Browsing by Author "Leighton, Glenn"

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    Data for the paper "A Straightforward Route to Sensory Device Selection for IoT Systems"
    (Cranfield University, 2018-07-31 11:15) Jones, Paul; Lonne, Quentin; De Almeida Talaia, Pedro; Leighton, Glenn; G. Botte, Gerardine; Mutnuri, Srikanth; Williams, Leon
    Paper abstract: The Internet of Things allows for remote management and monitoring of many aspects of everyday life at the individual and industrial levels. However, designing these systems within constraints of cost and operational context can be a real challenge. The sensor network must be strategically designed, which means selecting the most appropriate sensors to collect a specific measurement in a specific environment and then optimizing their deployment and utilization. To facilitate sensor selection, we propose a straightforward, color-coded, three-sieve selection tool and demonstrate the efficacy of this method through real-life exemplars. The selection tool could be applied to other kinds of technologies, as well.
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    ItemOpen Access
    Metallic nano carrier complex targeting neuroendocrine prostate cancer
    (Cranfield University, 2019-05-09 10:33) Hemben, Aver; Chianella, Iva; Leighton, Glenn
    Poster presented at Cranfield University’s 2019 Manufacturing Doctoral Community event.
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    ItemOpen Access
    Metallic nanocarrier complex targeting neuroendocrine prostate cancel cells.
    (2022-09) Hemben, Aver; Chianella, Iva; Leighton, Glenn
    Iron oxide nanoparticles were successfully produced by inert gas condensation using the Mantis NanoGen Trio system. The nanoparticles were produced via a novel approach using the Physical Vapour Deposition (PVD) method to condense iron oxide nanoparticles of small size and small size distribution of 1-6 nm diameter. The sputtered nanoparticles were soft-landed on a polyethylene glycol-coated silicon wafer, then dispersed in RNAse free water (PEG-IONPs) to functionalise them for biocompatibility and use in nanocarrier synthesis. The sputtered iron oxide nanoparticles were characterised by transmission electron microscopy, atomic force microscopy, nanoparticle tracking analysis, dynamic light scattering and magnetic resonance imaging. The different techniques demonstrated that whereas the IONPs themselves were less than 10 nm (seen by TEM) the PEG-IONPs demonstrated a size range slightly different according to the technique used for its evaluation (e.g.47 ± 22.75 nm by DLS and 143 ± 100 nm by NTA) with the variation most likely due to the high concentration of PEG present in solution. In parallel to sputtering IONPs, commercial iron oxide nanoparticles (CIONPs) were used to demonstrate and optimise the attachment of a therapeutic drug (siRNA) to the nanoparticles in 1:1 polyethylene glycol and polyethyleneimine. Then the release profile of the attached siRNA from CIONPs in PBS buffer pH 6.4 and 7.4 was studied. While using a sample of PBS/PEG/PEI, approximately 75% of siRNA was attached to CIONPs and approximately 86% siRNA was released in PBS after 300 minutes of incubation at 37°C. The research findings demonstrate the potential use of the synthesised nanoparticles and nanocarrier complex in targeted drug deliver to neuroendocrine prostate cells.
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    PEO-based polymer blend electrolyte for composite structural battery
    (Taylor and Francis, 2023-02-22) Gucci, Francesco; Grasso, Marzio; Shaw, Christopher; Leighton, Glenn; Marchante Rodriguez, Veronica
    High mechanical strength and ionic conductivity of solid-state electrolyte (SSE) are currently conflicting targets that are very difficult to achieve. Polyethylene oxide (PEO) is one of the most common polymers adopted for SSE because of its very high ionic conductivity, but its mechanical strength is very low. This work discusses the manufacturing and testing of PEO blends using polysulfone (PSf) and Lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) to assess the mechanical response under microtensile testing and the ionic conductivity with electrochemical impedance spectroscopy (EIS). Mechanical tests demonstrated a beneficial effect of LiTFSI with significant increase in maximum stress and ductility measured as strain at failure. The blending of PEO and PSf showed promising conductivity values at room temperature with the 90–10 PEO-PSf composition achieving the highest value (1.06 × 10−6 S/cm) and for the 70–30 composition achieving the highest maximum stress (3.5 MPa) with a conductivity of 3.12 × 10−7 S/cm.