PhD Studentship: Next-Generation Lateral Flow Assays for Rapid Detection of Respiratory Tract Infections and Antimicrobial Resistance

Supervisors:

• Dr Guido Bolognesi Bolognesi Lab website
• Prof Thanh Nguyen

Abstract:

Respiratory tract infections (RTIs) are a leading cause of antibiotic prescriptions globally and a major contributor to antimicrobial resistance (AMR). In the absence of rapid 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 and AMR markers. By integrating plasmonic signal amplification using gold nanostars with a power-free electrokinetic focusing mechanism, the device will enable early-stage detection without the need for external instrumentation. This dual amplification strategy offers a transformative approach to point-of-care diagnostics, with potential to improve antimicrobial stewardship and patient outcomes in community healthcare settings.

Approach and Methods:

• Synthesize gold nanostars with optimised optical and surface properties for enhanced plasmonic signal amplification
• Engineer LFA architectures incorporating salt-gradient-driven diffusiophoretic focusing for power-free analyte concentration
• Integrate nanomaterials and microfluidic components into scalable, user-friendly LFA prototypes
• Validate device performance for rapid, multiplexed detection of RTI pathogens and AMR markers
• Employ characterisation techniques including TEM, XRD, UV-Vis spectroscopy, light scattering, and microscopy

Impact and Outlook:

The project will deliver a novel diagnostic platform capable of detecting respiratory infections and resistance markers at the point of care with unprecedented sensitivity and speed. This technology could significantly reduce inappropriate antibiotic use, support NHS diagnostic capacity, and enhance AMR surveillance in community settings. The platform’s low-cost, power-free design makes it particularly suitable for deployment in resource-limited environments.

Training and Student Development:

The student will gain interdisciplinary training in:

• Nanoparticle synthesis and characterisation
• Colloid and interface science
• Microfluidics and lateral flow assay engineering
• Translational diagnostics and AMR-focused assay development
• Digital image analysis and Python-based data processing

The project includes opportunities for scientific publishing, international conference presentations, and professional development through the supervisors’ extensive networks in academia and industry.

Research Environment:

The project is hosted jointly by the Bolognesi and Nguyen labs, offering a vibrant, interdisciplinary, and supportive environment. Students benefit from regular one-to-one supervision, group meetings, and access to state-of-the-art analytical and fabrication facilities at UCL Chemistry and the Royal Institution. Both supervisors are active in national and international scientific communities, providing excellent networking and career development opportunities.

Desirable Prior Experience:

• Background in chemistry, nanomaterials, biomedical engineering, or related disciplines
• Experience with nanoparticle synthesis, microfluidics, or diagnostic assay development is advantageous
• Interest in translational diagnostics and AMR

How to apply

This project is offered as part of the Centre for Doctoral Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme can be found at AMR CDT webiste  

Applications should be submitted by 12^th January 2026.

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