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- All Subjects: Smartphones
- All Subjects: Gold nanoparticle synthesis
- All Subjects: gold nanorods
- Genre: Doctoral Dissertation
- Creators: Acharya, Abhinav
- Creators: Gray, Dr. Rob
- Status: Published
Description
While various collision warning studies in driving have been conducted, only a handful of studies have investigated the effectiveness of warnings with a distracted driver. Across four experiments, the present study aimed to understand the apparent gap in the literature of distracted drivers and warning effectiveness, specifically by studying various warnings presented to drivers while they were operating a smart phone. Experiment One attempted to understand which smart phone tasks, (text vs image) or (self-paced vs other-paced) are the most distracting to a driver. Experiment Two compared the effectiveness of different smartphone based applications (app’s) for mitigating driver distraction. Experiment Three investigated the effects of informative auditory and tactile warnings which were designed to convey directional information to a distracted driver (moving towards or away). Lastly, Experiment Four extended the research into the area of autonomous driving by investigating the effectiveness of different auditory take-over request signals. Novel to both Experiment Three and Four was that the warnings were delivered from the source of the distraction (i.e., by either the sound triggered at the smart phone location or through a vibration given on the wrist of the hand holding the smart phone). This warning placement was an attempt to break the driver’s attentional focus on their smart phone and understand how to best re-orient the driver in order to improve the driver’s situational awareness (SA). The overall goal was to explore these novel methods of improved SA so drivers may more quickly and appropriately respond to a critical event.
ContributorsMcNabb, Jaimie Christine (Author) / Gray, Dr. Rob (Thesis advisor) / Branaghan, Dr. Russell (Committee member) / Becker, Dr. Vaughn (Committee member) / Arizona State University (Publisher)
Created2017
Description
Tissue approximation and repair have been performed with sutures and staples for centuries, but these means are inherently traumatic. Tissue repair using laser-responsive nanomaterials can lead to rapid tissue sealing and repair and is an attractive alternative to existing clinical methods. Laser tissue welding is a sutureless technique for sealing incised or wounded tissue, where chromophores convert laser light to heat to induce in tissue sealing. Introducing chromophores that absorb near-infrared light creates differential laser absorption and allows for laser wavelengths that minimizes tissue damage.
In this work, plasmonic nanocomposites have been synthesized and used in laser tissue welding for ruptured porcine intestine ex vivo and incised murine skin in vivo. These laser-responsive nanocomposites improved tissue strength and healing, respectively. Additionally, a spatiotemporal model has been developed for laser tissue welding of porcine and mouse cadaver intestine sections using near-infrared laser irradiation. This mathematical model can be employed to identify optimal conditions for minimizing healthy cell death while still achieving a strong seal of the ruptured tissue using laser welding. Finally, in a model of surgical site infection, laser-responsive nanomaterials were shown to be efficacious in inhibiting bacterial growth. By incorporating an anti-microbial functionality to laser-responsive nanocomposites, these materials will serve as a treatment modality in sealing tissue, healing tissue, and protecting tissue in surgery.
In this work, plasmonic nanocomposites have been synthesized and used in laser tissue welding for ruptured porcine intestine ex vivo and incised murine skin in vivo. These laser-responsive nanocomposites improved tissue strength and healing, respectively. Additionally, a spatiotemporal model has been developed for laser tissue welding of porcine and mouse cadaver intestine sections using near-infrared laser irradiation. This mathematical model can be employed to identify optimal conditions for minimizing healthy cell death while still achieving a strong seal of the ruptured tissue using laser welding. Finally, in a model of surgical site infection, laser-responsive nanomaterials were shown to be efficacious in inhibiting bacterial growth. By incorporating an anti-microbial functionality to laser-responsive nanocomposites, these materials will serve as a treatment modality in sealing tissue, healing tissue, and protecting tissue in surgery.
ContributorsUrie, Russell Ricks (Author) / Rege, Kaushal (Thesis advisor) / Acharya, Abhinav (Committee member) / DeNardo, Dale (Committee member) / Holloway, Julianne (Committee member) / Thomas, Marylaura (Committee member) / Arizona State University (Publisher)
Created2019
Description
Abnormally low or high blood iron levels are common health conditions worldwide and can seriously affect an individual’s overall well-being. A low-cost point-of-care technology that measures blood iron markers with a goal of both preventing and treating iron-related disorders represents a significant advancement in medical care delivery systems. Methods: A novel assay equipped with an accurate, storable, and robust dry sensor strip, as well as a smartphone mount and (iPhone) app is used to measure total iron in human serum. The sensor strip has a vertical flow design and is based on an optimized chemical reaction. The reaction strips iron ions from blood-transport proteins, reduces Fe(III) to Fe(II), and chelates Fe(II) with ferene, with the change indicated by a blue color on the strip. The smartphone mount is robust and controls the light source of the color reading App, which is calibrated to obtain output iron concentration results. The real serum samples are then used to assess iron concentrations from the new assay and validated through intra-laboratory and inter-laboratory experiments. The intra-laboratory validation uses an optimized iron detection assay with multi-well plate spectrophotometry. The inter-laboratory validation method is performed in a commercial testing facility (LabCorp). Results: The novel assay with the dry sensor strip and smartphone mount, and App is seen to be sensitive to iron detection with a dynamic range of 50 - 300 µg/dL, sensitivity of 0.00049 µg/dL, coefficient of variation (CV) of 10.5%, and an estimated detection limit of ~15 µg/dL These analytical specifications are useful for predicting iron deficiency and overloads. The optimized reference method has a sensitivity of 0.00093 µg/dL and CV of 2.2%. The correlation of serum iron concentrations (N=20) between the optimized reference method and the novel assay renders a slope of 0.95, and a regression coefficient of 0.98, suggesting that the new assay is accurate. Lastly, a spectrophotometric study of the iron detection reaction kinetics is seen to reveal the reaction order for iron and chelating agent. Conclusion: The new assay is able to provide accurate results in intra- and inter- laboratory validations and has promising features of both mobility and low-cost.
ContributorsSerhan, Michael (Author) / Forzani, Erica (Thesis advisor) / Raupp, Gregory (Committee member) / Acharya, Abhinav (Committee member) / Hu, Tony (Committee member) / Smith, Barbara (Committee member) / Arizona State University (Publisher)
Created2020
Description
The list of applications of plasmonic nanoparticles in the fields of energy research, sensing, and diagnostics and therapeutics is continuously growing. Processes for the synthesis of the nanoparticles for such applications should incorporate provision to easily functionalize the particle formed and should ideally not use toxic reagents or create toxic by-products. The traditional methods of synthesizing nanoparticles generally are energy inefficient, requires stringent conditions such as high temperature, pressure or extreme pH and often produces toxic by-products. Although there exist a few solution-based methods to solve this problem, there is one avenue which has recently gained attention for nanoparticle synthesis: using biomolecules to facilitate nanomaterials synthesis. Using biomolecules for synthesis can provide a template to guide the nucleation process and helps to keep conditions biocompatible while also combining the step of functionalization of the nanoparticle with its synthesis through the biomolecule itself. The dissertation focuses on studying the bio-templated synthesis of two such noble metal nanoparticle which have biomedical applications: gold and platinum. In chapter 2, Gold Nanoparticles (GNP), with long-term stability, were synthesized using Maltose Binding Protein (MBP) as templating agent. The site of gold interaction on MBP was identified by X-ray crystallography. A novel gold binding peptide, AT1 (YPFGGSGGSGM), was designed based on the orientation of the residues in the gold binding site, identified through crystallography. This designed peptide was also shown to have stabilized and affected the growth rate of GNP formation, in similar manner to MBP. Further in chapter 3, a nanosensor was formulated using a variation of this GNP-MBP system, to detect and measure ionizing radiation dose for cancer radiation therapy. Upon exposure to therapeutic levels of ionizing radiation, the MBP‐based sensor system formed gold nanoparticles with a dose‐dependent color that could be used to predict the amount of delivered X‐ray dose. In chapter 4, a similar system of protein templated synthesis was introduced for platinum nanoparticle (PtNP). Here, GroEL, a large homo-tetradecamer chaperone from E.coli, was used as templating and stabilizing agent for reduction of K2PtCl4 ions to form PtNP. To understand how GroEL interacts with the PtNPs and thereby stabilizes them, single-particle cryo-electron microscopy technique was used to model the complex in solution. A 3.8-Å resolution 3D cryo-EM map of GroEL depicting the location of PtNP inside its central cylindrical cavity was obtained. Fitting a GroEL model to the map revealed Arginine-268 from two adjacent subunits of GroEL interacting with the PtNP surface. Finally in chapter 5, a solution to the potential issues of single particle data processing on protein nanoparticle complexes, specifically with 2D classification, was developed by creating masking algorithms.
ContributorsThaker, Amar Nilkamal (Author) / Nannenga, Brent L (Thesis advisor) / Acharya, Abhinav (Committee member) / Torres, Cesar (Committee member) / Mills, Jeremy (Committee member) / Rege, Kaushal (Committee member) / Arizona State University (Publisher)
Created2020