
PGR Showcase - Poster Presentation Competition 2025
Please take the time to peruse the posters below, submit you questions for the live session at the showcase, and vote for your favourite!
Click on the posters for the full size PDF
Nano-emulsion edible coating to enhance shelf-life, antimicrobial and antioxidant quality of Tomato (Solanum lycopersicum L.)
Aatish Mali
College of Health and Science
Development of Biodegradable Films Incorporated with Plantain Peel-Derived Activated Carbon Nanoparticles for Meat Preservation and Packaging
Anjana Anil
College of Health and Science
Chemical Composition and Antimicrobial Potential of Cinnamon Leaf, Oregano, Thyme and Rosemary Essential Oils: A Study on Natural Agents for Food, Health Applications
Behnaz Azimzadeh
College of Health and Science
In recent years, essential oils (EOs) extracted from various plants have garnered significant attention for their potential as natural antimicrobial and antioxidant agents. This growing interest is fuelled by the global increase in foodborne illness outbreaks, changing consumer preferences away from synthetic additives, and a rising demand for innovative functional foods with potential health benefits. This study aimed to identify the key components and antimicrobial properties of EOs from cinnamon leaf (Cinnamomum zeylanicum) (CEO), oregano (Origanum vulgare) (OEO), thyme (Thymus vulgaris) (TEO) and rosemary (Rosmarinus officinalis (REO). The antimicrobial properties of these EOs were assessed against two bacterial strains (Escherichia coli and Enterococcus faecium) and two fungal strains (Aspergillus Niger and Penicillium Aerogenes) using the agar well diffusion method and clinical antimicrobial concentrations as controls. Chemical composition analysis via GC-MS revealed eugenol as the major compound in CEO (70.4%), with a significant presence of caryophyllene, linalool, β-phellandrene, and copaene. TEO contained thymol (29%) with notable amounts of terpinolene, while OEO showed carvacrol (93%) as the dominant compound, p-cymene, γ-terpinene, thymol, β-pinene, and D-limonene and REO was rich in camphor (8%) with a significant amount of α-Pinene and eucalyptol. Apart from REO, the in vitro study demonstrated strong antimicrobial properties of CEO (31 mm–33 mm), OEO (61.6 mm–38.55 mm), and TEO (40 mm–52.5 mm) against the tested pathogens, based on significantly higher average antibacterial zones compared to ampicillin (3 mm), amoxicillin+clavulanic acid (3 mm), azithromycin (12 mm), cefoxitin (8 mm), trimethoprim/sulfamethoxazole (12 mm), and tetracycline (3 mm). REO exhibited antifungal effectiveness (31 mm-35 mm) but no antibacterial effects. These findings suggest that the active compounds in CEO, OEO, TEO, and REO show promise as effective and economical natural antimicrobial agents, with potential applications across food, health, and environmental sectors.
Shark-Inspired Aerodynamics: Unlocking Passive Drag Reduction with Riblet Surfaces
Callum Jack Bond
College of Health and Science
Investigating the power paradigms in RSHE
Charlie Shaw
College of Arts, Social Sciences and Humanities
Corrosion Mechanisms of Lithium In Liquid Breeder Blankets for Fusion
Cholasit Kaewwichit
College of Health and Science
An exploration of the Bio-based Methods for Extraction, Purfication and Recovery of Lithium Carbonate
Cora Dawson-Jones
College of Health and Science
Einsteinian Gravitational Concepts Throughout Secondary School
Corey McInerney
College of Health and Science
Let’s Play: Supporting designers of Higher Education to create playful learning experiences
David Anderson
College of Arts, Social Sciences and Humanities
Decoding The Recipe Of Wellbeing: Technology And Sustainability In E-Commerce Impulse Buying
Doan Thi My Linh
College of Arts, Social Sciences and Humanities
Exploring Perspectives on the Adequacy of SEND Provision in England: A Mixed-Methods Approach Using TikTok and Survey Data
Ellie Broome
College of Arts, Social Sciences and Humanities
Exploring the professional and academic identity formation of nurses working in higher education
Frances Nicol
College of Arts, Social Sciences and Humanities
A recent rapid literature review identified three themes in relation to the nurses professional and academic identity in higher education; the first being the implications to individual identities due to nursing being categorised as a young academic discipline (Adams 2011), whilst highlighting the complex experience for practitioners in harmonising their dual identities (Lee et al 2022), and finally balancing the concept of imposter syndrome and its impact on identity (Cidlinska et al 2023 and Xu and Barrow 2024). The academic identity of the nurse within a higher education setting is becoming increasingly recognised, Ebert et al (2020) and Brower et al (2022) highlight longstanding intrigue about the meaning of ‘academic’ applied to both discipline and practitioner and recognise its complex nature. Such acknowledgments help to move the discussion on from academic identity being solely focused on tangible and high-quality workings, to recognising its position in a broader professional context. My presentation aims to look at the themes in more detail and prompt debate.
The climate impacts of cinematography and developing a sustainable future for the craft
Jack Shelbourn
College of Arts, Social Sciences and Humanities
Mucoadhesion ability of protein and starch from lotus (Nelumbo nucifera Gaertn.) seeds, relative to milk casein, gelatine and gum Arabic as well-recognized mucoadhesive biopolymers
Jiaxin Zuo
College of Health and Science
This study investigated the mucoadhesive properties of two polysaccharides [lotus seed starch (LS), gum Arabic (GA)] and three proteins [lotus seed protein (LP), casein (CA), and gelatin (G)]. Different In vitro tests were carried-out to study the biopolymer-mucin interactions including mucin adsorption assay, turbidity development over 6 hours, and viscosity increase (“force of bioadhesion”). The free thiol content of proteins was also measured as one of the underlying mechanisms for adhesion. The biopolymers were studied at different concentrations (0.25-1% for polysaccharides and 2-10% for proteins, except G which was studied at 1-5% due to its high gelling capacity). The effect of biopolymer modification on its ability as mucoadhesive was also studied. Proteins underwent thermal treatment (H, 85⁰C/30 min), ultrasounds (US, 50% amplitude at 40⁰C/30 min), or heating followed by ultrasounds (H+US), while polysaccharides were treated with US only. The results showed a descending order of mucoadhesion: GA > LS > CA > G > LP. GA and CA had higher mucin adsorption than LP and LS. Increasing LP concentration decreased mucoadhesion, while CA increased adhesion, peaking at 10% protein content. However, Gelatin showed maximum adhesion at 3%, which declined at higher concentrations; GA and LS had optimal mucin adsorption at 0.5%, with no improvement beyond this concentration. In addition, Casein’s higher thiol content correlated with stronger mucoadhesion. Intact or heat-treated gelatin had high mucoadhesion, unlike US or H+US treatments, which reduced it. However, US treatment increased LS’s ability to bind mucin, while LP showed no significant changes with any treatment. Therefore, these findings suggest the potential for using mucoadhesive biopolymers in food applications to prolong retention time on the mucosa, aiding in salt reduction without compromising taste.
Don’t Forget the Flugelhorn: A Practice-Based Investigation into Flugelhorn Underuse in Classical Music Ensembles
Lauren Hickman
College of Arts, Social Sciences and Humanities
A computational and Experimental study on Methanol synthesis
Matis Ferrini
College of Health and Science
Stronger together: association between multi-drug resistance (MDR) and biofilm forming ability of Salmonella spp. in poultry processing environments
Mona Abdelmaksoud
College of Health and Science
Machine Learning in Data Science: Models, Benefits, and Practical Applications
Nicholas Walton
College of Health and Science
Machine learning has revolutionised data science for the past decade or so, by providing the ability to uncover trends, make predictions, and automate complex tasks. This research examines the role of machine learning in data science, highlighting its ability to predict and forecast. By using the example of predicting house prices, the study evaluates the performance of various machine learning models, including, decision trees and random forests, to showcase their practicality through metric testing, MAE, as well as methods of improving their accuracy.
Decision tree models are regarded as a simple machine learning model, utilising the ‘decision tree’ to ask certain questions/criteria and make predictions based on the answers. Random forests take multiple decision tree models and put them together, to form a forest, giving more accurate predictions.
The study shows the benefits of machine learning modelling in data science, more specifically with handling large datasets. The study also emphasises how these models can be improved with certain tricks such as finding the best amount of leaf nodes for a decision tree and random forest model, as well as the importance of training and testing the model on different datasets.
Predicting house prices is regarded as the simplest example of how machine learning models can integrate diverse features, i.e. the year it was built, property area, No. bedrooms, etc, into actionable predictions. By comparing models using metrics like mean absolute error, the research demonstrates how different machine learning models perform using the same set of data.
This research highlights the potential use of machine learning in data science, offering to students and researchers insight into the types of models, as well as their strengths and weaknesses, ways they can be implemented along with methods to improve and test the models they make.
Investigating the anticancer activity of extracts derived from selected Nigerian medicinal plants
Obika Ogochukwu Immaculate
College of Health and Science
Ebony Eyes- Ivory Towers: Identity Construction for Black Women in Higher Education
Rhianne-Ebony Sterling-Morris
College of Arts, Social Sciences and Humanities
A comparative study of the growth of Pseudomonas fluorescens and other target organisms of interest in Traditional Camembert and Plant-based Cheese
Rose Yaa Amoah Mante
College of Health and Science
Plant-based foods have gained remarkable interest fuelled by the increasing interest in sustainable environmental practices, and consumer preferences towards healthy and ethically mindful food choices. Although studies have revealed diverse microbial communities in plant-based food with potential implications for storage strategies and product shelf-life there is limited data on the ability of these novel products to support microbial growth.
This study aimed to investigate the growth of Pseudomonas fluorescens and other natural flora in plant-based and traditional cheese stored at different storage temperatures. Traditional and plant-based camembert-style cheeses were inoculated with P. fluorescens and stored at 4oC and ambient temperature. The growth and presence of P. fluorescens, lactic acid bacteria, total aerobic bacteria and yeast and moulds were studied over the storage period.
After 10 days both samples stored at room temperature showed higher microbial numbers as compared to those stored at 4oC.
A measure of the Area Under the Curve (AUC) for comparing bacterial growth over time indicated a significant difference between bacterial growth across the different storage temperatures.
A measure of colour for traditional cheese indicated that there was darkening of the cheese when stored at 4°C however the cheese colour was observed to become lighter at room temperature. However, this was not observed for the plant-based cheese. Both cheese types developed yellow and green tones as storage time progressed.
The data gathered helps us understand how different cheeses respond to temperature changes in terms of bacterial growth, crucial for determining optimal storage conditions for food safety and quality.
Compatibility of Decolonised Research Methodologies with Structured PhD Studies
Ruth Christina Roy
College of Arts, Social Sciences and Humanities
The global movement towards decolonising knowledge has prompted a re-evaluation of research methodologies. Decolonised research methodologies challenge the dominance of traditional western paradigms by prioritising inclusivity, intersectionality, contextual relevance and the voices of marginalised communities. These methodologies are increasingly recognised as critical for generating meaningful and transformative knowledge, particularly in addressing complex social issues. However, integrating decolonised methodologies into structured PhD programmes presents distinct challenges due to the rigid frameworks often inherent in doctoral study designs. Structured PhD programmes generally require adherence to predefined research questions, strict timelines and standardised outputs. These formal expectations can conflict with the flexible, iterative and participatory nature of decolonised methodologies as that often demand a deep engagement with local contexts and a willingness to allow the research process to evolve organically. This tension raises questions about how doctoral researchers can balance the institutional constraints of PhD programmes with methodological innovation. The presented poster critically looks into the suitability of decolonised methodologies for structured PhD studies, drawing on existing literature and reflective insights from doctoral research experiences. By investigating the potential for decolonised methodologies within structured PhD studies, this poster aims to lay the ground for deeper reflection on the adaption of academic frameworks to accommodate diverse research paradigms.
ab-initio XAS study of Cu k-edge/L-edge spectra of Cu_phenanthroline_xantphos
Shazma Gilani
College of Health and Science
experimental value of 8979 eV. Additionally, Projected Density of States (PDOS) calculations revealed that the Cu 3d states are primarily responsible for the observed transitions in the XAS results.” Future work will focus on real-time propagation (RTP)-TDDFT calculations to
capture the dynamic electron response of the Cu complex, enabling deeper insights into transient states and time-resolved spectroscopic properties.”