg2+, where a marked decrease in the diffusion coefficient of Rca was observed, consistent with the formation of aggregates. The estimated K_d values obtained from the analysis of the FCS decays were similar for the first steps of the assembly process in both ADP-Mg2+ and ATP-Mg2+. However, the formation of the hexamer from the tetramer is much more favored in ATP-Mg2+, as evidenced from 20 fold lower K_d associated with this assembly step. This suggests that the formation of a hexameric ring in the presence of ATP-Mg2+. In addition to that, Rca aggregation is largely suppressed in the presence of ATP-Mg2+, as evidenced from the 1000 fold larger K_d value for the hexamer-24 mer association step. In essence, a fluorescence-based method was developed to monitor in vitro protein oligomerization and was successfully applied with Rca. The results provide a strong hint at the active oligomeric structure of Rca, and this information will hopefully help the ongoing research on the mechanistic enzymology of Rca.
ContributorsChakraborty, Manas (Author) / Levitus, Marcia (Thesis advisor) / Angell, Charles (Committee member) / Lindsay, Stuart (Committee member) / Arizona State University (Publisher)
Created2014
Description
Single molecule identification is one essential application area of nanotechnology. The application areas including DNA sequencing, peptide sequencing, early disease detection and other industrial applications such as quantitative and quantitative analysis of impurities, etc. The recognition tunneling technique we have developed shows that after functionalization of the probe and substrate of a conventional Scanning Tunneling Microscope with recognition molecules ("tethered molecule-pair" configuration), analyte molecules trapped in the gap that is formed by probe and substrate will bond with the reagent molecules. The stochastic bond formation/breakage fluctuations give insight into the nature of the intermolecular bonding at a single molecule-pair level. The distinct time domain and frequency domain features of tunneling signals were extracted from raw signals of analytes such as amino acids and their enantiomers. The Support Vector Machine (a machine-learning method) was used to do classification and predication based on the signal features generated by analytes, giving over 90% accuracy of separation of up to seven analytes. This opens up a new interface between chemistry and electronics with immediate implications for rapid Peptide/DNA sequencing and molecule identification at single molecule level.
ContributorsZhao, Yanan, 1986- (Author) / Lindsay, Stuart (Thesis advisor) / Nemanich, Robert (Committee member) / Qing, Quan (Committee member) / Ros, Robert (Committee member) / Zhang, Peiming (Committee member) / Arizona State University (Publisher)
Created2014
Description
Calcitonin Gene-Related Peptide (CGRP) is an intrinsically disordered protein
that has no regular secondary structure, but plays an important role in vasodilation and pain transmission in migraine. Little is known about the structure and dynamics of the monomeric state of CGRP or how CGRP is able to function in the cell, despite the lack of regular secondary structure. This work focuses characterizing the non-local structural and dynamical properties of the CGRP monomer in solution, and understanding how these are affected by the sequence and the solution environment. The unbound, free state of CGRP is measured using a nanosecond laser-pump spectrophotometer, which allows measuring the end-to-end distance (a non-local structural property) and the rate of end-to-end contact formation (intra-chain diffusional dynamics). The data presented in this work show that electrostatic interactions strongly modulate the structure of CGRP, and that peptide-solvent interactions are sequence and charge dependent and can have a significant effect on the internal dynamics of the peptide. In the last few years migraine research has shifted focus to disrupting the CGRP-receptor pathway through the design of pharmacological drugs that bind to either CGRP or its receptor, inhibiting receptor activation and therefore preventing or reducing the frequency of migraine attacks. Understanding what types of intra- and inter-chain interactions dominate in CGRP can help better design drugs that disrupt the binding of CGRP to its receptor.
that has no regular secondary structure, but plays an important role in vasodilation and pain transmission in migraine. Little is known about the structure and dynamics of the monomeric state of CGRP or how CGRP is able to function in the cell, despite the lack of regular secondary structure. This work focuses characterizing the non-local structural and dynamical properties of the CGRP monomer in solution, and understanding how these are affected by the sequence and the solution environment. The unbound, free state of CGRP is measured using a nanosecond laser-pump spectrophotometer, which allows measuring the end-to-end distance (a non-local structural property) and the rate of end-to-end contact formation (intra-chain diffusional dynamics). The data presented in this work show that electrostatic interactions strongly modulate the structure of CGRP, and that peptide-solvent interactions are sequence and charge dependent and can have a significant effect on the internal dynamics of the peptide. In the last few years migraine research has shifted focus to disrupting the CGRP-receptor pathway through the design of pharmacological drugs that bind to either CGRP or its receptor, inhibiting receptor activation and therefore preventing or reducing the frequency of migraine attacks. Understanding what types of intra- and inter-chain interactions dominate in CGRP can help better design drugs that disrupt the binding of CGRP to its receptor.
ContributorsSizemore, Sara (Author) / Vaiana, Sara (Thesis advisor) / Ghirlanda, Giovanna (Committee member) / Ros, Robert (Committee member) / Lindsay, Stuart (Committee member) / Ozkan, Sefika (Committee member) / Arizona State University (Publisher)
Created2015
Description
Atomic force microscopy (AFM) has become an important tool to characterize and image surfaces with nanoscale resolution. AFM imaging technique has been utilized to study a wide range of substances such as DNA, proteins, cells, silicon surfaces, nanowires etc. Hence AFM has become extremely important in the field of biochemistry, cell biology and material science. Functionalizing the AFM tip made it possible to detect molecules and their interaction using recognition imaging at single molecule level. Also the unbinding force of two molecules can be investigated based on AFM based single molecule force spectroscopy.
In the first study, a new chemical approach to functionalize the AFM tip in a simple and user-friendly way has been described. Copper-free click chemistry and a vinyl sulfone PEG linker have been utilized during the process. Using this technique, human thrombin and integrin were detected in separate experiments. Then a novel tri-arm linker with two recognition molecules on it was designed and two proteins (human thrombin and integrin) were detected simultaneously in the same experiment using recognition imaging. This technique can be applied to understand many multivalent interactions taking place in nature. Using the same tri-arm linker functionalized with two biotin molecules, the interaction of streptavidin with mono-biotin and bis-biotin ligands were investigated. The thermal stability of streptavidin-biotin complex was also studied using SDS-PAGE analysis.
In the final study, structure of native chromatin extracted from normal and cancer cell lines were analyzed using AFM imaging and agarose gel electrophoresis. Different salt fractions were used to extract chromatin region depending on their solubility. Mnase sensitivity of the chromatin sample was used to understand the open and closed structures of chromatin from different sources. The amount of chromatin in different salt fractions could act as an indicator of amount of open and condensed chromatin in normal and cancer cells. Eventually this ratio of closed and open structure of chromatin could be an indicator of tumorigenic nature of particular cell lines.
In the first study, a new chemical approach to functionalize the AFM tip in a simple and user-friendly way has been described. Copper-free click chemistry and a vinyl sulfone PEG linker have been utilized during the process. Using this technique, human thrombin and integrin were detected in separate experiments. Then a novel tri-arm linker with two recognition molecules on it was designed and two proteins (human thrombin and integrin) were detected simultaneously in the same experiment using recognition imaging. This technique can be applied to understand many multivalent interactions taking place in nature. Using the same tri-arm linker functionalized with two biotin molecules, the interaction of streptavidin with mono-biotin and bis-biotin ligands were investigated. The thermal stability of streptavidin-biotin complex was also studied using SDS-PAGE analysis.
In the final study, structure of native chromatin extracted from normal and cancer cell lines were analyzed using AFM imaging and agarose gel electrophoresis. Different salt fractions were used to extract chromatin region depending on their solubility. Mnase sensitivity of the chromatin sample was used to understand the open and closed structures of chromatin from different sources. The amount of chromatin in different salt fractions could act as an indicator of amount of open and condensed chromatin in normal and cancer cells. Eventually this ratio of closed and open structure of chromatin could be an indicator of tumorigenic nature of particular cell lines.
ContributorsSenapati, Subhadip (Author) / Lindsay, Stuart (Thesis advisor) / Zhang, Peiming (Thesis advisor) / Ghirlanda, Giovanna (Committee member) / Gould, Ian (Committee member) / Arizona State University (Publisher)
Created2015
Description
Control engineering offers a systematic and efficient approach to optimizing the effectiveness of individually tailored treatment and prevention policies, also known as adaptive or ``just-in-time'' behavioral interventions. These types of interventions represent promising strategies for addressing many significant public health concerns. This dissertation explores the development of decision algorithms for adaptive sequential behavioral interventions using dynamical systems modeling, control engineering principles and formal optimization methods. A novel gestational weight gain (GWG) intervention involving multiple intervention components and featuring a pre-defined, clinically relevant set of sequence rules serves as an excellent example of a sequential behavioral intervention; it is examined in detail in this research.
A comprehensive dynamical systems model for the GWG behavioral interventions is developed, which demonstrates how to integrate a mechanistic energy balance model with dynamical formulations of behavioral models, such as the Theory of Planned Behavior and self-regulation. Self-regulation is further improved with different advanced controller formulations. These model-based controller approaches enable the user to have significant flexibility in describing a participant's self-regulatory behavior through the tuning of controller adjustable parameters. The dynamic simulation model demonstrates proof of concept for how self-regulation and adaptive interventions influence GWG, how intra-individual and inter-individual variability play a critical role in determining intervention outcomes, and the evaluation of decision rules.
Furthermore, a novel intervention decision paradigm using Hybrid Model Predictive Control framework is developed to generate sequential decision policies in the closed-loop. Clinical considerations are systematically taken into account through a user-specified dosage sequence table corresponding to the sequence rules, constraints enforcing the adjustment of one input at a time, and a switching time strategy accounting for the difference in frequency between intervention decision points and sampling intervals. Simulation studies illustrate the potential usefulness of the intervention framework.
The final part of the dissertation presents a model scheduling strategy relying on gain-scheduling to address nonlinearities in the model, and a cascade filter design for dual-rate control system is introduced to address scenarios with variable sampling rates. These extensions are important for addressing real-life scenarios in the GWG intervention.
A comprehensive dynamical systems model for the GWG behavioral interventions is developed, which demonstrates how to integrate a mechanistic energy balance model with dynamical formulations of behavioral models, such as the Theory of Planned Behavior and self-regulation. Self-regulation is further improved with different advanced controller formulations. These model-based controller approaches enable the user to have significant flexibility in describing a participant's self-regulatory behavior through the tuning of controller adjustable parameters. The dynamic simulation model demonstrates proof of concept for how self-regulation and adaptive interventions influence GWG, how intra-individual and inter-individual variability play a critical role in determining intervention outcomes, and the evaluation of decision rules.
Furthermore, a novel intervention decision paradigm using Hybrid Model Predictive Control framework is developed to generate sequential decision policies in the closed-loop. Clinical considerations are systematically taken into account through a user-specified dosage sequence table corresponding to the sequence rules, constraints enforcing the adjustment of one input at a time, and a switching time strategy accounting for the difference in frequency between intervention decision points and sampling intervals. Simulation studies illustrate the potential usefulness of the intervention framework.
The final part of the dissertation presents a model scheduling strategy relying on gain-scheduling to address nonlinearities in the model, and a cascade filter design for dual-rate control system is introduced to address scenarios with variable sampling rates. These extensions are important for addressing real-life scenarios in the GWG intervention.
ContributorsDong, Yuwen (Author) / Rivera, Daniel E (Thesis advisor) / Dai, Lenore (Committee member) / Forzani, Erica (Committee member) / Rege, Kaushal (Committee member) / Si, Jennie (Committee member) / Arizona State University (Publisher)
Created2014