<p>Detection of pathogens, toxins, hazardous chemicals, and allergens in the food industry with reliable, sensitive, efficient, and rapid results has increased the demand to develop innovative diagnostic tools. Surface-enhanced Raman spectroscopy (SERS) sensors have demonstrated to detect a wide variety of analytes using nanomaterials like metal nanoparticles. Concerns of synthetic materials that can affect the environment with disposal of sensors have opened the possibility of fabricating SERS sensors with biodegradable materials. Fabrication of electrospun nanofibers from natural polymeric materials such as soy protein isolate can be used as a SERS platform. In the first part of this research, the characteristics of SPI solutions blended with NaOH and polyethylene oxide (PEO) such as PEO Mw, zeta potential and viscosity as well operating parameters such as voltage (15, 20, and 27 kV) were studied to evaluate the best solutions for a nanofibrous SERS platform. Characteristics of electrospun nanofibers, such as surface wettability, fiber diameters, and morphology using SEM, helped determine the most feasible fibers for decoration with noble metal nanoparticles. Fibers fabricated with 12 wt% SPI + 5 wt% PEO (0.1 MDa) + 1 wt% NaOH solution showed the smallest fiber diameter and highest water contact angle measurements. Glutaraldehyde (GLA) was added as a crosslinker to partly increase nanofibers hydrophobicity. These nanofibers were decorated with Au-nanostars and Au@Ag-NPs suspended in 90% butanol and in water. Partly hydrophobic nanofibers decorated with Au-nanostars and Au@Ag-NPs in butanol showed the most feasible results for a SERS platform due to smallest fiber diameter and higher water contact angle. In the second part of this research, decorated SPI nanofibers were evaluated to study its feasibility as a SERS platform for detecting bisphenol A (BPA), a toxic chemical present in food packaging materials. However, SERS spectra were difficult to obtain due to CCD overflow (excessive number of photons) at all laser powers on SPI nanofiber mats. Optimizing other Raman spectroscopy parameters such as the exposure time and the number of averages could enhance the SERS measurements. The fabricated SPI nanofibers in this research showed that hydrophilic and partly hydrophobic nanofibers mats could be used for decoration with metal nanoparticles by suspending the nanoparticles in a hydrophobic solvent. Hydrophilic nanofiber mats with nanoparticles in a hydrophobic solvent open a new strategy for developing another type of SERS platform.</p>

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The effects of vapor-grown carbon nanofiber (VGCNF) weight fraction, applied stress, and temperature on the viscoelastic responses (creep strain, creep rate, and creep compliance) of VGCNF/vinyl ester (VE) nanocomposites were studied using a central composite design (CCD). The nanocomposite test articles were fabricated by high shear mixing, casting, curing, and post-curing in an open face mold under a nitrogen environment. Short-term creep/creep recovery experiments were conducted at prescribed combinations of temperatures (23.8 – 69.2 C), applied stresses (30.2 – 49.8 MPa), and VGCNF weight fractions (0.00 – 1.00 parts of VGCNF per hundred parts of resin, phr) determined from the CCD. The response surface models (RSMs) for predicting these viscoelastic responses were developed using the least squares method and an analysis of variance procedure. The response surface estimates indicate that increasing the VGCNF weight fraction decreases the creep resistance of the VGCNF/VE nanocomposites at high temperatures (46.5 – 69.2 C).

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Ph. D. (Department of Chemistry, Faculty of Applied and Computer Sciences), Vaal University of Technology. / A major challenge for this generation is cleaning up heavy metal pollution disposed during industrial, domestic and agricultural activities. So, to obtain clean water resources, new treatment technologies are needed that can be applied to a broad range of highly toxic heavy metals in water. In this study, metal organic frameworks (MOFs) were synthesized from 1,2,4,5-tertabenzene carboxylic acid with metal salts of; cobalt, copper, iron, antimony, strontium and lanthanum through solvothermal method. The synthesized MOFs were reacted with polyvinyl alcohol (PVA) by electrospinning. To the best of our knowledge it is for the first time that such hybrid materials are synthesized and reported. PVA/MOF materials were characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetry analyzer (TGA). The SEM micrographs of PVA/MOFs materials showed relatively uniform nanofibers that were non-beaded and entangled. Some formed patches, while others were partially cross linked. TGA analysis revealed that PVA/MOF nanofibers exhibited higher decomposition temperature than PVA nanofibres. Thus, it confirmed the interactive force between MOF and PVA nanofibres. FTIR plots also exhibited shifts in critical functional group positions, thus it confirmed that there was a given amount of MOFs embedded in the electrospun fibrous mat. PVA/MOFs materials were used in the adsorption of lead ions in solution to study the effects of temperature, time dependant studies and concentrations. The batch adsorption experiments were performed at five different Pb(II) ion concentrations (20, 40, 60, 80 and 100 mg/L), four different temperatures (25, 40, 60 and 80 oC), time dependent studies ranged from (5, 10, 30 and 60 min) and pH of all Pb(II) solutions were recorded to be 5.05. The results indicated that the uptake performance of PVA and PVA/MOFs nanofibers significantly changed with concentration, temperature and time. The PVA/MOFs nanofiber hybrids demonstrated greater adsorption percentage and adsorption capacity for Pb(II) ions than PVA nanofibers. PVA nanofibers showed moderate adsorption percentage and capacity performance of 25.5 % and 44.13 mg/g (meaning 44.13 mg of Pb(II) per gram of PVA nanofibers) while PVA/MOFs nanofibers showed improved percentage and capacity perfomance (PVA/Cu-MOFs 76.36 % and 152.72 mg/g), (PVA/Co-MOFs 59.41 % and 99.28 mg/g), (PVA/La-MOFs 92.27 % and 184.03 mg/g), (PVA/Cd-MOFs 83.19 % and 165.94 mg/g), (PVA/Sb-MOFs 50.66 % - 91.57 mg/g), (PVA/Sr-MOFs 58.85 % - 124.82 mg/g) and (PVA/Fe-MOFs 56.76 % - 108.82 mg/g). The adsorption data of Pb(II) ions on PVA and all PVA/MOFs nanofibers showed that a pseudo-second order kinetic model was more suitable than a pseudo first order kinetic model. The adsorption rate was much faster on PVA/MOFs nanofibers. This is marked by lower activation energy compared to PVA nanofibers activation energy. The Temkin model did not correlate well with all the adsorption data. On the contrary, Freundlich and Langmuir isotherm models described the adsorption data adequately. All PVA/MOFs nanofibers followed Langmuir isotherm model, only PVA nanofibers followed Freundlich isotherm model. The PVA and PVA/MOFs nanofibers gave negative values of enthalpy change (ΔHo) and negative values of Gibbs free energy change (ΔGo) showing the adsorption processes were exothermic and spontaneous. Moreover, obtained positive entropy changes (ΔSo) on PVA, PVA/Fe-MOF, PVA/Cu-MOF, PVA/Co-MOF and PVA/Sb-MOF nanofibers showed that the sorped Pb(II) ions were not restricted on the electrospun nanofibres and physisorption mechanism was dominant, while negative entropy changes (ΔSo) on PVA/Sr-MOF and PVA/La-MOF nanofibers indicated that chemisorption was more dominant. The influence of ubiquitous cations such as Ca(II) and Mg(II) on the adsorption of Pb(II) ions onto PVA and PVA/MOF nanofibers was also assessed. The results showed that the ubiquitous ions had no significant influence on the sorption of Pb(II) ions. Current investigation provides a method to develop novel PVA/MOFs nanofibers hybrid adsorbents for water purification system. The adsorption capacities and removal achieved with the PVA/MOFs nanofibers sorbent were higher than those for PVA sorbent. The electro spun nanofiber sorbents presents an efficient alternative for pre-treating lead ions in aqueous solutions. Results from this research demonstrated that higher performance novel nanofibers, which possessed higher adsorption percentages and capacity capabilities were obtsained far exceeding some of the commonly used adsorbents, were obtained.

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Mechanical interactions of cells with their immediately surrounding extracellular matrix (ECM) is now known to be critical in pathophysiology. For example, during cancer progression, while uncontrollable cell division leads to tumor formation, the subsequent metastatic migration of cells from the primary tumor site to distant parts of the body causes most cancer-related deaths. The metastatic journey requires cells to be able to adopt different shapes and move persistently through the highly fibrous native ECM, thereby requiring significant spatiotemporal reorganization of the cell cytoskeleton. While numerous studies performed on flat 2-dimensional culture platforms and physiological 3D gels have elucidated cytoskeletal reorganization, our understanding on how cells adapt to natural fibrous microenvironments and regulate their behavior in response to specific ECM biophysical cues including fiber size, spacing, alignment and stiffness remains in infancy. Here, we utilize the non -electrospinning Spinneret tunable engineered parameters (STEP) technique to manufacture ECM mimicking suspended fibrous matrices with precisely controlled fiber diameters, network architecture, inter-fiber spacing and structural stiffness to advance our fundamental understanding of how external cues affect cytoskeleton-based cellular forces in 3-distinct morphological processes of the cell cycle starting from division to spreading and migration. Mechanobiological insights from these studies are implemented to deliver intracellular cargo inside cells using electrical fields. Holistically, we conclude that fibrous environments elicit multiple new cell behaviors never before reported. Specifically, our new findings include (i) design of fiber networks regulates actin networks and cell forces to sculpt nuclei in varying shapes: compressed ovals, tear drop, and invaginations, and drive the nuclear translocation of transcription factors like YAP/TAZ. In all these shapes, nuclei remain rupture-free, thus demonstrating the unique adaptability of cells to fibers, (ii) dense crosshatch networks are fertile environments for persistent 1D migration in 3D shapes of rounded nuclei and low density of actin networks, while sparse fiber networks induce 2D random migration in flattened shapes and well-defined actin stress fibers, (iii) actin retraction fiber-based stability regulates mitotic errors. Cells undergoing mitosis on single fibers exhibit significant 3D movement, and those attached to two fibers can have rotated mitotic machinery, both conditions contributing to erroneous division, and (iv) a bi-phasic force response to electroporation that coincides with actin cytoskeleton remodeling. Cells on suspended fibers can withstand higher electric field abuse, which opens opportunities to deliver cargo of varying sizes inside the cell. Taken altogether, our findings provide new mechanobiological understanding of cell-fiber interactions at high spatiotemporal resolution impacting cell migration, division and nuclear mechanics-key behaviors in the study of pathophysiology. / Doctor of Philosophy / Cancer, one of the major pathophysiological conditions, progresses within the living body through spreading of malignant cells from the primary tumor to distant secondary sites, ultimately leading to life-ending outcomes. Such spreading of cancer also known as cancer metastasis requires mechanical interactions of cells with their immediately surrounding microenvironment or the extracellular matrix (ECM). Cells utilize their cytoskeleton, a dynamic internal network of filamentous proteins, to adopt various morphologies, exert mechanical forces and physically remodel their local environment as they navigate through the highly fibrous native ECM. While previous research has elucidated how biochemical factors and bulk matrix properties regulate such cytoskeletal organization and single cell behavior, our understanding of how cells adapt to fibrous environments and respond to local biophysical cues like fiber diameter, spacing, alignment and stiffness remains in infancy. Here we use the non -electrospinning Spinneret tunable engineered parameters (STEP) to generate suspended nanofiber networks of tunable geometric and mechanical properties to mimic the native cellular environment. We discover that cells elongated within these ECM-mimicking environments utilize a unique cytoskeletal caging structure to regulate the shape and response of their nuclei in a fiber -diameter and organization-dependent manner. Additionally, we demonstrate that these elongated cell morphologies often observed during metastatic cancer cell movements, is achievable not only in aligned fibers but can also be induced by dense networks of fibers in a crossing organization. Specifically, such dense crosshatch networks allow cells to migrate persistently at high speeds while cells on sparsely spaced networks demonstrate slower and random movements. As cells elongated during interphase rounded up to undergo division, we find that the underlying fiber-geometry modulates mitotic dynamics through differential levels of actin retraction fiber-mediated stability, leading to significant alterations in orientation of mitotic machinery and mitotic spindle defects. Finally, we utilize these mechanobiological insights on cytoskeletal organization and cell shape control to optimize intracellular delivery of cargo using high-voltage electric fields. We demonstrate suspended cells are capable of withstanding higher electric fields and identify multistage cell contractility recovery dynamics, which correlate with cytoskeletal disruption and reassembly. Taken altogether, our findings provide a comprehensive understanding of the fibrous ECM-mediated regulation of the cytoskeletal organization and its impact in cell migration, division and nuclear mechanics. Knowledge obtained from this study will improve our understanding of cancer metastasis and provide predictive data for in vivo cellular response, essential for cytoskeleton-targeting cancer therapies.