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diagnostics, empirical antibiotic use is common, exacerbating resistance. This project aims to develop a next-generation lateral flow assay (LFA) platform for rapid, ultrasensitive detection of RTI pathogens
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(SONATA, EP/V028626/1) and brings together expertise in microfluidics, fluid dynamics, nanoparticle engineering, and dental microbiology. Approach and Methods: Engineer in vitro models of bacterial biofilm
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). Design and fabricate patterned surfaces optimised for enzyme immobilisation. Assess synergistic antibiofilm efficacy under static and dynamic (flow-based) biofilm models. Apply advanced microscopy, protein
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
the environment and the lack of routine monitoring tools. Current methods for measuring antibiotic concentrations, such as HPLC and mass spectrometry, are expensive and require complex instrumentation, limiting
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implant failure and limb amputation. Current antimicrobial coatings often rely on antibiotics or metallic agents, which may contribute to antimicrobial resistance (AMR) or cytotoxicity. This project aims
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). While mRNA vaccines have demonstrated rapid development and high efficacy, current formulations primarily protect against severe disease rather than preventing infection at mucosal entry points
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together I) microfluidic/flow-based nanoparticle synthesis, which underpins modern nanoparticle drug delivery systems including the Pfizer–BioNTech COVID-19 vaccine, together with II) high-throughput
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propagate through bacterial communities while deactivating AMR genes. However, current designs are limited by scalability and complexity. This project aims to overcome these limitations by integrating large
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principles molecular dynamics simulations. You will contribute to the development of novel work flows as well as to the training, testing and application of latest neural network methodologies. Applications