Oriented Electrospun Fibers Of Poly(Pro-Curcumin/Peg) Sequester Reactive Oxygen Species And Promote The Growth Of Schwann Cells,
2026
Missouri University of Science and Technology
Oriented Electrospun Fibers Of Poly(Pro-Curcumin/Peg) Sequester Reactive Oxygen Species And Promote The Growth Of Schwann Cells, Jack W. Devlin, Payton R. O'Connor, Conrad H. Cheung, John T. Leman, Martin Oudega, Edmund F. Palermo, Ryan J. Gilbert
Chemical and Biochemical Engineering Faculty Research & Creative Works
In the biological injury microenvironment, pathologically elevated oxidative stress hinders healthy cell migration. Aligned electrospun fibers are used as tissue engineering scaffolds to support and guide the directionality of cell migration. The ability of cells in the central nervous system to sequester and quench reactive oxygen species is limited, and most electrospun fibers do not exert any antioxidant activity on contact. Thus, the challenge remains in designing a scaffold that can both guide cells to the injury site as well as sequester and quench excess free radicals, allowing cells to thrive and potentially regenerate. Curcumin is a well-known, potent antioxidant, …
Moisture-Induced Degradation And Mechanical Durability Of Mineral-Filled Polylactide (Pla) Composites,
2026
Faculty of Materials Science and Ceramics, AGH University of Krakow, al. Adama Mickiewicza 30, 30-059 Krakow, Poland
Moisture-Induced Degradation And Mechanical Durability Of Mineral-Filled Polylactide (Pla) Composites, Barbara Szaraniec, Aleksandra Ptaszkowska, Alicja Rapacz-Kmita
Journal of Sustainable Construction Materials and Technologies
This study investigates the influence of mineral fillers on the hydrolytic stability and mechanical durability of polylactide (PLA) composites under accelerated aqueous ageing conditions. Composites containing halloysite nanotubes (HNT) and bentonite-based fillers (BM, BS, BSP) at 2 wt.% were prepared using a powder-coating and injection moulding approach. Accelerated hydrolytic degradation was conducted at 50 °C for up to six weeks. The degradation behaviour was evaluated through mass variation, water absorption, incubation medium analysis (pH and electrical conductivity), mechanical testing, surface observations, and contact angle measurements. The results revealed a clear filler-dependent response. Bentonite-filled composites exhibited increased water absorption and accelerated …
Applications Of Geosynthetics In Tunnels Construction: A Sustainable Approach To Carbon Footprint Reduction,
2026
Department of Civil Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh 202002, India
Applications Of Geosynthetics In Tunnels Construction: A Sustainable Approach To Carbon Footprint Reduction, Ibraheem Rais, Abdullah H. Alsabhan, Md. Rehan Sadique, Shamshad Alam
Journal of Sustainable Construction Materials and Technologies
The use of geosynthetics has transformed tunnelling practices by enhancing structural integrity, durability, and environmental sustainability. This review adopts a systematic literature review design, covering publications from 2000 to 2025 sourced from Scopus, Web of Science, ScienceDirect, and Google Scholar. The selected studies were screened based on relevance, quality, and focus on tunnelling applications, then thematically analyzed into four domains: geosynthetic types, applications, sustainability, and performance evaluation. This review focuses on the applications of various geosynthetics, including geotextiles, geogrids, geocomposites, geocells, and geomembranes, in tunnelling projects. These materials play crucial roles in reinforcing tunnel walls and slopes, improving load distribution, …
Sustainable Waste Valorization: Chitosan From Shrimp Shells For Eco-Friendly Cement Mortars And Global Nexus,
2026
The British University in Egypt
Sustainable Waste Valorization: Chitosan From Shrimp Shells For Eco-Friendly Cement Mortars And Global Nexus, Dalia A. Ali Associate Prof., Rahma H. Thabet Dr., Norah Alwadai Associate Prof., Fekri Abdulraqeb Ahmed Ali Prof., Ahmed S. Al-Fatesh Prof., Zeinab A. Etman Prof.
Chemical Engineering
This study addresses environmental and economic challenges by investigating the valorization of green shrimp shell biowaste into chitosan for application as an eco-friendly, sustainable, and multifunctional cement mortar additive. Chitosan synthesized from shrimp shells was systematically incorporated into high early-strength hydraulic cement mortar specimens ranging from 0 wt% to 1.5 wt% in the presence of silica sand. The influence of chitosan incorporation on the properties of cement mortars was systematically investigated, including mechanical performance (compressive strength and setting time), the underlying mechanism of chemical interactions, and microstructural development. X-ray diffraction (XRD) analysis was performed on the extracted chitosan to confirm …
Investigation Of Portland Limestone Cement Blended With Biochar From Downdraft Gasification: Hydration Kinetics, Microstructure, Rheology, And Performance Mechanisms,
2026
Missouri University of Science and Technology
Investigation Of Portland Limestone Cement Blended With Biochar From Downdraft Gasification: Hydration Kinetics, Microstructure, Rheology, And Performance Mechanisms, Ugochukwu Ewuzie, Paul C. Ani, Abdulkareem O. Yusuf, Joseph D. Smith, Monday Uchenna Okoronkwo
Chemical and Biochemical Engineering Faculty Research & Creative Works
The widespread adoption of Portland Limestone Cement (PLC) in U.S. concrete production has necessitated research into commercially available supplementary cementitious materials (SCMs) for formulating high-performance, low-carbon blended binders with PLC. This study investigated the influence of biochar (BC) in biochar-PLC composites (CBCs), focusing on hydration kinetics, microstructure, rheology, pore-solution chemistry, compressive strength, and the underlying mechanisms. Biochar was produced via downdraft gasification at 850 °C and incorporated into PLC at 5, 7, and 10% substitution by mass. Isothermal calorimetry and hydration data modeled using the Knudsen equation revealed that BC retarded early hydration but improved hydration degree and later-age heat …
Investigations Of Carbon Dioxide Storage In Low-Temperature Reservoirs For Non-Leaking Storage,
2026
University of Louisiana at Lafayette
Investigations Of Carbon Dioxide Storage In Low-Temperature Reservoirs For Non-Leaking Storage, Md Nahin Mahmood
Doctoral Dissertations
Carbon dioxide (CO₂) injection into subsea or low-temperature water zones has emerged as a promising strategy for long-term, non-leaking CO₂ storage through the formation of solid hydrates. This research investigates CO₂ injection into Berea sandstone cores saturated with water under simulated subsea conditions, focusing on hydrate formation behavior across varying temperatures, pressures, and injection flow rates. Experimental results demonstrate that CO₂ hydrate formation under dynamic (flowing) conditions occurs at significantly higher pressure compared to static conditions reported previously. At temperatures ranging from 0 °C to 5 °C, dynamic hydrate formation pressures were observed to be approximately double. This can be …
Automating Distillation Column Internals Design Via Reinforcement Learning: A Hybrid Action Space Approach,
2026
University of Louisiana at Lafayette
Automating Distillation Column Internals Design Via Reinforcement Learning: A Hybrid Action Space Approach, Holden B. Broussard
Masters Theses
Distillation columns are the most used separation technique in all chemical fields. The design of column internals presents a hybrid action space problem, where trayed internal parameters are continuous and packed parameters are discrete; Hybrid meaning the action space consists of both discrete and continuous design parameters. Hybrid action spaces have presented a challenge in the reinforcement learning space, since the most robust algorithms are designed to handle specific action types. This research develops and validates a hierarchical multi-agent reinforcement learning framework that divides the action spaces into different agents. The Controller agent selects between internal types, the Soft Actor- …
Geological Carbon Storage In Deep, Low Permeable Shale Reservoirs: Insights From The Haynesville Formation, Louisiana,
2026
University of Louisiana at Lafayette
Geological Carbon Storage In Deep, Low Permeable Shale Reservoirs: Insights From The Haynesville Formation, Louisiana, Himakshi Goswami
Masters Theses
As global initiatives to mitigate greenhouse gas emissions intensify, depleted unconventional shale gas formations have emerged as critical candidates for large-scale geological carbon storage (GCS). This study investigates the feasibility, dynamic trapping mechanisms, and operational optimization of CO₂ sequestration in deep, low-permeability shale reservoirs, using the Upper Jurassic Haynesville Shale in northwest Louisiana as a comprehensive case study. Compositional reservoir simulation (CMG GEM 2021.10) was performed using the SPE Haynesville dataset, with CO₂ injected at a rate of 10,000 ft³/day across single and multiple depth intervals spanning 11,290–11,314 feet. Results demonstrate that multi-depth injection significantly improves residual trapping, reduces buoyancy-driven …
Mitigating Surfactant-Gas Interactions In Associated Gas Reservoirs: A Simulation And Machine Learning Guided Approach,
2026
University of Louisiana at Lafayette
Mitigating Surfactant-Gas Interactions In Associated Gas Reservoirs: A Simulation And Machine Learning Guided Approach, Francis Dela Nuetor
Masters Theses
Surfactant flooding is a promising chemical enhanced oil recovery (EOR) method for mobilizing residual oil through interfacial tension reduction and wettability alteration. However, its performance in associated-gas reservoirs can be limited by salinity, gas composition, surfactant adsorption, and possible chemical instability. This study investigates the effect of salinity on surfactant flooding efficiency using an integrated reservoir simulation and machine learning workflow. A synthetic three-dimensional reservoir model was developed in ECLIPSE using a 10 × 10 × 3 Cartesian grid to simulate surfactant flooding over a 300-day production period under salinity conditions ranging from 100 to 50,000 ppm. Key outputs, including …
Optimizing Co₂ Wag Flooding Parameters For Enhanced Oil Recovery And Formation Damage Control In Asphaltene Reservoirs Using Soft Experimentation,
2026
University of Louisiana at Lafayette
Optimizing Co₂ Wag Flooding Parameters For Enhanced Oil Recovery And Formation Damage Control In Asphaltene Reservoirs Using Soft Experimentation, Derrick Amoah Oladele
Masters Theses
CO₂ Water Alternating Gas flooding has become an important enhanced oil recovery process in increasing oil production in medium to heavy oil reservoirs. However, CO₂ injections have the potential to cause asphaltene destabilization, leading to precipitation, deposition, and pore plugging. This study evaluated and optimized the effect of CO₂ flooding parameters to maximize oil recovery and minimized formation damage. Eclipse 300 compositional reservoir simulator was used to assess the effect of CO₂ Water Alternating Gas (WAG) Injection Rate, WAG Ratio, and CO₂ Water Alternating Gas (WAG) Injection Pressure on the reservoir. Predictive models for Cumulative Oil Production (FOPT) and Asphaltene …
S-[2-(Hydroxyamino)-2-Oxoethyl]-O-Octyl-Dithiocarbonate Ester (Ehaox): Performance And Adsorption Mechanism,
2026
Inner Mongolia University of Science and Technology
S-[2-(Hydroxyamino)-2-Oxoethyl]-O-Octyl-Dithiocarbonate Ester (Ehaox): Performance And Adsorption Mechanism, Yue Zhou, Jiaxiang Li, Hongli Fan, Zhilong Li, Yuesheng Gao, Tian Lin, Haiyan Tang, Tingting Wang, Wei Sun
Michigan Tech Publications
This study explores the interfacial interactions between a novel collector, S-[2-(hydroxyamino)-2-oxoethyl]-O-octyl-dithiocarbonate ester (EHAOX), and bastnaesite mineral surfaces during selective flotation. Compared to conventional octylhydroxamic acid (OHA), EHAOX demonstrated superior recovery, achieving an over 40% absolute increase in recovery compared to octylhydroxamic acid (OHA) at the same collector concentration (1 × 10−5 mol/L) and pH 8.0, and selectivity for bastnaesite, attributed to its optimized hydrophobicity (supported by CLogP calculations). Mechanistic studies via zeta potential, UV/vis spectroscopy, and FTIR revealed the formation of a complex composite via chemisorption between EHAOX and Ce3+ sites on the bastnaesite surface, with coordination occurring …
Improving The Reliability And Performance Of A Supersonic Indraft Tube Wind Tunnel,
2026
California Polytechnic State University, San Luis Obispo
Improving The Reliability And Performance Of A Supersonic Indraft Tube Wind Tunnel, Christian J. Kaml
Master's Theses
Access to supersonic testing is increasing in demand, and wind tunnels remain one of the safest and most cost-effective methods for gathering high-speed flow data. Despite being more economical than alternative options, supersonic wind tunnel facilities often require substantial investment to construct, operate, and maintain.
The novel indraft tube tunnel architecture was conceived as a high-speed flow testbed that incorporates features of both Ludwieg tubes and indraft wind tunnels to maintain costs low enough to be accessible even to small universities. This design was first developed and tested in 2018 at California Polytechnic State University, featuring a cost per test …
Nanofluid Flooding As A Sufficient Alternative To Waterflooding For Incremental Oil Recovery From Carbonate Reservoirs,
2026
Edith Cowan University
Nanofluid Flooding As A Sufficient Alternative To Waterflooding For Incremental Oil Recovery From Carbonate Reservoirs, Sarmad Al-Anssari, Dhifaf Sadeq, Hassanain A. Hassan, Ahmed Hamid Al-Taie, Hasan Ali Abood, Mohammed Mahdi, Zain Ul Abedin Arain
Research outputs 2022 to 2026
Oil recovery from carbonate reservoirs is one of the critical challenges in the oil industry due to the strongly oil-wet nature, natural fractures, and the heterogeneity of carbonate rocks. Subsequently, waterflooding can only displace oil from large fractures, leaving the majority of oil trapped in the rock matrix. This work suggests that nanofluid flooding, as a predesigned flooding method, is an alternative to conventional waterflooding. Various concentrations of silica nanofluid at different nanoparticle concentrations were formulated and systematically investigated for their characteristics, stability at reservoir conditions, and their influence on wettability and oil recovery. Silica nanoparticles were sustainably synthesized from …
Green-Synthesised Nh₂-Mil-101(Cr) Mof–Reinforced Starch Bioplastic Films For Sustainable Food Packaging,
2026
Edith Cowan University
Green-Synthesised Nh₂-Mil-101(Cr) Mof–Reinforced Starch Bioplastic Films For Sustainable Food Packaging, Shima Jafarzadeh, Yasaman Esmaeili, Moon Paul, Seyedeh Zahra Haeri, Colin J. Barrow, Mina Dokouhaki, Masoumeh Zargar, Minoo Naebe
Research outputs 2022 to 2026
This study introduces a green, aqueous synthesis approach for NH₂-MIL-101(Cr), avoiding toxic organic solvents while preserving its high crystallinity, porosity (>1000 m2/g), and amino functionality. To develop sustainable packaging materials the synthesized MOF was incorporated into sago starch-based bioplastic films across control 0%, 1%, 3%, and 5% treatments. Nanoparticle characterizations via SEM, TEM, FTIR, XRD, and nitrogen adsorption-desorption isotherms confirmed a porous, crystalline structure (100–300 nm) with a surface area exceeding 1000 m2/g. Film characterizations using SEM, FTIR, color analysis, tensile testing, TGA, and UV-Vis spectroscopy revealed that the 3% treatment offered the best balance, with tensile strength increasing …
Multiple-Nozzle Sprays: Comparison To Single-Nozzle Sprays And Role Of Directional Conditional Filtering,
2026
Edith Cowan University
Multiple-Nozzle Sprays: Comparison To Single-Nozzle Sprays And Role Of Directional Conditional Filtering, Farzad Hossain, Matthew J. Cleary, Yasir M. Al-Abdeli, Mehdi Khiadani
Research outputs 2022 to 2026
Spray-based droplet evaporation systems used in desalination and cooling applications depend on both nozzle arrangement and the interpretation of measured droplet behaviour. This study examines (i) how multi-nozzle configurations differ from single-nozzle characteristics and (ii) how ensemble-averaged measurements change when droplets are separated according to their motion direction (upward or downward). Atmospheric water sprays generated by full-cone spray nozzles were investigated using Particle Image Velocimetry (PIV) for droplet axial velocity measurements and Shadowgraph imaging to determine droplet size and count. Directional filtering was performed using Large Eddy Simulation (LES), validated against experiments. Single- and dual-nozzle configurations were tested with horizontal …
Gas Adsorption Behavior In Organic-Rich Carbonate Source Rocks: Insights Into Hydrogen Storage, Methane Recovery, And Co2 Sequestration In Oil Shales,
2026
Edith Cowan University
Gas Adsorption Behavior In Organic-Rich Carbonate Source Rocks: Insights Into Hydrogen Storage, Methane Recovery, And Co2 Sequestration In Oil Shales, Muhammad Usman, Muhammad Ali, Tawanda Matamba, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit, Volker Vahrenkamp
Research outputs 2022 to 2026
Gas adsorption in unconventional petroleum source rocks, e.g. organic-rich mudrocks and shales, is influenced by significant heterogeneities in organic and inorganic composition, structure, and pore networks. An understanding of the interplay between these properties is essential for optimizing hydrocarbon extraction, CO2 sequestration, and hydrogen storage in such reservoirs. Herein, the factors controlling hydrogen, methane, and CO2 adsorption in unconventional organic-rich Jordan source rock samples are investigated, focusing on the roles of organic matter, mineral composition, and textural properties. The samples are characterized via multiple techniques, followed by adsorption experiments. The results reveal that H2 has the lowest adsorption capacity, being …
Design And Development Of A Resonance Ignition System Using Gaseous Propellants,
2026
California Polytechnic State University, San Luis Obispo
Design And Development Of A Resonance Ignition System Using Gaseous Propellants, Benjamin J. Hoefer
Master's Theses
This work presents the development and experimental evaluation of a resonance igniter (RI) operating with premixed gaseous propellants. Resonance ignition is a non-electrical ignition concept in which an underexpanded jet impinges on a closed-end Hartmann–Sprenger tube (HST), generating cyclic compression and expansion waves that rapidly heat gas near the tube endwall. A modular experimental system was designed and built to investigate resonance ignition using methane–air and methane–oxygen mixtures. The system includes a supplemental configuration that may probe for mixture conditions favorable to ignition, informing RI testing. Pressure and temperature measurements were used to characterize pressure control, mixture pressure ratio (MPR), …
Glass Transition Temperature Of Plga Nanoparticles And The Application In Drug Delivery,
2026
New Jersey Institute of Technology
Glass Transition Temperature Of Plga Nanoparticles And The Application In Drug Delivery, Guangliang Liu
Dissertations
The glass transition temperature (Tg) of poly(D,L-lactic-co-glycolic acid) (PLGA) nanoparticles plays a crucial role in governing molecular mobility, diffusion, and consequently, drug release kinetics. However, the interaction among residual surfactant, drug effect, nanoscale confinement, and release medium on Tg remains insufficiently characterized. This study aims to bridge this gap by correlating the thermal behavior of PLGA nanoparticles with their drug release behavior under physiologically relevant conditions.
In the present study, PLGA nanoparticles were synthesized using both nano-emulsion and surfactant-free nano-precipitation approaches. The influence of residual surfactants - poly(vinyl alcohol) (PVA) and didodecyldimethylammonium bromide (DMAB) - was systematically …
Membrane-Engineered Nanotherapeutic Platforms For Drug Delivery: Hollow Fiber Membrane Synthesis Of Lipid Nanoparticles, Biomimetic Nanocarriers, And Nanobubbles,
2026
New Jersey Institute of Technology
Membrane-Engineered Nanotherapeutic Platforms For Drug Delivery: Hollow Fiber Membrane Synthesis Of Lipid Nanoparticles, Biomimetic Nanocarriers, And Nanobubbles, Zhixiang Liu
Dissertations
Lipid-based nanocarriers have emerged as a cornerstone technology for RNA therapeutics, enabling effective intracellular delivery for applications ranging from vaccination to gene regulation. However, current manufacturing approaches, particularly microfluidic-based platforms, face inherent limitations in scalability, throughput, and structural tunability due to their reliance on confined channel geometries and restricted mixing architectures. Addressing these challenges requires fundamentally new strategies that decouple nanoparticle formation from traditional microscale flow constraints while maintaining precise control over physicochemical properties.
This dissertation presents a comprehensive framework for the design, engineering, and application of advanced lipid-based nanocarriers, centered on a hollow fiber membrane (HFM)—assisted nanopore-mediated assembly platform. …
Machine Learning-Driven Prediction And Mechanistic Insight Into Co2 Adsorption On Biomass-Derived Activated Carbons Using Explainable Ai (Xai),
2026
The British University in Egypt
Machine Learning-Driven Prediction And Mechanistic Insight Into Co2 Adsorption On Biomass-Derived Activated Carbons Using Explainable Ai (Xai), Dalia A. Ali Dr.
Chemical Engineering
To improve CO2 uptake in Biomass-Derived Activated Carbon (BDAC), this study develops a multiscale hybrid digital twin framework. By integrating microscopic descriptors from Density Functional Theory and Molecular Dynamics (DFT/MD) with experimental data from 63 chemically diverse biomass precursors, a Gaussian Process Regression (GPR) model was developed using the Materń 5/2 Automatic Relevance Determination (ARD) kernel. The framework achieved high internal training accuracy (R2 = 0.968) and Root Mean Square Error (RMSE = 0.2552), while providing a realistic generalization baseline across heterogeneous precursors with a 5-fold Cross Validated (CV) R2 of 0.1567 and CV RMSE of 0.283. Explainable Artificial Intelligence …
