Digital Commons Network^™

Tourism Destination Mobile Applications: An Ai-Human Loop Analysis And Future Research Programme, Arghavan Hadinejad, Naser Pourazad, Lara Stocchi, Violetta Wilk

Research outputs 2022 to 2026

Despite the rise in destination mobile applications (apps) and their significance in the tourism sector, there remains a notable dearth of critical assessments of knowledge on the topic, which is necessary to guide future academic and industry endeavours. To bridge the gap, this research conducts a systematic review to synthesise scholarly knowledge on tourism destination mobile apps. The analysis reveals topical clusters including prototyping and scoping, consolidation, and forecasting and further technological advancements between 2009 and 2023. The existing scholarship is predominantly quantitative and atheoretical, with the Technology Acceptance Model being the most frequently applied framework. The findings reveal four …

A Novel Deep Transfer Learning-Based Adaptive Cascade Pi Controller Enhanced By Reinforcement Learning Algorithm And Snake Optimization For Robust Speed Regulation Of Brushless Dc Motors, Seyyed Morteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

Brushless DC (BLDC) are common in electric cars, industrial automation, and robotics because of their high efficiency, high torque control, and compact size. Nevertheless, strong speed and current regulation is not easily attained because of system variation, load variations and the shortcomings of traditional fixed-gain proportional-integral (PI) controllers. In this paper, a new snake optimization-assisted deep transfer learning-based reinforcement learning (SOA-DTL-RL)-based adaptive cascade PI controller is proposed that combines transfer learning with fast adaptation, Reinforcement learning with real-time optimization, and snake optimization with optimal initial gain selection to guarantee the robust speed and current regulation in BLDC motors. The proposed …

Applying Fsqca, Nca And Nconfa In Tourism Research, S. Mostafa Rasoolimanesh

Research outputs 2022 to 2026

No abstract provided.

Association Of Sarcopenic Obesity With Dementia Risk In A Cohort Of Older Women, Zhongyang Guan, Blossom C.M. Stephan, Lorenzo M. Donini, Joshua R. Lewis, Carla M. Prado, Richard L. Prince, David Scott, Kun Zhu, Marc Sim, Mario Siervo

Research outputs 2022 to 2026

Background and aims: Longitudinal studies have explored the association between sarcopenic obesity (SO) and the risk of cognitive impairment, yet findings remain mixed. This study aimed to investigate the associations of SO with risk of incident dementia in older women, using two diagnostic models: the Sarcopenic Obesity Global Leadership Initiative (SOGLI) and the load-capacity model. Methods: We analysed data from 900 community-dwelling women (aged ≥70 years). SO was defined using two models: (1) the SOGLI criteria, based on low handgrip strength (HGS), low appendicular lean soft tissue to body weight (ALST/W) ratio, and high fat mass percentage (%FM); and (2) …

Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …

Can Dual-Task High-Velocity Exercise Training Improve Cognitive Function In Older Adults? Secondary Analysis Of An 18-Month Cluster Randomized Controlled Trial, Jamie L. Tait, Rachel L. Duckham, Timo Rantalainen, Catherine M. Milte, Luana C. Main, Caryl A. Nowson, Kerrie M. Sanders, Dennis R. Taaffe, Keith D. Hill, Gavin Abbott, Robin M. Daly

Research outputs 2022 to 2026

Background Identifying strategies to mitigate age-associated cognitive decline is crucial. High-velocity power training enhances physical function in older adults and cognitive training has mixed cognitive benefits, however the combined effects of these interventions remain uncertain. Objective This 18-month cluster randomized controlled trial investigated whether dual-task functional power training (DT-FPT) enhances cognition in older adults and assessed if responses differ by apolipoprotein-E and brain-derived neurotrophic factor (BDNF) polymorphisms. Subjects and Methods Twenty-two independent-living retirement communities (300 residents, ≥65y at increased falls risk) were randomized to 12-months of group-based DT-FPT (6-months supervised +6-months maintenance, 45–60 minutes, 2/week) performed simultaneously with cognitive and/or …

Check-In To Sustainability: A Comparative Study Of Green Human Resource Management Practices In Emerging And Established Hotels, Abdul Razak Suleman, Mehran Nejati, Janice Redmond, Azadeh Shafaei

Research outputs 2022 to 2026

Purpose – This study draws on the Natural Resource-Based View (NRBV) to investigate the drivers, implementation and challenges of Green Human Resource Management (Green HRM) practices in Ghana's star-rated hotels. It also examines how these initiatives contribute to achieving relevant Sustainable Development Goals (SDGs). Design/methodology/approach – A qualitative research approach was adopted, involving in-depth interviews with twelve managerial employees purposively sampled from both emerging (1–2 star) and established (3–5 star) hotels in Ghana. Data were thematically analysed to uncover key patterns. Findings – The findings reveal that Green HRM adoption across star-rated hotels in Ghana is driven by a mix …

Circulating Tumor Cells In Uveal Melanoma: Multi-Marker Detection And Association With Disease State, Daniel P. De Bruyn, Fabiana Lucia Bassil, Mike Wu, Aaron B. Beasley, Jolanda Vaarwater, Mai N. Van, Jaco Kraan, Robert M. Verdijk, Dion Paridaens, Caroline M. Van Rij, Nicole C. Naus, Annelies De Klein, Elin S. Gray, Erwin Brosens, Emine Kiliç

Research outputs 2022 to 2026

Purpose. Uveal melanoma (UM) is primarily treated with eye-sparing radiotherapy, leaving limited tumor tissue for molecular analysis. Circulating tumor cells (CTCs) may offer a minimally invasive alternative for genomic tumor profiling. This pilot study evaluated the feasibility of a multi-marker CTC capture approach in UM patients at diagnosis, during fractionated stereotactic radiotherapy (fSRT), and at metastatic progression. Methods. Patients with localized or metastatic UM were prospectively enrolled. Peripheral blood samples were collected at baseline, during fSRT, and on detection of metastases. CTCs were captured and enumerated using a multi-marker approach and fluorescence microscopy. Results. A total of 76 patients were …

Compassionate Communities, Māori Ageing And End-Of-Life: A Systematic Review, Melissa Carey, Kathleen Mason, Levi Fox, Tess Moeke-Maxwell, Merryn Gott

Research outputs 2022 to 2026

Background: Māori people in Aotearoa New Zealand and Australia experience significant healthcare inequity as they age and towards the end of their lives. Compassionate community approaches to ageing and end-of-life care are increasing in popularity throughout the world. However, this approach has arisen from Eurocentric knowledge systems and not from First Nations people and their communities. Objectives: This research aimed to gain insight into what the Compassionate Communities approach means for First Nations people and identify implications for Māori in Aotearoa New Zealand and Australia. A systematic literature review explored the intersection of Compassionate Communities and First Nations peoples’ perspectives …

Decline In Offspring Quantity But Not Quality From Successive Matings In Male Rainforest Drosophila, With No Evidence For Genetic Divergence In Male Mating Behaviour Along Elevational And Density Gradients, Andrew D. Saxon, Eleanor K. O'Brien, Natalie E. Jones, Jon Bridle

Research outputs 2022 to 2026

Fertilisation success is a major component of male fitness, meaning males should capitalise on all opportunities for mating. However, other sources of variation in fitness mean that males often evolve life histories that limit their ability to mate frequently. We quantified mating latency, mating duration, and offspring production in males of the tropical fly Drosophila birchii when presented with up to 4 females consecutively. Males were sourced from isofemale lines from the extremes of 2 elevational gradients (20–1100 m) that show substantial differences in population density, temperature, and humidity. Total offspring sired increased with number of matings achieved, demonstrating substantial …

Effects Of Electroshock Treatment On Microstructure Evolution And Mechanical Properties Of Ti-8al-1mo-1v Alloy, Jian Zhou, Yu Peng Yao, Hong Xin Sun, Chang Liu, Yan Wen, Li Qiang Wang, Lai Chang Zhang, Le Chun Xie, Lin Hua

Research outputs 2022 to 2026

The effect mechanism of electroshock treatment (EST) on microstructure evolution and mechanical property variations of Ti-8Al-1Mo-1V alloy was investigated. The results show that EST results in the phase transformation from the acicular secondary αs to β phase. While the EST time is 0.12 s, the acicular martensitic phase (αM) precipitates. The results of electron backscattered diffraction (EBSD) reveals that the average grain size decreases from 3.95 to 2.53 μm after EST, indicating that the grains are refined, and the significant recrystallization behavior and martensitic transformation occur. The orientation distribution reveals a more uniform distribution of texture, which is caused by …

Effects Of Recreational Football On Body Composition, Cardiometabolic Health, And Functional Performance In Children And Adolescents: A Systematic Review And Meta-Analysis, Yanzhao Lei, Yanmei Ding, Bo Wang, Hengzhi Deng, Mingyue Yin, Kai Xu, Hengxian Liu, Meiling Tao, Yanfeng Li, Yilin Zhang, Yuhang Liu, Fanhao Meng, Hansen Li, Xing Zhang, Bitai Wu

Research outputs 2022 to 2026

Purpose: The systematic review and meta-analysis aimed to evaluate the effects of recreational football on body composition, cardiometabolic health, and functional performance in children and adolescents. Additionally, it explored potential moderators through subgroup analyses. Methods: A systematic search was conducted in six databases in May 2025. A random-effects model was employed for the meta-analysis, and effect sizes were reported as standardized mean differences (SMD, Hedges’ g). Subgroup and sensitivity analyses were conducted to examine sources of heterogeneity. Results: A total of 20 studies (N = 2,906; age range: 8–17 years) were included. Of the participants, 1,524 (52.44%) were male, 1,174 …

Defining Radiological Healing In Perianal Fistulizing Crohn's Disease: A Topclass Global Expert Delphi Consensus, Easan Anand, Jalpa Devi, David H Ballard, Shivani Joshi, Phil Tozer, Ailsa Hart, Anna Antoniou, Parakkal Deepak, Jaap Stoker, Phillip Lung, Topclass Collaborative Authors

2020-Current year OA Pubs

BACKGROUND & AIMS: Perianal fistulising Crohn's disease (pfCD) affects one-fifth of patients with Crohn's disease (CD), significantly affecting their quality of life. Magnetic resonance imaging is the gold standard for evaluating fistula healing in pfCD, but variability in radiological definitions hampers meaningful clinical interpretation and consistent trial design. This study aimed to establish an international consensus on the definition of radiological healing in pfCD.

METHODS: The study was conducted in 2 phases. Phase 1 involved a systematic review to identify magnetic resonance imaging-based variables and indices used to define healing in pfCD, assessing methodological quality using the COnsensus-based Standards for …

Embodied Tales Of Older Women And Their Relationship With Movement And Their Younger, Present And Future Selves, Valeria Varea, Robyne Garrett, Alfonso García-Monge, Gustavo González-Calvo

Research outputs 2022 to 2026

Ageing has been often seen as negative in Western cultures. Older bodies are frequently associated with decline, loss, dependency, illness and increasing incompetence. Significantly, this ‘decline model’ of ageing tends to ignore the diverse lived experiences of older adults. This paper draws on the theoretical concepts of embodiment and affect to explore the embodied experiences of a group of 17 older women, focussing on their relationship with movement and with their younger, present and future selves. We used a narrative analysis approach and creative nonfiction to represent the data. The findings are presented in composite narratives in the form of …

Employer Perspectives On Professional Identity And Its Role In Graduate Recruitment, Denise Jackson, Michael Tomlinson

Research outputs 2022 to 2026

Practice and theory on graduate employability continues to recognise the importance of professional identity (PI) as a key determinant of individuals perceived and realised worth in the labour market. However, studies are predominantly from student, graduate and academic perspectives with little exploration of employers’ perceptions on PI and its importance for graduates’ acculturation into practice and workplace outcomes. Accordingly, we explored employer perspectives on what PI means and what it signals during graduate recruitment. Using closed and open response questions, we gathered survey data from 339 employers closely involved in recruiting, developing, supervising and performance managing graduates in Australia. We …

Experimental Investigation And Performance Optimization Of A Double Slope Solar Still Integrated With Nanoparticles In Phase Change Materials, Pronob Das, Md Shahriar Mohtasim, Utpol K. Paul, Md Sanowar Hossain, Barun K. Das, Anik Saha, Md Golam Kibria

Research outputs 2022 to 2026

By utilizing solar energy for desalination, solar stills offer a sustainable and cost-effective means of providing fresh drinking water in remote and arid regions. Existing studies have primarily focused on improving freshwater productivity while considering economic and environmental feasibility. The present work offers an in-depth assessment of solar still (SS) systems by analyzing energy and exergy performance, exergoeconomic factors (energy-economic factor, exergoeconomic factor, and cost of water), environmental impacts (CO2 emissions, exergo-environmental factor, and carbon credit gained), and sustainability indicators (energy payback time and sustainability index). Five different cases were examined: (I) a conventional solar still (CSS), (II) CSS with …

Exploring The Mechanisms Of Tanshinone Iia In The Treatment Of Intracranial Aneurysm Based On Network Pharmacology And Machine Learning, Wanqi Wang, Lois Balmer, Shaotao Weng

Research outputs 2022 to 2026

Background Intracranial aneurysm (IA) is a cerebrovascular disease with high mortality and limited treatment options. Tanshinone IIA (Tan IIA), a bioactive compound from Salvia miltiorrhiza , has shown vascular protective effects, but its mechanism in the treatment of IA remains unclear. Methods The GSE75436 dataset was used to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) was performed to identify disease-related modules. IA targets were obtained from GeneCards and the Comparative Toxicogenomics Database (CTD). Potential targets of Tan IIA were predicted using TCMSP, SwissTargetPrediction, and SymMap. KEGG enrichment analysis was conducted for DEGs, WGCNA modules, disease-related genes, …

Fall Prevention Strategies And Fall-Related Outcome Measures Used For Inpatients In Mental Health Settings: A Scoping Review, Min Zhang, Gideon Di Ji, Irene Ngune, Khairul Dzakirin Bin Rusli, Maggie Zgambo, Rosemary Saunders, Seng Giap Marcus Ang

Research outputs 2022 to 2026

Introduction Patients in mental health settings are at risk of falling and sustaining injury due to the unique risk factors related to their mental illness and its accompanied treatment. Objective To examine the literature on the fall prevention strategies used, and fall-related outcome measures reported for inpatients in mental health settings. Methods A literature search was conducted using Medline, CINAHL, PsycINFO, Web of Science, Scopus and sources from the Grey Literatures. Peer-reviewed research studies that examined fall prevention strategies for inpatients in mental health settings were included. The fall prevention strategies and fall-related outcome measures were extracted and grouped using …

Functional Data Analysis Of Vertical Barbell Acceleration During The Pull Of The Power Clean, Tsuyoshi Nagatani, Shayne Vial, Kristina L. Kendall, Paul Comfort, G. Gregory Haff

Research outputs 2022 to 2026

The purpose of this study was to examine the relationship between vertical barbell acceleration patterns and power clean performance. Thirty strength-power athletes performed a one repetition maximum (1RM) power clean test, recording vertical barbell acceleration data from their heaviest successful lifts. This data was then analysed using functional principal component (fPC) analysis methods. Three vertical barbell acceleration patterns were extracted, with each primarily reflecting variations in the magnitude of vertical barbell acceleration during the second pull (fPC1), the transition (fPC2), and the first pull (fPC3). Additionally, two fPCs were extracted from displacement fields, which explain timing variations in barbell acceleration …

Gut Microbial Composition And Short-Chain Fatty Acid Metabolism In Cognitively Unimpaired Adults Stratified By Amyloid-Β Status, D. M.Sithara Dissanayaka, Thilini N. Jayasinghe, Hamid R. Sohrabi, Stephanie R. Rainey-Smith, Kevin Taddei, Colin L. Masters, Ralph N. Martins, W. M.A.D.Binosha Fernando

Research outputs 2022 to 2026

Short-chain fatty acids (SCFAs) produced by gut microbial fermentation influence host metabolism and neuroinflammatory processes implicated in Alzheimer’s disease (AD). However, the relationship between fecal SCFAs, microbial taxa, and cerebral amyloid-β (Aβ) burden in cognitively unimpaired individuals remains unclear. Fecal SCFAs were quantified using GC-MS, and microbial species were profiled by shotgun metagenomics in 87 participants. Associations between SCFAs, demographics, APOE ε4 status, and Aβ burden were tested using nonparametric statistics and multivariable regression. Microbial–SCFA links were evaluated using Spearman correlations and multivariate ordinations, with mediation analysis exploring potential indirect pathways. Acetate was the predominant SCFA and demonstrated the most …

Insights Into Site Fidelity Of A Low-Density Dugong Population Using Small-Drone Imagery And Photo-Identification, Roxana Newman, Ashwag Asseri, William David Paterson, Deni Porej, Harry Clark, Mishari Alghrair, Winston Cowie, David Charles Wells, Amanda Jane Hodgson

Research outputs 2022 to 2026

The feasibility of using unoccupied aerial vehicles (UAVs, ‘drones’) to collect high-resolution still and video imagery of dugongs (Dugong dugon) for photo-identification (photo-ID) in the Sindalah Archipelago, NEOM (area ~ 84 km²), within the northeast Red Sea, Saudi Arabia, was evaluated during opportunistic marine megafauna searches. Drone searches were conducted whenever possible over one year (January 2024 to January 2025). A total of 48 dugong observations were made during 91 days of drone flights, covering a cumulative distance of 5,962 km of flying. Of these, 35 (72.9%) were repeat sightings (range = 2 to 8 resights) of nine …

Love Letters To The Self: Building Heart Skills Through Positive Autoethnography, Madalena Grobbelaar, Elizabeth Reid Boyd

Research outputs 2022 to 2026

This article is an enquiry between two educators, one from social science and the other from counselling psychology, exploring how Positive Autoethnography can be applied in both teaching and therapeutic contexts. An exploration by co-founders of #Love@ECU, a research initiative at Edith Cowan University (ECU) in Western Australia, the piece investigates the intersection of emotional learning and educational practice through the emerging framework of Heart Skills, an original format currently used in teaching interpersonal skills at ECU. It integrates personal narrative, embodied experience and emotional insight to consider how student growth and resilience can be cultivated. Central to this exploration …

Optimising Vaginal Microbiome Profiling For Clinical Translation: A Comparative Assessment Of Sample Storage Methods And A Vagina-Specific 16s Rrna Gene Database, Alishum Ali, Jeffrey A. Keelan, Blagica Penova-Veselinovic, Morten E. Allentoft, Michael Bunce, Claus T. Christophersen

Research outputs 2022 to 2026

Vaginal microbiome composition has been linked to risk of preterm birth (PTB), a persistent global health challenge. 16S rRNA microbial profiling has identified specific vaginal community state types (CSTs) that have been associated with PTB risk. Diagnostic profiling requires standardised pre-analytical protocols. We evaluated two storage methods and validated a curated, vagina-specific 16S rRNA gene database (VagDB) to enhance annotation. Paired Copan FLOQ swabs from 22 women at high PTB risk were processed for either (a) dry/immediate freezing or (b) Amies-stabilisation/refrigeration. Amplicon sequence variants were generated via 16S rRNA gene (V4) PCR and Illumina sequencing. We assessed diversity, composition, and …

Optimizing Ev Battery Charging Using Fuzzy Logic In The Presence Of Uncertainties And Unknown Parameters, Minhaz Uddin Ahmed, Md Ohirul Qays, Stefan Lachowicz, Parvez Mahmud

Research outputs 2022 to 2026

The growing use of electric vehicles (EVs) creates challenges in designing charging systems that are smart, dependable, and efficient, especially when environmental conditions change. This research proposes a fuzzy-logic-based PID control strategy integrated into a photovoltaic (PV) powered EV charging system to address uncertainties such as fluctuating solar irradiance, grid instability, and dynamic load demands. A MATLAB-R2023a/Simulink-R2023a model was developed to simulate the charging process using real-time adaptive control. The fuzzy logic controller (FLC) automatically updates the PID gains by evaluating the error and how quickly the error is changing. This adaptive approach enables efficient voltage regulation and improved system …

Paternal Age Is Associated With Offspring Bone Health—But Not Soft Tissue Composition Or Fracture: The Vitamin D In Pregnancy Study, Mia A. Percival, Kara B. Anderson, Julie A. Pasco, Marc Sim, Sarah M. Hosking, John D. Wark, Natalie K. Hyde

Research outputs 2022 to 2026

Summary: Emerging evidence suggests that paternal health may be associated with offspring later life heath. In this study, advanced paternal age at childbirth was associated with poorer offspring bone mineral density and content at age 11 years. These findings suggest that paternal age may impact childhood musculoskeletal development, warranting further investigation. Introduction: Maternal health during pregnancy is known to impact offspring’s later life health. However, emerging evidence suggests that paternal factors may also be important. Advanced paternal age is associated with poorer offspring outcomes, yet few studies assess musculoskeletal outcomes. This study investigated the association between paternal age at childbirth …

Praxis: The Missing Theory To Practice Link In Maximising Early Childhood Science Opportunities, Pauline Roberts, Patricia R. Collins

Research outputs 2022 to 2026

Science teaching in early years contexts has been identified as deficient due to poor educator confidence, lack of content knowledge, or minimal opportunities being made available for science experiences. To identify strategies to counteract these factors, this study explored how these deficiencies are enacted in learning contexts by examining the beliefs and practices of educators across three early learning sites. The focus of this study was threefold: to gather the perception of educators in relation to early childhood science; explore the learning environments; and observe the interactions facilitated by the educators to develop scientific knowledge and skills for young children. …

Predictors Of Quality Of Family Planning Counselling In Ethiopia: Multilevel Analysis Of The Spa Survey 2021/22, Kalayu Brhane Mruts, Tesfay Brhane Gebremariam, Amanuel Tesfay Gebremedhin

Research outputs 2022 to 2026

Background: High-quality family planning (FP) counselling is essential for informed contraceptive choice, reducing discontinuation, and improving reproductive health. However, many women in sub-Saharan Africa continue to face barriers. This study examined client-, provider-, and facility-level determinants of FP counselling quality in Ethiopia using nationally representative, multi-source data. Methods: We analysed data from the 2021/22 Ethiopia Service Provision Assessment, including 2,224 women who received or were prescribed injectables, pills, or implants. Counselling quality was assessed using a 15-item checklist derived from direct observations and client exit interviews. Multilevel ordinal logistic regression was applied to identify predictors at the client-, provider-, and …

Professional Development To Inspire, Support, And Extend Stem-Related Learning, Somayeh Ba Akhlagh, Asma Hulayyil Aljohani, Maryam Jamal Alharthi, Nahla Mahmoud Gahwaji, Nouf Mohammed Albadi, Marianne Knaus

Research outputs 2022 to 2026

The success of STEM education in early childhood education is reliant on the pedagogical practices of teachers. Effective teaching of STEM requires specific knowledge of the four disciplines of STEM, appropriate teaching and learning methods and relevant experiences. In Saudi Arabia the teaching of STEM is a relatively new field, and this paper outlines a research project to promote the teaching and learning of STEM through professional development workshops. The research is informed by Vygotsky’s cultural-historical/socio-cultural theory, acknowledging the crucial role of social interaction and cultural context in a collaborative learning environment. To evaluate the project, a mixed methods approach …

Psychological Needs And Wellbeing In Community Music Education For Young People Experiencing Challenging Life Circumstances, Jason Goopy, Stephanie Macarthur

Research outputs 2022 to 2026

Improving the wellbeing of young people is an international priority. Community music education programs (CMEPs) are increasingly recognized as an empowering environment for participants to learn healthy life strategies in addition to music. This qualitative case study used the theoretical lens of Self-Determination Theory (SDT) to investigate how a CMEP in regional Australia satisfied the psychological needs and enhanced the wellbeing of adolescents and young adults experiencing challenging life circumstances. The CMEP offered free afternoon programs where learning music, particularly songwriting, was used as a transformative resource to engage youth in formal life education. Entry to the program was available …

Rapid Classification And Quality Assessment Of Citrus Essential Oils Via Machine-Learning-Assisted Raman Spectroscopy, Yong Xuan Hong, Jia Wei Tang, Jie Chen, Yun Yun Xie, Zhang Wen Ma, Qing Hua Liu, Liang Wang

Research outputs 2022 to 2026

Citrus essential oils (EOs) require accurate identification and assessment to ensure authenticity and consistency. However, conventional techniques such as gas chromatography (GC) and mass spectrometry (MS) are time-consuming and expensive, highlighting the need for novel analytical methods. This study proposes an approach for EOs detection using Raman spectroscopy (RS) combined with machine learning (ML) algorithms. Six citrus EOs underwent an evaporation experiment, with Raman spectra collected at five time points and GC-MS was used to analyze compositional changes at the starting and ending points of evaporation as a standard reference. Five ML algorithms were developed to identify differences among EOs …