Digital Commons Network^™

Assessment Of Patient Knowledge And Awareness Of Prosthodontics For Student And Patient Education And Communication, Mijin Choi D.D.S., M.S., M.B.A., Facp, Tejal Gohil B.D.S., Cristina Osorio D.D.S., Hannah Jeong, Thomas S. Giugliano D.D.S.

The New York State Dental Journal

This study evaluates patient understanding of the scope of prosthodontic treatments. Utilizing an 11-question survey, 149 patients at a postgraduate prosthodontic clinic were queried. Data analysis included frequency summaries, cross-tabulations and Pearson Chi-square tests. Results showed 68.4% of respondents knew about the role of prosthodontists. Their main concerns were improving chewing (43.9%) and smile (42.6%), varying by age. While many recognized prosthodontists’ scope, cosmetic and complex dental treatments were less well known as prosthodontic specialties. This highlights a gap in patient awareness regarding the full range of prosthodontic services.

Orofacial Manifestations Of Highly Active Antiretroviral Therapy (Haart) And Pre-Exposure Prophylaxis (Prep): Implications For Dental Care And Guidelines For Management, Alec Donelian, Yuedi Yu, Ezzard Rolle Dds, Alison Newgard Dds

The New York State Dental Journal

HAART and PrEP have demonstrated reduction of HIV-related mortality and HIV infection, respectively. A range of orofacial side effects has been associated with both HAART and PrEP. As PrEP usage has increased, there has also been an increase in sexually transmitted infections that have orofacial symptoms. As oral health-care providers, it is important that we recognize these orofacial side effects and symptoms. Further, we offer clinical recommendations for dental professionals treating patients who are on either HAART or PrEP and their associated risk factors.

Landscape Of Cancer Associated Epcam Mutations: Molecular Modeling, Predictive Insights And Impact On Patient Survival, Priyanka S Dhotare, Audrey C Bochi-Layec, Timothy P Fleming, William E Gillanders, Ross M Bremner, Kailas D Sonawane, Narendra V Sankpal

2020-Current year OA Pubs

BACKGROUND: EpCAM (epithelial cell adhesion molecule) is a key regulator of epithelial cell-cell adhesion, signal transduction, tissue regeneration, and serves as a stem cell marker. It is frequently overexpressed in epithelial cancers and is linked to tumor progression, survival, and metastasis. However, the functional impact of EpCAM mutations in cancer remains poorly understood.

METHODS: To investigate the role of EpCAM mutations, we performed a comprehensive analysis of cancer cohorts from multiple genomic datasets, identifying novel somatic EpCAM mutations across diverse epithelial cancers. Using bioinformatics tools (SIFT, PolyPhen-2, Mutation Assessor) and molecular modeling, we assessed the potential impact of these mutations. …

Racial And Ethnic Factors And Opioid Use Disorder Treatment After An Emergency Department Visit, Edouard Coupet Jr., Marek C. Chawarski, Kavari Hercules, Joseph L. Williams, Alexandra Murphy Ward, Patricia H. Owens, David A. Fiellin, Kathryn F. Hawk, Shara H. Martel, Gail D'Onofrio

Student Publications

Importance: There are racial and ethnic disparities in opioid use disorder (OUD) treatment engagement during and after emergency department (ED) encounters.

Objective: To identify patterns of barriers and facilitators to treatment engagement after an ED visit among Black, Hispanic, and White individuals with OUD.

Design, setting, and participants: This qualitative study was conducted from June 2023 to May 2024 using in-depth semistructured individual telephone interviews. Participants with OUD were previously enrolled in a multisite study comparing 2 formulations of buprenorphine in ED patients with untreated OUD on treatment engagement.

Exposures: A diagnosis of moderate-to-severe OUD and a visit to an …

Adapt-Marketplace - A Web-Application For Xml-Based Template Sharing In Radiation Oncology, Dennis N Stanley, Joseph Harms, Gaurav N Rathi, Joel A Pogue, Ritish Nedunoori, John B Fiveash, Richard A Popple, Carlos E Cardenas

2020-Current year OA Pubs

PURPOSE: The adaption of radiotherapy (RT) plans in response to anatomical and physiological changes during treatment marks a significant shift toward personalized cancer care. However, the complexity of Online Adaptive Radiotherapy (OART) procedures often leads to variability in treatment quality across institutions. The development of planning templates, particularly through the Ethos treatment planning system (TPS) and Intelligent Optimization Engine (IOE) (Varian Medical Systems, Palo Alto, CA), plays a crucial role in standardizing and streamlining OART. To address the challenges of sharing and optimizing treatment templates across diverse clinical environments, we developed the ADaptive rAdiotherapy Planning Template (ADAPT-) Marketplace to facilitate …

Cardiac Transplantation Does Not Improve Exercise Tolerance, Muscle Mass, Or Substrate Metabolism In Barth Syndrome, W Todd Cade, Kathryn L Bohnert, Linda R Peterson, Lisa De Las Fuentes, Emily Poehlein, Cynthia L Green, Christina A Pacak, Barry J Byrne, Dominic N Reeds, Adil Bashir, Brian Feingold, Carolyn Taylor

2020-Current year OA Pubs

Barth syndrome (BTHS) is a rare X-linked recessive disorder characterized by mutations in the TAFAZZIN gene, leading to mitochondrial dysfunction, cardioskeletal myopathy, neutropenia, exercise intolerance, and growth delay. While cardiac transplantation can improve heart function in BTHS patients, the metabolic effects of this procedure remain poorly understood. This study aimed to compare skeletal muscle morphology, substrate metabolism, energetics, and exercise tolerance in individuals with BTHS who had undergone cardiac transplantation (BTHS-T) versus BTHS patients without transplantation (BTHS-noT) and healthy controls. Six (

Clinical Evaluation Of The Healgen Rapid Covid-19 Antigen Test As A Point-Of-Care Diagnostic Tool, Stephen A Young, Hua Zhang, Jose Rodriguez, David Mishkin, Ward Paine, Li Seyfried, Latisha Hargrove, Dennis L Broyles, Chermaen Lindberg, Anurag Purushothaman, Stacey House

2020-Current year OA Pubs

BACKGROUND: Development of readily available Rapid COVID-19 Antigen tests essential for promptly identifying SARS-CoV2 infection and preventing its spread.

METHODS: This study evaluated the clinical performance of the Healgen Rapid COVID-19 antigen test as a point-of-care diagnostic tool with 806 evaluable subjects who were within 6 days post-symptom onset. The results from the Healgen test were compared to the results from Emergency Use Authorization (EUA) approved SARS-CoV-2 RT-PCR tests.

RESULTS: Out of the 806 evaluable subjects, 140 tested positive and 640 tested negative for SARS-CoV-2 with the Healgen COVID-19 test, showing good agreement with the EUA RT-PCR results. There were …

The Bare Truth Behind A Sore Throat, Jennifer W. Glusman Do, Jamel Mansur Md, Martin E. Anderson, Mallory Logsdon Do

Advocate GME

Introduction/Background: A fully vaccinated 16-year-old female from Mexico with PMH of sinusitis requiring surgery, presented with a three-month history of chronic pharyngitis despite multiple courses of antibiotics, difficulty swallowing, voice changes, fevers, chills, and a 30-pound weight loss. ROS revealed acute-onset worsening throat pain, right-sided headache, ear pain, cough, and biliteral lacrimation. On exam, she was non-toxic, visibly uncomfortable. She had a severely muffled voice, lacrimation, bilateral tonsillar hypertrophy, pseudomembranes on right tonsil/pharynx, and difficulty swallowing thick secretions. Her neck was supple with normal ROM and no tenderness. She saturated well on room air but was tachycardic, had mild hepatosplenomegaly, …

Governing Migration, Producing Skills: Emigration And Education In The Philippines, Yasmin Y. Ortiga, Roderick. Galam

Research Collection School of Social Sciences

This article examines skill as an integral yet understudied aspect of emigration governance. To date, migration studies have mainly focused on how the demand for migrant skills drive people's movements across borders, shaping the conditions for entry into popular destinations in the West. In contrast, less is known as to how skills also shape the way governments manage emigration, pushing would-be migrants to acquire certain capacities well before they leave their countries of origin. Drawing from the case of the Philippines, this article discusses how state agencies have used skills training to dominate specific markets for migrant professionals and demand …

Stockpiling, Forecasting And Protecting Skills: Skilling As Technique Of Preparedness In Times Of Crises, Rebecca Ye, Yasmin Y. Ortiga

Research Collection School of Social Sciences

In this comparative and situational analysis, we examine how nation-states use skilling as a technique of preparedness during crisis moments. By analysing two strategically selected country cases, Singapore and Sweden, during a critical phase of a global pandemic, we identify three techniques: stockpiling, forecasting, and protecting skills, and how these were enacted as a means to perform preparedness. Stockpiling skills was observed to take place as a rapid response; forecasting skills was a technique enacted with a view on the longer-term horizon and protecting skills was mobilised as a short-term future technique, where boundaries were assembled around skilling. While there …

Language Brokering Conditions The Indirect Association Between Mexican‐Origin Adolescents' Academic Discrimination And Educational Expectations, Su Yeong Kim, Yayu Du, Chantal Alvarado, Wei Xiang Sim, Wen Wen, Tianlu Zhang, Jingyi Shen

Research Collection School of Social Sciences

Mexican-origin adolescents, a significant portion of the US Latino population, often experience a decline in educational expectations from early to late adolescence. Contextual factors such as academic discrimination and language brokering for parents may contribute to this decline. This study investigates the indirect effect of academic discrimination experienced in middle school on educational expectations in young adulthood through high school grades and engagement, and the moderating role of language brokering experiences in these relations. Data were collected from 604 Mexican-origin adolescents across four waves from 2012 to 2023. Academic discrimination experiences in middle school were negatively associated with school grades …

Mitigating Regression Faults Induced By Feature Evolution In Deep Learning Systems, Hanmo Yu, Zan Wang, Xuyang Chen, Junjie Chen, Jun Sun, Shuang Liu, Zishuo Dong

Research Collection School Of Computing and Information Systems

Deep learning (DL) systems have been widely utilized across various domains. However, the evolution of DL systems can result in regression faults. In addition to the evolution of DL systems through the incorporation of new data, feature evolution, such as the addition of new features, is also common and can introduce regression faults. In this work, we first investigate the underlying factors that are correlated with regression faults in feature evolution scenarios, i.e., redundancy and contribution shift. Based on our investigation, we propose a novel mitigation approach called FeaProtect, which aims to minimize the impact of these two factors. To …

Position: Trustworthy Ai Agents Require The Integration Of Large Language Models And Formal Methods, Yedi Zhang, Yufan Cai, Xinyue Zuo, Xiaokun Luan, Kailong Wang, Zhe Hou, Yifan Zhang, Zhiyuan Wei, Meng Sun, Jun Sun, Jing Sun, Jin Song Dong

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have emerged as a transformative AI paradigm, profoundly influencing broad aspects of daily life. Despite their remarkable performance, LLMs exhibit a fundamental limitation: hallucination—the tendency to produce misleading outputs that appear plausible. This inherent unreliability poses significant risks, particularly in high-stakes domains where trustworthiness is essential. On the other hand, Formal Methods (FMs), which share foundations with symbolic AI, provide mathematically rigorous techniques for modeling, specifying, reasoning, and verifying the correctness of systems. These methods have been widely employed in mission-critical domains such as aerospace, defense, and cybersecurity. However, the broader adoption of FMs remains constrained …

Advancing Food Nutrition Estimation Via Visual-Ingredient Feature Fusion, Huiyan Qi, Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Nutrition estimation is an important component of promoting healthy eating and mitigating diet-related health risks. Despite advances in tasks such as food classification and ingredient recognition, progress in nutrition estimation is limited due to the lack of datasets with nutritional annotations. To address this issue, we introduce FastFood, a dataset with 84,446 images across 908 fast food categories, featuring ingredient and nutritional annotations. In addition, we propose a new model-agnostic Visual-Ingredient Feature Fusion (VIF2 ) method to enhance nutrition estimation by integrating visual and ingredient features. Ingredient robustness is improved through synonym replacement and resampling strategies during training. The ingredient-aware …

Foodlmm: A Versatile Food Assistant Using Large Multi-Modal Model, Yuehao Yin, Huiyan Qi, Bin Zhu, Jingjing Chen, Yu-Gang Jiang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from satisfactory. This paper proposes FoodLMM, a versatile food assistant based on LMMs with various capabilities, including food recognition, ingredient recognition, recipe generation, nutrition estimation, food segmentation and multi-round conversation. To facilitate FoodLMM to deal with tasks beyond pure text output, we introduce a series of novel task-specific tokens and heads, enabling the model to predict food nutritional values and multiple segmentation masks. We adopt a two-stage training strategy. In the first stage, we utilize multiple …

Repairing Adversarial Texts Through Perturbation, Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong

Research Collection School Of Computing and Information Systems

It is known that neural networks are subject to attacks through adversarial perturbations. Worse yet, such attacks are impossible to eliminate, i.e., the adversarial perturbation is still possible after applying mitigation methods such as adversarial training. Multiple approaches have been developed to detect and reject such adversarial inputs. Rejecting suspicious inputs however may not be always feasible or ideal. First, normal inputs may be rejected due to false alarms generated by the detection algorithm. Second, denial-of-service attacks may be conducted by feeding such systems with adversarial inputs. To address this, in this work, we focus on the text domain and …

An Incentive Mechanism For Privacy Preserved Data Trading With Verifiable Data Disturbance, Man Zhang, Xinghua Li, Bin Luo, Yanbing Ren, Yinbin Miao, Ximeng Liu, Robert H. Deng

Research Collection School Of Computing and Information Systems

To motivate data owners’ (DOs’) trading willingness, the existing incentive mechanisms allow DOs to independently disturb data following data consumer's (DC’s) availability requirement. However, they cannot motivate DOs’ honest disturbance, which is attributed to DOs’ independent disturbance without any supervision. Thus, we implement an incentive mechanism for privacy preserved data trading with verifiable data disturbance where an honest-but-curious disturbance generator (DG) is additionally introduced to supervise DOs’ local disturbance and assist disturbance verification between DOs and DC. Specifically, DG generates the disturbance strategies and secretly distributes to DOs following private information retrieval, guaranteeing DOs's local disturbance's privacy and verifiability with …

Cradle: Empowering Foundation Agents Towards General Computer Control, Weihao Tan, Et. Al.

Research Collection School Of Computing and Information Systems

Despite their success in specific scenarios, existing foundation agents still struggle to generalize across various virtual scenarios, mainly due to the dramatically different encapsulations of environments with manually designed observation and action spaces. To handle this issue, we propose the General Computer Control (GCC) setting to restrict foundation agents to interact with software through the most unified and standardized interface, i.e., using screenshots as input and keyboard and mouse actions as output. We introduce Cradle, a modular and flexible LMM-powered framework, as a preliminary attempt towards GCC. Enhanced by six key modules, Information Gathering, Self-Reflection, Task Inference, Skill Curation, Action …

Increasing The Effectiveness Of Rural, Regional And Remote Food Security Initiatives Through Place-Based Partnerships—A Qualitative Study, Stephanie L. Godrich, Melissa Stoneham, Isabelle Chiera, Jess Doe, Amanda Devine, Emily Humphreys

Research outputs 2022 to 2026

Issue Addressed: This work aimed to understand the ways in which local organisations were working in partnership to support food security action in rural, regional, and remote areas. Methods: Semi-structured interviews were conducted with 101 food security initiative leaders, representing 148 food initiatives within Australia's largest state, Western Australia (WA). A thematic analysis was undertaken using NVivo that indicated a total of 378 partnering organisations worked on the food security initiatives. Results: Organisations partnered to address food security in their regions through coordinated action; community consultation; food/financial donations; funding and grants; on-ground programme and service delivery and physical and human …

Postoperative Care Pathways For Patients Following Coronary Artery Bypass Grafting Surgery: An Observational Study, Dima Nasrawi, Sharon Latimer, Debbie Massey, Brigid M. Gillespie

Research outputs 2022 to 2026

Aims: The aim of this study was to describe the postoperative care pathway, with phase 1 cardiac rehabilitation (CR) delivery, for adult patients following coronary artery bypass grafting (CABG) surgery at one large hospital in Queensland, Australia. Design and methods: This observational study involved structured observations, patient electronic medical record audits, and field notes to gather postoperative data. Four continuous hours of patient and healthcare professional (HCP) observations gathered at 30-min intervals occurred on 12 separate days over a 1-month period (February–March 2023). We observed post-CABG patients and HCPs involved in delivering direct care. Data were gathered on the clinical …

Recruitment And Retention Of Intensive Care Unit Survivors In Follow-Up Studies: A Systematic Review, Beverley Ewens, Vivien Kemp, Yvonne Middlewick, Amanda Towell-Barnard, Lisa Whitehead

Research outputs 2022 to 2026

Background: Engaging intensive care unit survivors in research is challenging. Studies have reported recruitment and attrition rates; details are lacking on retention strategies and attrition. Objective: The aim of this study was to explore barriers and enablers to recruitment and retention in research of people post intensive care discharge. Methods: A convergent mixed-method review using the Joanna Briggs Institute (JBI) methodology considered studies that reported on recruitment, retention, and attrition rates of adult post–intensive care survivors in longitudinal studies. CINAHL Ultimate (CINAHL+), PubMed, Excerpta Medica Database (EMBASE), PsycINFO, Scopus, Proquest Health, and Medical Collection were searched in March 2024 using …

The Effect Of Oral Colchicine And Vitamin K1 On Bone Metabolism In Patients With Diabetes Mellitus: A Post-Hoc Analysis Of A 2 × 2 Factorial Randomized Controlled Trial With 18F-Sodium Fluoride Positron Emission Tomography, Jamie W. Bellinge, Marc Sim, Roslyn J. Francis, Sing Ching Lee, Dick C. Chan, Christian M. Girgis, Gerald F. Watts, Joshua R. Lewis, Carl J. Schultz

Research outputs 2022 to 2026

Purpose: Diabetes mellitus (DM) confers an increased risk of fracture. Fracture risk stratification techniques are imperfect, and preventative therapies are sparse. We aimed to describe features associated with a dysfunctional bone metabolism determined by 18F-Sodium Fluoride Positron Emission Tomography (18F-NaF PET) in patients with DM and test the effects of vitamin K1 and colchicine therapy on vertebral 18F-NaF activity. Methods: This is a post-hoc analysis of a 2 × 2 factorial randomized double-blind placebo-controlled trial. Participants aged 50–80 with DM underwent 18F-NaF PET/CT imaging at baseline, 3 months of therapy with vitamin K1 (10mg/daily) or placebo, and colchicine (0.5 mg/day) …

Atypical Beta Oscillatory Dynamics Are Related To Poor Procedural Learning In Children With Developmental Coordination Disorder, Jarrad A.G. Lum, Kaila M. Hamilton, Li Ann Leow, Welber Marinovic, Ian Fuelscher, Pamela Barhoun, Talitha C. Ford, Aron T. Hill, Samaneh Nahravani, Melissa Kirkovski, Peter G. Enticott, Christian Hyde

Research outputs 2022 to 2026

Procedural learning difficulties are commonly reported in children with developmental coordination disorder (DCD), yet the neural basis of this impairment remains unclear. This study addressed this gap by examining the correlation between cortical oscillatory activity and procedural learning of a sequence of finger movements in children with and without DCD. Participants were 19 children with DCD and 38 typically developing (TD) children, with a mean age of 10 years and 3 months. Children completed the Serial Reaction Time task, a standard measure of procedural learning, during which they unintentionally learned a sequence of finger movements. Electroencephalography (EEG) was continuously recorded …

The Artichoke Model: A Conceptual Framework For Positive Food Environments In Early Childhood Education And Care (Ecec) Settings, Ros Sambell, Audrey Elford, Tori Overstone, Rebecca Byrne, Kirsty Elliott, Sandra Vale, Penelope Love, Lisa Vincze, Leanne Elliston, Fiona Nave, Janny Goris, Emma Esdaile, Amanda Devine

Research outputs 2022 to 2026

The Artichoke Model is a conceptual framework developed to support the understanding of the breadth and influence of food environments in Early Childhood Education and Care (ECEC) settings. It identifies twelve interrelated components spanning food provision, mealtime practices, curriculum integration, staff capacity, family engagement, and systemic enablers such as policy, equity, and environmental sustainability. Represented visually as an artichoke with the child at its centre, the model encourages holistic analysis, recognising that sustainable change requires the interconnected operation of all components, rather than isolated interventions. The Artichoke Model is intended as a tool for researchers, policymakers, and advocates to guide …

A Perspective Or Review Based Entirely On Low-Quality Evidence Is Simply An Opinion, Matthew S. Tenan, Sophia Nimphius

Research outputs 2022 to 2026

No abstract provided.

Navigating Child Oral Health In Western Australia: A Caregiver's Perspective, Lesley Andrew, Elizabeth Wenden, Mohamed Estai, Ruth Wallace

Research outputs 2022 to 2026

Background: Early childhood caries (ECC) is the most common chronic health condition among Australian preschool-aged children. Untreated, ECC can affect children's physical and emotional health and future social opportunities. ECC is largely preventable through primary caregivers' correct understanding of oral health promoting diets, oral hygiene practices and dental service engagement. The study aim is to explore Western Australian (WA) primary caregivers' child oral health knowledge, experience and practices. The Fisher-Owens socioecological model of child oral health was applied across the study to structure and interpret the findings across the complex, interactive sociocultural influences on child oral health. Methods: The mixed-methods …

Translating Advocacy Into Action: Exploring Oncology Healthcare Professionals’ Awareness And Use Of The Clinical Oncology Society Of Australia Position Statement On Exercise In Cancer Care, Jack Dalla Via, Francesca Cehic, Carolyn J. Peddle-Mcintyre, Christopher R. Andrew, David Mizrahi, Yvonne Zissiadis, Nigel A. Spry, Robert U. Newton, Mary A. Kennedy

Research outputs 2022 to 2026

Purpose: The Clinical Oncology Society of Australia (COSA) position statement on exercise in cancer care encourages all healthcare professionals to discuss, recommend, and refer people with cancer to exercise; however, use of these recommendations in practice is unknown. Methods: Oncology healthcare professionals working in Australia were invited to complete a cross-sectional online survey that assessed contextual factors that influence implementation of COSA exercise guidance in cancer care, based on the Consolidated Framework for Implementation Research. Results: We received 133 survey responses. Most were women (74%), nurses (35%), or oncologists (26%), involved in cancer care for > 10 years (63%), and in …

What Are Safe Hemoglobin, Neutrophil And Platelet Counts For People With Hematological Malignancies To Participate In Exercise And Activities Of Daily Living: A Scoping Review, Joanne L. Houston, Kieran P. Boyd, Paul M. Gittings, Vinicius Cavalheri

Research outputs 2022 to 2026

Purpose: The aim of this scoping review was to summarize the extent of the literature in relation to safe levels of platelet, hemoglobin and neutrophil count for people with hematological cancers to participate in exercise or activities of daily living (ADLs). Methods: A comprehensive search for this scoping review was completed in July 2024 across five databases: the Cochrane Library, Embase, PEDro, PubMed and OTSeeker. Original studies, reviews and expert opinion papers were included if they focused on people with active hematological cancer diagnoses or those undergoing treatment affecting bone marrow, and referenced safe levels of platelet, hemoglobin and neutrophil …

A Cross-Sectional Examination Of Missed Infection Control Practices Among Nurses In The Jordanian Hospitals, Muhammad Ahmed Alshyyab, Rania Ali Albsoul, Gerard Fitzgerald, Diana Arabiat

Research outputs 2022 to 2026

Background: Missed infection control practices may negatively impact quality healthcare and patient safety in acute health care settings. Hence, more research is urgently needed especially in Arab countries. To investigate the elements and reasons of missed infection control activities among nurses in Jordan. The sociodemographic correlates with missed infection control activities were also examined. Methods: A cross sectional design was utilized in this study. A convenience sample of 960 nurses from seven hospitals in the North of Jordan was used. The Missed Nursing Care Infection Prevention and Control (MNCIPC) Survey was employed to collect the data. Data were analyzed using …

Evaluating The Influence Of Carbon Quantum Dots On Starch-Based Bioplastics: Toward Potential Food Packaging Applications, Shima Jafarzadeh, Mitra Golgoli, Zeinab Qazanfarzadeh, Mehrdad Forough, Peng Wu, Wendy Timms, Colin J. Barrow, Minoo Naebe, Masoumeh Zargar

Research outputs 2022 to 2026

Developing biodegradable food packaging films is crucial for reducing dependence on petroleum-based plastics. In this study, nitrogen-doped carbon quantum dots (CDs) were synthesized from citric acid and ethylenediamine via hydrothermal treatment and incorporated into sago starch films at concentrations of 0.5 %, 1 %, 3 %, and 4 % w/w of total solids using a solution casting method. The effects of CDs on structural, thermal, antioxidant, optical, and physicochemical properties were systematically investigated. CD addition enhanced the UV-shielding ability of the films. At 4 % CD content, UV transmittance decreased by 56.4 % (UVA), 66.7 % (UVB), and 73.9 % …