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2026

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An Analysis Of Diet Sustainability Among Different Dietary Patterns In The Portuguese Adult And Elderly Population, Mariana Rei, Áine Burke, Sadhbh O’Shea, Annemarie E. Bennett, John M. Kearney, Sara S.P. Rodrigues Jan 2026

An Analysis Of Diet Sustainability Among Different Dietary Patterns In The Portuguese Adult And Elderly Population, Mariana Rei, Áine Burke, Sadhbh O’Shea, Annemarie E. Bennett, John M. Kearney, Sara S.P. Rodrigues

Research Outputs: 2025-Present

Purpose: Dietary patterns influence human and environmental health. Shifts toward convenience and ready-to-eat ultra-processed foods have contributed to the rising prevalence of malnutrition, chronic disease, and ecological harm. This study examined the associations between dietary patterns and diet sustainability among Portuguese adults. Methods: Data from 2287 individuals aged 18–84 years were obtained from the last National Food, Nutrition, and Physical Activity Survey (2015–2016). Three dietary patterns were identified based on food composition and processing: Traditional, Diet Concerns, and Unhealthy; while four dietary patterns were categorized according to food preparation location: At home by themselves, At home by relatives or friends, …

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How Low Can We Go? Quantization Effects On Llm Sparql Generation, Matt Murtagh-White, P. J. Wall, Declan O’Sullivan Jan 2026

How Low Can We Go? Quantization Effects On Llm Sparql Generation, Matt Murtagh-White, P. J. Wall, Declan O’Sullivan

Research Outputs: 2025-Present

SPARQL is a powerful but complex language for querying knowledge graphs, motivating research into natural language-to-SPARQL generation using large language models (LLMs). While large, proprietary LLMs excel at this task, their resource requirements can limit practical deployment. This paper evaluates smaller, open-source LLMs (0.5B–9B parameters) with quantization methods (8-bit and 4-bit compression) to balance computational efficiency and query generation performance. Our findings demonstrate that 8-bit quantization can maintain or enhance performance in smaller models, whereas 4-bit quantization leads to notable degradation, especially for larger models. This highlights the potential of quantized, smaller LLMs for SPARQL generation in resource-constrained scenarios and …

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Alignment Of The Planetary Health Diet With Pregnancy Dietary Guidelines: Insights From Two Cohorts, Aoife Davis, Sophie Callanan, Gillian A. Corbett, Eileen C. O’Brien, Alexander Douglass, Fionnuala M. Mcauliffe Jan 2026

Alignment Of The Planetary Health Diet With Pregnancy Dietary Guidelines: Insights From Two Cohorts, Aoife Davis, Sophie Callanan, Gillian A. Corbett, Eileen C. O’Brien, Alexander Douglass, Fionnuala M. Mcauliffe

Research Outputs: 2025-Present

The Planetary Health Diet (PHD) is a mostly plant-based diet that aims to optimise human health whilst minimising the environmental impact of food production. Limited data exists on whether the PHD fulfils key nutritional requirements during pregnancy. This research aimed to examine the PHD in early pregnancy and how it aligns with daily nutrient intake and European Food Safety Authority (EFSA) dietary guidelines. Pregnant women (n=678) from two Irish cohorts (ROLO and MicrobeMom) were analysed. Dietary intakes in early pregnancy were determined using a 3-day food diary and used to calculate PHD Index (PHDI) scores. Women were dichotomised by the …

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Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty Using A Fuzzy Multi-Objective Optimization Framework For The Battery Industry, Mahdi Yousefi Nejad Attari, Sahar Rezanejad, Ali Ala, Vladimir Simic, Dragan Pamucar Jan 2026

Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty Using A Fuzzy Multi-Objective Optimization Framework For The Battery Industry, Mahdi Yousefi Nejad Attari, Sahar Rezanejad, Ali Ala, Vladimir Simic, Dragan Pamucar

Research Outputs: 2025-Present

The study presents a sustainable closed-loop supply chain network that integrates financial, environmental, and social objectives within a context of uncertainty. A fuzzy-based modeling approach is introduced to address uncertainty in customer demand, cost parameters, and carbon emission coefficients across the sustainable closed-loop supply chain network. Two metaheuristic methods, the non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective particle swarm optimization (MOPSO), are employed to address the problem and are compared against each other. A practical case study of a battery company is employed to validate the framework. The findings indicate that MOPSO surpasses non-dominated sorting genetic algorithm II in …

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Application Of Healthcare Data Mining Techniques To Planning For Nursing Length Of Stay In Surgical Departments, Mahdi Yousefi Nejad Attari, Akbar Abbaspour Ghadim, Ali Ala, Vladimir Simic, Domonkos Tinka, Dragan Pamucar Jan 2026

Application Of Healthcare Data Mining Techniques To Planning For Nursing Length Of Stay In Surgical Departments, Mahdi Yousefi Nejad Attari, Akbar Abbaspour Ghadim, Ali Ala, Vladimir Simic, Domonkos Tinka, Dragan Pamucar

Research Outputs: 2025-Present

Effective allocation of nurse resources in surgical departments is essential for improving patient care and controlling operating costs in a health society. Length of stay (LOS) is the metric that connects clinical workload to staffing decisions, yet ward-level forecasting and its translation into daily nursing schedules remain limited. This study presents a hybrid, data-driven decision-support system that combines machine-learning LOS prediction with Reinforcement Learning (RL) for the surgical ward. A dataset of 137,145 records is used to evaluate Random Forest, Gradient Boosting, Decision Tree, and a Multi-layer Perceptron. Random Forest achieved the most accurate and stable performance (R² = 0.84; …

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Study Investigating The Thermal Behavior Of An Atmospheric Pressure Plasma Jet On Conductive And Nonconductive Mesh Surfaces, James Lalor, Tristan Orlic, Vladimir Milosavljevic Jan 2026

Study Investigating The Thermal Behavior Of An Atmospheric Pressure Plasma Jet On Conductive And Nonconductive Mesh Surfaces, James Lalor, Tristan Orlic, Vladimir Milosavljevic

Research Outputs: 2025-Present

This study investigates the thermal behavior of conductive and nonconductive mesh substrates during exposure to a custom built atmospheric pressure plasma jet (APPJ). The jet operates using a coaxial dielectric barrier discharge configuration with a novel gas diffusing dielectric core. It is powered by a high frequency AC source operating at 21 kHz with a 33% duty cycle. The surface temperature was recorded in real time using a calibrated FLIR i7 infrared camera, a method increasingly used in plasma thermal studies for its noninvasive mapping of heat transfer. The following three parameters were varied: working gas (argon or helium), jet …

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Explainability In Action: A Metric-Driven Assessment Of Local Explanations For Healthcare Tabular Models, M. Atif Qureshi, Abdul Aziz Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, Arjumand Younus, Wael Rashwan Jan 2026

Explainability In Action: A Metric-Driven Assessment Of Local Explanations For Healthcare Tabular Models, M. Atif Qureshi, Abdul Aziz Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, Arjumand Younus, Wael Rashwan

Research Outputs: 2025-Present

Explainable AI (XAI) is increasingly used in clinical machine learning, yet quantitative evaluation of explanation quality is often reported inconsistently across methods and datasets. We present a reproducible, metric-driven framework for evaluating XAI methods on healthcare tabular data. The framework consolidates six established, family-specific metrics, fidelity, simplicity, consistency, robustness, precision, and coverage, into explicit equations; pairs them with a pre-specified focal-model protocol; and releases open-source code with a method-metric applicability map. We evaluate LIME, SHAP, Anchors, EBM, and TabNet across four public healthcare tabular datasets. Post-hoc explainers are applied to a single selected Random Forest focal predictor to control model-induced …

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Optimization Of Probiotic Beverage Made From Sohiong Fruit Using Response Surface Methodology And Artificial Neural Network–Genetic Algorithm Hybrid Model, Roshiya Nongmaithem, Raju Sasikumar, Irengbam Barun Mangang, T. Selva Kumar, Kambhampati Vivek, Amit K. Jaiswal Jan 2026

Optimization Of Probiotic Beverage Made From Sohiong Fruit Using Response Surface Methodology And Artificial Neural Network–Genetic Algorithm Hybrid Model, Roshiya Nongmaithem, Raju Sasikumar, Irengbam Barun Mangang, T. Selva Kumar, Kambhampati Vivek, Amit K. Jaiswal

Research Outputs: 2025-Present

In this study, a probiotic beverage from Sohiong (Prunus nepalensis), an underutilized wild edible fruit rich in phenolics and anthocyanins, was optimized using both Response Surface Methodology (RSM) and an Artificial Neural Network–Genetic Algorithm (ANN–GA) hybrid model. Plackett–Burman screening identified temperature, strain, and inoculum size as significant variables influencing antioxidant response. Subsequent optimization using a Box–Behnken design yielded maximum DPPH scavenging activity of 71.55%, with enhanced total phenolic content (TPC) of 160.00 mg GAE per g, total anthocyanin content (TAC) of 227.85 mg C3GE per 100 mL, and total flavonoid content (TFC) of 183.96 mg QE per 100 mL. The …

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Using “Big Data” And Non-Linear Machine Learning To Infer Groundwater Contamination Mechanisms Across A Spatially Extensive, Geologically Heterogeneous Region, Ioan Petculescu, Anna Majury, R. Stephen Brown, Kevin Mcdermott, Paul Hynds Jan 2026

Using “Big Data” And Non-Linear Machine Learning To Infer Groundwater Contamination Mechanisms Across A Spatially Extensive, Geologically Heterogeneous Region, Ioan Petculescu, Anna Majury, R. Stephen Brown, Kevin Mcdermott, Paul Hynds

Research Outputs: 2025-Present

Groundwater accounts for approximately 98% of available freshwater, with >2 billion people relying on it as a primary drinking water source. Notwithstanding its importance, specific groundwater quality parameters - namely microbial concentrations and non-Escherichia coli coliforms (NEC) - remain understudied. The current study sought to address this gap by modelling three distinct Contamination Indices (CI) corresponding to E. coli concentration, NEC concentration, and the NEC:E. coli concentration ratio. CIs were developed for south Ontario (115,693 km2) using ∼1 million samples from ∼290,000 wells collected between 2010 and 2021. To permit modelling, CIs were linked to 50 subregion-specific variables …

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Impact Of Protein Corona Morphology On Nanoparticle Diffusion In Biological Fluids: Insights From A Mesoscale Approach, Beatrice Cipriani, Hender Lopez Jan 2026

Impact Of Protein Corona Morphology On Nanoparticle Diffusion In Biological Fluids: Insights From A Mesoscale Approach, Beatrice Cipriani, Hender Lopez

Research Outputs: 2025-Present

Nanoparticles (NPs) demonstrate considerable potential in medical applications, including targeted drug delivery and diagnostic probes. However, their efficacy depends on their ability to navigate through the complex biological environments inside living organisms. In such environments, NPs interact with a dense mixture of biomolecules, which can reduce their mobility and hinder diffusion. Understanding the factors influencing NP diffusion in these environments is key to improving nanomedicine design and predicting toxicological effects. In this study, we propose a computational approach to model NP diffusion in crowded environments. We introduce a mesoscale model that accounts for the combined effects of the protein corona …

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Physique Development And Management Shape Experiences Of Low Energy Availability Risk In Elite Professional Male Rugby Union Players, Gary Sweeney, Siobhain Mcardle, Nessan Costello, Kieran Collins Jan 2026

Physique Development And Management Shape Experiences Of Low Energy Availability Risk In Elite Professional Male Rugby Union Players, Gary Sweeney, Siobhain Mcardle, Nessan Costello, Kieran Collins

Research Outputs: 2025-Present

This study aimed to explore elite male rugby union players’ perceptions and lived experiences of physique development and management in relation to low energy availability risk. Semi-structured interviews (29 ± 8 min) were conducted with 18 players (senior: n = 9; academy: n = 9; mean age: 23 ± 3) across four professional rugby union clubs in Ireland. Through reflexive thematic analysis, the following themes were constructed. Players had limited awareness of low energy availability, yet described experiences consistent with symptoms, including fatigue, low mood and reduced libido. A pervasive physique culture, characterised by body composition ‘ideals’ and weight or …

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Development Of An Active Crosslinked Nanocomposite Film Based On Gelatin-Ethyl Cellulose, Trans-Cinnamaldehyde, And Silver Nanoparticles For The Preservation Of Sliced Meat, Elham Sarmast, Shiv Shankar, Stephane Salmieri, Sahra Amel Rahmouni, Monique Lacroix Jan 2026

Development Of An Active Crosslinked Nanocomposite Film Based On Gelatin-Ethyl Cellulose, Trans-Cinnamaldehyde, And Silver Nanoparticles For The Preservation Of Sliced Meat, Elham Sarmast, Shiv Shankar, Stephane Salmieri, Sahra Amel Rahmouni, Monique Lacroix

Research Outputs: 2025-Present

This study aimed to develop a novel bioactive biobased packaging film combining gelatin (G) and ethyl cellulose (EC), cardanol and glycerol as plasticizers, trans-cinnamaldehyde (TCA) as a crosslinker/bioactive compound, and silver nanoparticles (AgNPs) as bioactive agents. The degree of crosslinking, mechanical and thermal properties, water solubility (WS), and water vapor permeability (WVP) of the films were analyzed. Molecular interactions within the film matrix were determined by FTIR spectroscopy. The G-EC film, in a 1:2 weight ratio, exhibited improved physicochemical properties compared to the pure G film, with a low WS (7.8%). The incorporation of TCA and AgNPs—to form bioactive nanocomposite …

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Utilising Dairy And Whisky Manufacture By-Products For Microalgal Lipids Production, Bozena Mccarthy, Nissreen Abu-Ghannam, Graham O'Neill Jan 2026

Utilising Dairy And Whisky Manufacture By-Products For Microalgal Lipids Production, Bozena Mccarthy, Nissreen Abu-Ghannam, Graham O'Neill

Research Outputs: 2025-Present

Microalgae are increasingly recognised as a renewable and sustainable source of both unsaturated and saturated fatty acids (SFAs), offering a viable alternative to traditional animal fats and plant oils. By-products of food production, such as whey from cheese production andDSG obtained from whiskey production, were found to be nutrient-dense streams and have potential for valorisation. Both whey and DSG were found to contain varied concentrations of nutrients, especially nitrate, phosphate and sugars and were shown to support microalgal growth and production of various fatty acids. C. vulgaris achieved 4.27 ± 0.31 g/L biomass when grown in whey. It also outperformed …

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Exploration Of Best Practice Of Market Surveillance And Type Approval Of Internal Combustion Engines Emissions For Non-Road Mobile Machinery (Examine_Nrmm), Rita Hagan, Eoin Mcgillicuddy, Aoife Donnelly Jan 2026

Exploration Of Best Practice Of Market Surveillance And Type Approval Of Internal Combustion Engines Emissions For Non-Road Mobile Machinery (Examine_Nrmm), Rita Hagan, Eoin Mcgillicuddy, Aoife Donnelly

Research Outputs: 2025-Present

This study examines market surveillance methods for engines in non-road mobile machinery (NRMM) in selected European Union (EU) Member States and the UK, to inform the development of an Irish NRMM market surveillance process in accordance with Regulation (EU) 2016/1628. The research found NRMM market surveillance approaches vary across Europe, with no uniform market surveillance strategy in place. Some countries, including Ireland, are currently developing an approach, while other countries have no set process in place. In countries, with an existing strategy, the process can be proactive, reactive or a combination of both.Findings highlight opportunities for Ireland to design a …

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Dc - Pure Test2 Researchoutput, Frances Madden Jan 2026

Dc - Pure Test2 Researchoutput, Frances Madden

Research Outputs: 2025-Present

No abstract provided.

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Understanding The Epigenetic Landscape Of Barrett's Esophagus And Esophageal Cancer: A Review Of Current Findings, Caveats And Future Directions, Louise Lawless, Trevor Doherty, Carla Surlis, Niamh Gilmartin, Therese M. Murphy Jan 2026

Understanding The Epigenetic Landscape Of Barrett's Esophagus And Esophageal Cancer: A Review Of Current Findings, Caveats And Future Directions, Louise Lawless, Trevor Doherty, Carla Surlis, Niamh Gilmartin, Therese M. Murphy

Research Outputs: 2025-Present

Esophageal cancer (OC) is currently the eighth most common form of cancer worldwide with a 5-year survival rate of 10%–20%, with the primary risk factor of esophageal adenocarcinoma (OAC) being the development of Barrett's Esophagus (BO). Despite its clinical significance, the molecular pathogenesis underlying both BO and OC is not well understood. In recent years, epigenetic dysregulation, particularly aberrant DNA methylation, has emerged as a critical area of investigation, given its potential utility in the identification of diagnostic, prognostic, and therapeutic biomarkers. This review examines the evolving epigenetic landscape of esophageal cancer, including a focus on its origins in BO …

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Mitigating Interruptions In Digital Reading: Strategic Pauses And Note-Taking For Enhanced Cognitive Performance, Naile Hacioglu, Maria Chiara Leva, Nakyung Kim, Hyowon Lee Jan 2026

Mitigating Interruptions In Digital Reading: Strategic Pauses And Note-Taking For Enhanced Cognitive Performance, Naile Hacioglu, Maria Chiara Leva, Nakyung Kim, Hyowon Lee

Research Outputs: 2025-Present

This study investigates how structured interventions—specifically pausing at natural breakpoints and guided note-taking—affect cognitive performance, memory retention, and task continuity in digital reading. We introduce SmartPause, a context-aware bookmarking system that nudges users to pause at meaningful points and externalise insights through lightweight notes. In a controlled experiment (N = 51), participants were assigned to one of three conditions: (1) interruption at an arbitrary point, (2) guided pause at a natural breakpoint, or (3) guided pause with note-taking. Results reveal that guided pauses, particularly when combined with note-taking, significantly enhance long-term memory retention while having no measurable impact on perceived …

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A Comparative Analysis Of The Efficacy, Safety And Mechanism Of Action Of Flebogamma Dif, Fostamatinib And Romiplostim In Immune Thrombocytopenia, Mary Akinyemi, Kamna Ravi, Furong Tian, Baljit Singh Jan 2026

A Comparative Analysis Of The Efficacy, Safety And Mechanism Of Action Of Flebogamma Dif, Fostamatinib And Romiplostim In Immune Thrombocytopenia, Mary Akinyemi, Kamna Ravi, Furong Tian, Baljit Singh

Research Outputs: 2025-Present

Immune thrombocytopenia (ITP) is an autoimmune disorder characterized by immune-mediated platelet destruction, resulting in a platelet count below 100 × 109/L and an increased risk of bleeding complications that significantly impair quality of life. Despite advances in ITP management, the unpredictable and heterogeneous nature of the disease continues to challenge treatment selection. This review compares the efficacy, safety, and mechanisms of action of Fostamatinib, Flebogamma DIF, and Romiplostim in adult and pediatric ITP patients. Peer-reviewed studies published over the past 20 years, including randomized and non-randomized clinical trials, observational studies, and real-world evidence, were screened for relevance, with …

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Biochemical Processes, Chemical Compositions, And Nutrient Profiles Of Germinated Barley Grains After Steeping With Thiolated And Aminated Spent Brewer's Yeast Hydrolysates, Elahe Abedi, Brian Gibson, Philip C. Wietstock Jan 2026

Biochemical Processes, Chemical Compositions, And Nutrient Profiles Of Germinated Barley Grains After Steeping With Thiolated And Aminated Spent Brewer's Yeast Hydrolysates, Elahe Abedi, Brian Gibson, Philip C. Wietstock

Research Outputs: 2025-Present

The present study investigated the effect of steeping solution containing a thiol- and amino-functionalization of hydrolyzed brewers' spent yeast hydrolysate (HBSY) on the enzymatic and nutritional profile of germinated barley. Thiol- and amino-functionalized HBSY (GSN) resulted in significantly elevated activities of α-amylase (35.5 U/g), β-amylase (41.2 U/g), protease (29.9 U/g), cysteine protease (12.6 U/g), lipase (4.8 U/g), and phytase (3.4 U/g) compared to control samples germinated in water (GW) (α-amylase: 23.5 U/g; β-amylase: 12.4 U/g; protease: 8.4 U/g; cysteine protease: 2.6 U/g; lipase: 2.1 U/g; phytase: 1.06 U/g). Higher cysteine protease activity was associated with increased β-amylase activity, consistent with …

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Sustainable Remediation Of Antibiotic Contaminants Using Engineered Biochar And Composite Materials, Arvind Kumar, Prerna Sunar, Duraisamy Ramamoorthy, Swapnamoy Dutta, Ravikant Verma, Km Smriti Jaiswal, Krishna Kumar Jaiswal, Vinod Kumar, Amit K. Jaiswal, Mahaveer D. Kurkuri Jan 2026

Sustainable Remediation Of Antibiotic Contaminants Using Engineered Biochar And Composite Materials, Arvind Kumar, Prerna Sunar, Duraisamy Ramamoorthy, Swapnamoy Dutta, Ravikant Verma, Km Smriti Jaiswal, Krishna Kumar Jaiswal, Vinod Kumar, Amit K. Jaiswal, Mahaveer D. Kurkuri

Research Outputs: 2025-Present

Antibiotic contamination is a growing global crisis due to widespread use and unregulated disposal, contributing to the proliferation of antibiotic-resistant microbes and ecological risks. This review critically evaluates antibiotic contamination and its impact on the environment and human health. Biochar and modified biochar modulate antibiotic resistance gene (ARG) dynamics and the destruction of ARG transfer. Optimization of biochar properties includes surface chemistry, structure, synthesis process, and surface engineering to enhance antibiotic adsorption and degradation. Therefore, a comprehensive evaluation of biochar and modified biochar for the adsorption and degradation of different antibiotics under diverse water and soil chemistry conditions is needed. …

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Human-Centered Evaluation Of Control And Perception Interface Factors In A Teleoperational Cutting Task, Inês F. Ramos, Keerthi Sagar, Philip Long, Maria Chiara Leva, Ernesto Damiani, Gabriele Gianini Jan 2026

Human-Centered Evaluation Of Control And Perception Interface Factors In A Teleoperational Cutting Task, Inês F. Ramos, Keerthi Sagar, Philip Long, Maria Chiara Leva, Ernesto Damiani, Gabriele Gianini

Research Outputs: 2025-Present

Despite significant advances in teleoperated systems, optimal human performance remains a challenging task due to one key aspect, i.e. reduced situational awareness. Active telepresence is one of the major contributing factors affecting operator’s situational awareness. Providing the user with multiple perspectives of the remote environment can be very beneficial, although it may also introduce challenges in maintaining effective control. Prior work has largely examined discrete manipulation tasks using single-modality assessments, whereas this study applies a multimodal neuroergonomic approach to a continuous precision-cutting task, providing first insights into control–view alignment and multi-camera perception effects. In this work, we focus on two …

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Decision Support Impact And Error Prediction In Control Room: A Behavioural Data Analysis, Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Anders L. Madsen, Maria Chiara Leva Jan 2026

Decision Support Impact And Error Prediction In Control Room: A Behavioural Data Analysis, Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Anders L. Madsen, Maria Chiara Leva

Research Outputs: 2025-Present

Data from psychophysiological measures can offer new insight into control room operators’ behaviour, cognition, and mental workload status. This is particularly helpful when assessing capacity to respond to critical plant conditions such as alarm response scenarios. However, wearable tools such as eye tracking and electroencephalography caps can be perceived as intrusive and unsuitable for daily operations. Therefore, this article examines the potential of using real-time data from process and operator-system interactions during abnormal scenarios, recorded and retrieved from the distributed control system’s historian or process log, to provide insight into operator behaviour and predict their response outcomes without intruding on …

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Valorisation Of Barley Straw For Sustainable Nanocellulose Production Via Subcritical Alkaline Hydrolysis And Hdes-Assisted Processing, Dileswar Pradhan, Swarna Jaiswal, Brijesh K. Tiwari, Amit K. Jaiswal Jan 2026

Valorisation Of Barley Straw For Sustainable Nanocellulose Production Via Subcritical Alkaline Hydrolysis And Hdes-Assisted Processing, Dileswar Pradhan, Swarna Jaiswal, Brijesh K. Tiwari, Amit K. Jaiswal

Research Outputs: 2025-Present

This study investigates a sustainable and efficient approach to valorising barley straw by producing nanocellulose via an integrated subcritical alkaline hydrolysis and HDES-assisted processing pathway. Subcritical alkaline pretreatment under best processing conditions (150 bar, 200 °C, 125 min) enabled effective biomass fractionation, achieving average hemicellulose and lignin solubilisation of 57.72% and 82.69%, respectively. Subsequent purification of the pretreated solid fraction yielded cellulose fibres with an average cellulose yield of 41.97% and a purity of 87.87%. Nanocellulose was then obtained using a sequential HDES treatment followed by high-intensity ultrasound (HIUS), producing a sample (NC-BTW-3) in which 66% of particles exhibited diameters …

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Inorganic Nanoparticle-Bacteria Interaction Systems: Mechanistic, Functional And Agricultural Applications, Gouri Nilakshika Atapattu, Michelle Giltrap, Furong Tian Jan 2026

Inorganic Nanoparticle-Bacteria Interaction Systems: Mechanistic, Functional And Agricultural Applications, Gouri Nilakshika Atapattu, Michelle Giltrap, Furong Tian

Research Outputs: 2025-Present

BackgroundInorganic nanoparticles (NPs) are capable of interacting with bacteria. Due to this interaction, the cell exterior and interior of bacteria maybe altered. As a result, bacterial growth inhibition might occur due to the antimicrobial properties exerted by inorganic nanoparticles. Inorganic nanomaterials with antimicrobial activity have been discussed within the literature under the food, pharmaceutical, biomedicine and agriculture sectors. Currently, nanoparticle-mediated control of plant bacterial pathogens is advancing in agriculture.AimThis review aims to highlight the potential of bacteria-inorganic nanoparticle systems in agriculture and how they may yield agricultural benefits beyond antimicrobial activity.MethodsWe analysed literature published between 2020 and 2024 on how …

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Multifunctional Nanomaterials Coupled With Ai-Based Optimization For Advanced Wastewater Treatment, Ananya Tiwari, Isha Dharsandia, Shreedhar Tiwari, Gajendra Singh Vishwakarma, Budhi Sagar Tiwari, Narendra Kumar, Amit K. Jaiswal Jan 2026

Multifunctional Nanomaterials Coupled With Ai-Based Optimization For Advanced Wastewater Treatment, Ananya Tiwari, Isha Dharsandia, Shreedhar Tiwari, Gajendra Singh Vishwakarma, Budhi Sagar Tiwari, Narendra Kumar, Amit K. Jaiswal

Research Outputs: 2025-Present

Conventional wastewater treatment performs reliably against routine contaminants but remains inconsistent for complex industrial effluents and for emerging pollutants such as pharmaceutical residues, per- and polyfluoroalkyl substances and micro/nano plastics. Engineered nanomaterials and artificial intelligence (AI)/machine learning (ML) have each been reviewed extensively, but predominantly in isolation. The present review is distinguished from existing reviews in three specific respects. First, the nanomaterial-AI interface is treated as the unit of analysis rather than the two fields being surveyed in parallel: AI-guided material selection, dosing and pH control, membrane fouling prediction, nano sensor-assisted monitoring and regeneration scheduling are examined together. Second, evidence …

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Thermophilic Microorganisms For Bioremediation Of Industrial Pollutants Including Hydrocarbons And Heavy Metals, Isha Dharsandia, Narendra Kumar, Ananya Tiwari, Amit K. Jaiswal Jan 2026

Thermophilic Microorganisms For Bioremediation Of Industrial Pollutants Including Hydrocarbons And Heavy Metals, Isha Dharsandia, Narendra Kumar, Ananya Tiwari, Amit K. Jaiswal

Research Outputs: 2025-Present

Industrialization and urbanization have led to the constant discharge of hazardous pollutants such as effluents, hydrocarbons, and heavy metals, which pose a grave threat to ecological balance and human beings' well-being. Traditional physiochemical techniques for the treatment of environmental pollutants are energy-intensive, expensive, and inefficient in extreme environments. Hence, there is a need to explore alternative strategies to address the above problems. Thermophiles are microorganisms that grow in high temperatures, and they have recently been regarded as viable sources for bioremediation due to their metabolic resilience, enzyme stability, and resistance to industrial conditions. The current paper presents an in-depth literature …

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Investigation Of Different Aeration Strategies For The Production Of Kombucha With Defined Co-Cultures, Marie Ludszuweit, Leon Bender, Gayatri Mehta, Martin Hageböck, Brian Gibson, Martin Senz Jan 2026

Investigation Of Different Aeration Strategies For The Production Of Kombucha With Defined Co-Cultures, Marie Ludszuweit, Leon Bender, Gayatri Mehta, Martin Hageböck, Brian Gibson, Martin Senz

Research Outputs: 2025-Present

Kombucha fermentation is a complex process influenced by many different process parameters and the dynamics of the microorganisms present. Since no universally established standards exist for large-scale production of kombucha, manufacturers still need to acquire the knowledge to establish controllable and reproducible processes. The aim of this study was to investigate the extent to which the kombucha fermentation process can be influenced by varying the oxygenation regime and the initial pH value. For this purpose, co-culture fermentations with the yeast Zygosaccharomyces bailii and the acetic acid bacterium Komagataeibacter hansenii were carried out under defined conditions, varying the type and intensity …

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Biogenic Chitosan-Encapsulated Cu/Zno Nanocomposite Surface Coating Inhibits Mdr Pseudomonas Aeruginosa Biofilm Establishment On Orthopedic Implants, Bushra Uzair, Zukhra Abbasi, Fehmida Fasim, Shoaib Alam, Apori Samuel Obeng, Furong Tian Jan 2026

Biogenic Chitosan-Encapsulated Cu/Zno Nanocomposite Surface Coating Inhibits Mdr Pseudomonas Aeruginosa Biofilm Establishment On Orthopedic Implants, Bushra Uzair, Zukhra Abbasi, Fehmida Fasim, Shoaib Alam, Apori Samuel Obeng, Furong Tian

Research Outputs: 2025-Present

Orthopedic implant-associated infections (IAIs), predominantly caused by Pseudomonas aeruginosa, represent a major clinical challenge due to antibiotic resistance and biofilm formation, which together contribute to their chronic nature. This research presents a biogenic biofilm-resistant chitosan encapsulated Cu/ZnO nanocoating (CS-Cu/ZnO NC) synthesized using Euphorbia thymofolia metabolites and applied on orthopedic implant surface (Tubular bone locked stainless steel plates). The synthesized CS-Cu/ZnO NCs were characterized physicochemically (UV–Vis, FTIR, XRD, SEM) and biologically (antibacterial, antibiofilm, antivirulence, hemolysis and cytotoxicity). Microstructural analysis using UV–Visible Spectroscopy (UV–Vis), X-ray diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy (SEM) confirmed the successful synthesis, crystallinity …

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Finger Millet Extract Powder As A Sustainable Route To Enhanced Fermentation And Functional Quality In Cereal Food, Lavanya Manivannan, Ravikumar Rajarathinam, Raju Sasikumar, Amit K. Jaiswal Jan 2026

Finger Millet Extract Powder As A Sustainable Route To Enhanced Fermentation And Functional Quality In Cereal Food, Lavanya Manivannan, Ravikumar Rajarathinam, Raju Sasikumar, Amit K. Jaiswal

Research Outputs: 2025-Present

Finger millet (Eleusine coracana), a climate-resilient cereal, offers a sustainable substrate for fermented foods. This study investigates the use of finger millet extract (FME) powder as a value-addition strategy in batter fermentation. Finger millet–black gram and FME powder with black gram blends were naturally fermented separately for 12 hours at a ratio of 3 : 1. In order to comprehend the impact of FME incorporation on fermentation performance and product quality, the study compared the physicochemical, biochemical, microbiological, and rheological characteristics of fermented finger millet (FM) batter with those of FME batter. FME incorporation hastened fermentation, reflected by steeper drops …

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Editorial: Food Safety In The Context Of One Health: Current Trends, Challenges And Perspectives, Daniel Ekhlas, Yosra A. Helmy, Federica Savini, Arturo B. Soro, Elena Alexandra Alexa Jan 2026

Editorial: Food Safety In The Context Of One Health: Current Trends, Challenges And Perspectives, Daniel Ekhlas, Yosra A. Helmy, Federica Savini, Arturo B. Soro, Elena Alexandra Alexa

Research Outputs: 2025-Present

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