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Biomass-Derived Electrode Materials And Sustainable Processes For Supercapacitors, Katelyn M. Shell 2021 Virginia Commonwealth University

Biomass-Derived Electrode Materials And Sustainable Processes For Supercapacitors, Katelyn M. Shell

Theses and Dissertations

Biomass is one of the most abundant natural resources and has been used as a source of energy for thousands of years. Biomass as a precursor for energy storage materials is still relatively novel and faces several obstacles before becoming commonly used in today’s electrical devices. Currently, energy storage devices, such as batteries, capacitors, and supercapacitors, utilize petroleum-derived graphitic carbons for anodes, generating a need for more sustainable materials. Biomass, as a carbon-rich source for electrode materials, presents a viable and economically feasible alternative due to the prevalent lignocellulosic compounds: lignin, cellulose, and hemicellulose. Preliminary studies on the solid residues …


Quantification Of Nitric Oxide Concentration Using Single-Walled Carbon Nanotube Sensors, Jakob Meier, Joseph Stapleton, Eric M. Hofferber, Abigail Haworth, Stephen D. Kachman, Nicole M. Iverson 2021 University of Nebraska - Lincoln

Quantification Of Nitric Oxide Concentration Using Single-Walled Carbon Nanotube Sensors, Jakob Meier, Joseph Stapleton, Eric M. Hofferber, Abigail Haworth, Stephen D. Kachman, Nicole M. Iverson

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Nitric oxide (NO), a free radical present in biological systems, can have many detrimental effects on the body, from inflammation to cancer. Due to NO’s short half-life, detection and quan- tification is difficult. The inability to quantify NO has hindered researchers’ understanding of its impact in healthy and diseased conditions. Single-walled carbon nanotubes (SWNTs), when wrapped in a specific single-stranded DNA chain, becomes selective to NO, creating a fluorescence sensor. Unfortunately, the correlation between NO concentration and the SWNT’s fluorescence intensity has been difficult to determine due to an inability to immobilize the sensor without altering its properties. Through the …


Development Of Bio-Based Nanocomposites For Biosensor And Indicator Applications In Smart Food Packaging, Abdus Sobhan 2021 South Dakota State University

Development Of Bio-Based Nanocomposites For Biosensor And Indicator Applications In Smart Food Packaging, Abdus Sobhan

Electronic Theses and Dissertations

Smart food packaging based on biosensors has been attracting more and more interest to the industrial community because of the concerns of food quality and safety. A food packaging with biosensor has a scope to enable real-time monitoring of microbial breakdown products of packaged foods. Furthermore, one of the biggest challenges in implementing biosensor for smart packaging materials is the development of bio-sensing active materials that can leverage their electrical, thermal, biodegradable and other functional properties. In this regard, nanocellulose-based activated carbon (NAC) nanocomposite was developed using the activated carbon and nanocellulose gel using the casting method with their different …


Analysis Of Modern Barn Design, Gunther Soehnlen 2021 The University of Akron

Analysis Of Modern Barn Design, Gunther Soehnlen

Williams Honors College, Honors Research Projects

The agriculture industry is always changing. Barn structures are one of the most important aspects of the agriculture industry. As the agriculture industry changes, so does the design and construction of barns. There are many types of barns, but over the last 300 years four of the most prevalent types have been the Bank Barn, Open Span Truss Barn, Hoop Barn, and Transverse Frame Barn. The Bank Barn and Transverse Frame Barn have been popularly built for over 200 years. The Hoop Barn and the Open Span Truss Barn have been recently introduced to the industry, becoming popular within the …


Optimisation Of Grass Measurement Technologies Through Field Experimentation And Numerical Simulation Methods, Darren Joseph Murphy 2021 Department of Process, Energy & Transport Engineering, Munster Technological University, Cork, Ireland

Optimisation Of Grass Measurement Technologies Through Field Experimentation And Numerical Simulation Methods, Darren Joseph Murphy

Theses

Maximising pasture utilisation through optimal grassland management is vital in terms of ensuring the economic sustainability and mitigating the environmental impact of both Irish and global pasture-based livestock production. Frequent and accurate measurement of grass quantity and quality is one of the main methods of maximising grass production and utilisation on pasture-based farms. The most prominent grass measurement tool used on Irish pasture is the rising plate meter (RPM), however, there are a range of issues with this method including operator bias, precision and difficulties in accounting for spatial variation. Currently, there is no definitive protocol for grass measurement which …


Modeling And Prioritizing Interventions Using Pollution Hotspots For Reducing Nutrients, Atrazine And E. Coli Concentrations In A Watershed, Olufemi P. Abimbola, Aaron R. Mittelstet, Tiffany Messer, Elaine Berry, Anna van Griensven 2021 University of Nebraska - Lincoln

Modeling And Prioritizing Interventions Using Pollution Hotspots For Reducing Nutrients, Atrazine And E. Coli Concentrations In A Watershed, Olufemi P. Abimbola, Aaron R. Mittelstet, Tiffany Messer, Elaine Berry, Anna Van Griensven

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Excess nutrients and herbicides remain two major causes of waterbody impairment globally. In an attempt to better understand pollutant sources in the Big Sandy Creek Watershed (BSCW) and the prospects for successful remediation, a program was initiated to assist agricultural producers with the implementation of best management practices (BMPs). The objectives were to (1) simulate BMPs within hotspots to determine reductions in pollutant loads and (2) to determine if water-quality standards are met at the watershed outlet. Regression-based load estimator (LOADEST) was used for determining sediment, nutrient and atrazine loads, while artificial neural networks (ANN) were used for determining E. …


Assessing Different Plant-Centric Water Stress Metrics For Irrigation Efficacy Using Soil-Plant-Atmosphere-Continuum Simulation, Jingwen Zhang, Kaiyu Guan, Bin Peng, Ming Pan, Wang Zhou, Robert F. Grant, Trenton E. Franz, Daran Rudnick, Derek M. Heeren, Andrew Suyker, Yi Yang, Genghong Wu 2021 University of Illinois at Urbana Champaign

Assessing Different Plant-Centric Water Stress Metrics For Irrigation Efficacy Using Soil-Plant-Atmosphere-Continuum Simulation, Jingwen Zhang, Kaiyu Guan, Bin Peng, Ming Pan, Wang Zhou, Robert F. Grant, Trenton E. Franz, Daran Rudnick, Derek M. Heeren, Andrew Suyker, Yi Yang, Genghong Wu

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Understanding plant water stress (PWS) in the soil-plant-atmosphere-continuum (SPAC) that connects water supply from soil, water demand from atmosphere, and plant self-regulation is a prerequisite for efficient irrigation in response to water scarcity. Currently, PWS can be defined in various ways, for example, based on environmental factors and/or plant-centric metrics. The environment-based metrics usually do not take plants into consideration. Regarding the existing plant-centric metrics, their interconnections and abilities to capture the physical water constraints from both soil water supply and atmospheric water demand are still unclear. This research investigates the theoretical foundations behind different PWS metrics, and assesses their …


Antibiotic Resistance Genes In Swine Manure Slurry As Affected By Pit Additives And Facility Disinfectants, Maria C. Hall, Jon Duerschner, John E. Gilley, Amy Schmidt, Shannon Bartelt-Hunt, Daniel D. Snow, Kent M. Eskridge, Xu Li 2021 University of Nebraska-Lincoln

Antibiotic Resistance Genes In Swine Manure Slurry As Affected By Pit Additives And Facility Disinfectants, Maria C. Hall, Jon Duerschner, John E. Gilley, Amy Schmidt, Shannon Bartelt-Hunt, Daniel D. Snow, Kent M. Eskridge, Xu Li

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Manure storage facilities are critical control points to reduce antibiotic resistance genes (ARGs) in swine manure slurry before the slurry is land applied. However, little is known about how exogenous chemicals entering the manure storage facilities may affect the fate of ARGs. The objective of this study was to analyze the impact of six commonly used pit additives and four facility disinfectants on the concentration of ARGs in swine manure slurry. Bench scale reactors, each containing approximately 50 L of liquid swine manure, were dosed with additives or disinfectants and were sampled for 40 days. Seven antibiotic resistance genes along …


Differential Survival Of Non-O157 Shiga Toxigenic Escherichia Coli In Simulated Cattle Feedlot Runoff, Lisa M. Durso, John E. Gilley, Daniel N. Miller 2021 USDA-ARS

Differential Survival Of Non-O157 Shiga Toxigenic Escherichia Coli In Simulated Cattle Feedlot Runoff, Lisa M. Durso, John E. Gilley, Daniel N. Miller

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Environmental survival time is important when evaluating adverse health outcomes from foodborne pathogens. Although outbreaks associated with manure-impacted irrigation or runoff water are relatively infrequent, their broad scope, regulatory importance, and severe health outcomes highlight the need to better understand the environmental survival of manure-borne pathogens. Shiga toxigenic Escherichia coli (STEC) are excreted in feces and persist in the environment until they die or recolonize a new host. Surface waters contaminated with manure-borne STEC can infect humans through drinking and recreational water use or irrigated crops that are minimally cooked. In this study, manure-impacted water microcosms mimicking beef cattle feedlot …


Editorial: Predictive Modeling Of Human Microbiota And Their Role In Health And Disease, Hyun-Seob Song, Stephen R. Lindemann, Dong-Yup Lee 2021 University of Nebraska-Lincoln

Editorial: Predictive Modeling Of Human Microbiota And Their Role In Health And Disease, Hyun-Seob Song, Stephen R. Lindemann, Dong-Yup Lee

Department of Agricultural and Biological Systems Engineering: Faculty Publications

No abstract provided.


The Nanotheranostic Researcher’S Guide For Use Of Animal Models Of Traumatic Brain Injury, Brandon Z. McDonald, Connor C. Gee, Forrest M. Kievit 2021 University of Nebraska-Lincoln

The Nanotheranostic Researcher’S Guide For Use Of Animal Models Of Traumatic Brain Injury, Brandon Z. Mcdonald, Connor C. Gee, Forrest M. Kievit

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Traumatic brain injury (TBI) is currently the leading cause of injury-related morbidity and mortality worldwide, with an estimated global cost of USD 400 billion annually. Both clinical and preclinical behavioral outcomes associated with TBI are heterogeneous in nature and influenced by the mechanism and frequency of injury. Previous literature has investigated this relationship through the development of animal models and behavioral tasks. However, recent advancements in these methods may provide insight into the translation of therapeutics into a clinical setting. In this review, we characterize various animal models and behavioral tasks to provide guidelines for evaluating the therapeutic efficacy of …


Frontier: Discipline-Based Education Research To Advance Authentic Learning In Agricultural And Biological Engineering, Heidi A. Diefes-Dux 2021 University of Nebraska-Lincoln

Frontier: Discipline-Based Education Research To Advance Authentic Learning In Agricultural And Biological Engineering, Heidi A. Diefes-Dux

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Discipline-based education research (DBER) is research activity aimed at investigating “learning and teaching in a discipline from a perspective that reflects the discipline’s priorities, worldview, knowledge, and practices” for the purpose of producing research-based evidence to improve education in that discipline. DBER arose out of concerns about the quality of post-secondary science education. Physics, chemistry, engineering, biology, geosciences, and astronomy education each have unique DBER histories in the U.S. that date back to the late 1800s or early 1900s when colleges and university systems were expanding and formalizing. The DBER fields accelerated in the 1950s and 1960s as a result …


Low-Level Groundwater Atrazine In High Atrazine Usage Nebraska Counties: Likely Effects Of Excessive Groundwater Abstraction, Moses New-Aaron, Olufemi Abimbola, Raheleh Mohammadi, Oluwaseun Famojuro, Zaeema Naveed, Azar Abadi, Jesse E. Bell, Shannon Bartelt-Hunt, Eleanor G. Rogan 2021 University of Nebraska Medical Center

Low-Level Groundwater Atrazine In High Atrazine Usage Nebraska Counties: Likely Effects Of Excessive Groundwater Abstraction, Moses New-Aaron, Olufemi Abimbola, Raheleh Mohammadi, Oluwaseun Famojuro, Zaeema Naveed, Azar Abadi, Jesse E. Bell, Shannon Bartelt-Hunt, Eleanor G. Rogan

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Recent studies observed a correlation between estrogen-related cancers and groundwater atrazine in eastern Nebraska counties. However, the mechanisms of human exposure to atrazine are unclear because low groundwater atrazine concentration was observed in counties with high cancer incidence despite having the highest atrazine usage. We studied groundwater atrazine fate in high atrazine usage Nebraska counties. Data were collected from Quality Assessed Agrichemical Contaminant Nebraska Groundwater, Parameter–Elevation Regressions on Independent Slopes Model (PRISM), and water use databases. Descriptive statistics and cluster analysis were performed. Domestic wells (59%) were the predominant well type. Groundwater atrazine was affected by well depth. Clusters consisting …


Improvements In Sub-Catchment Fractional Snowpack And Snowmelt Parameterizations And Hydrologic Modeling For Climate Change Assessments In The Western Himalayas, Vishal Singh, Francisco Muñoz-Arriola 2021 National Institute of Hydrology Roorkee

Improvements In Sub-Catchment Fractional Snowpack And Snowmelt Parameterizations And Hydrologic Modeling For Climate Change Assessments In The Western Himalayas, Vishal Singh, Francisco Muñoz-Arriola

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The present work proposes to improve estimates of snowpack and snowmelt and their assessment in the steep Himalayan ranges at the sub-catchment scale. Temporal variability of streamflow and the associated distribution of accumulated snow in catchments with glacier presence in the Himalayas illustrates how changes in snowpack and snowmelt can affect the water supply for local water management. The primary objective of this study is to assess the role of elevation, temperature lapse rate (TLR), and precipitation lapse rate (PLR) in the computation of snowpack (or snowfall) and snowmelt in sub-catchments of the Satluj River basin. Modeling of snowpack and …


Evaluating And Predicting The Risk Of Algal Blooms In A Freshwater Lake Through A 4-Dimensional Approach: A Case Study On Lake Mitchell, Sumit Kumar Ghosh 2021 South Dakota State University

Evaluating And Predicting The Risk Of Algal Blooms In A Freshwater Lake Through A 4-Dimensional Approach: A Case Study On Lake Mitchell, Sumit Kumar Ghosh

Electronic Theses and Dissertations

Excessive algal growth in freshwater lakes can negatively impact ecosystems, recreation, and human health. Though algae are a natural part of freshwater ecosystems, elevated nutrient loading from anthropogenic and natural sources can lead to algal blooms. Both algae and blue-green algae (BGA) are responsible for algal blooms; however, BGA (cyanobacteria) is more dangerous. The first objective of this research was to prepare a conceptual model to understand how various environmental variables affect algae. This conceptual model was used to choose the environmental variables that help increase or decrease algae in the water environment. The second objective was to develop empirical …


Valorization Of Xylan In Agroforestry Waste Streams, Harrison Appiah 2021 West Virginia University

Valorization Of Xylan In Agroforestry Waste Streams, Harrison Appiah

Graduate Theses, Dissertations, and Problem Reports (ETD)

Valorization of Xylan in Agroforestry Waste Streams.

Harrison Appiah

Microwave-assisted deep eutectic solvent and gamma-valerolactone metallic chloride catalyzed conversion of xylan to furfural were investigated using a 2x3 factorial experimental design at two levels of percent microwave power, reaction time, and catalyst concentration. The levels of each factor studied were (20%, 60% microwave power, 2, 4 minutes, and 10, 20mg) respectively. The effect of three metallic chloride catalysts (LiCl, FeCl3.6H20, CuCl2) on the conversion of xylan to furfural was also investigated. The gamma-valerolactone-ferric chloride sent system exhibited the highest mean yield of furfural (56.50%). The next highest furfural yield of …


Strategies For Reducing Greenhouse Gases From Liquid Dairy Manure, Vera Sokolov 2021 Wilfrid Laurier University

Strategies For Reducing Greenhouse Gases From Liquid Dairy Manure, Vera Sokolov

Theses and Dissertations (Comprehensive)

Livestock production, including the storage, handling, and spreading of manure, are among the largest contributors to greenhouse gas emissions from the agricultural sector. Liquid dairy manure storages are hot spots of methane (CH4), nitrous oxide (N2O) and ammonia (NH3). Both CH4 and N2O are greenhouse gases (GHG) which contribute to global warming, while NH3 is an indirect source of N2O and a risk to human health. Reducing emissions from manure storages is important not only for protection of environment and humans, but also for conserving the nutrients in …


Bibliometric Analysis Of Plant Disease Prediction Using Climatic Condition, Shivali Amit Wagle, Harikrishnan R 2021 Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, India

Bibliometric Analysis Of Plant Disease Prediction Using Climatic Condition, Shivali Amit Wagle, Harikrishnan R

Library Philosophy and Practice (e-journal)

The changes in the climatic conditions are having beneficial as well as harmful effects on crop yields depending on the drastic changes. There can be a yield loss due to the occurrence of disease in crops. Apart from severe yield losses, infected yield can be harmful and threatening to living being’s health as that is the source of food. This also affects the economy of the agricultural depended country. Disease prediction tools advance in the management of exertions for diseases in plants. Machine learning techniques help in elucidating complex associations between hosts and pathogens without invoking difficult-to-satisfy expectations. For the …


Pillars Of Sustainable Development–Land Capability And Conceptual Project Design, Ian D. Hollingsworth 2020 Agriculture, Food & Natural Resources, The University of Sydney, Australia

Pillars Of Sustainable Development–Land Capability And Conceptual Project Design, Ian D. Hollingsworth

Journal of Environmental Science and Sustainable Development

Conserving land capability is a pillar of sustainable development strategy. Land units comprising unique combinations of native vegetation, soils, geology, and landforms are used to interpret local environmental processes and land capabilities. An emerging practice is extrapolation modeling of edaphic parameter surfaces in Digital Soil Mapping (DSM) using statistical correlation. Commercial studies of land capability for sustainable development, including a mine closure in a national park, another closure for grazing land restoral, urban stormwater flood mitigation, and wind farm development in plantation forestry, are presented to illustrate applications and review the utility of DSM data. The first case, a mine …


Mathematical Modelling And Numerical Simulation Of Mass Transfer During Deep-Fat Frying Of Plantain (Musa Paradisiacal Aab) Chips (Ipekere), James Abiodun Adeyanju, John Oluranti Olajide, Emmanuel Olusola Oke, Akinbode A. Adedeji 2020 Ladoke Akintola University of Technology, Nigeria

Mathematical Modelling And Numerical Simulation Of Mass Transfer During Deep-Fat Frying Of Plantain (Musa Paradisiacal Aab) Chips (Ipekere), James Abiodun Adeyanju, John Oluranti Olajide, Emmanuel Olusola Oke, Akinbode A. Adedeji

Biosystems and Agricultural Engineering Faculty Publications

This study developed a mathematical model following the fundamental principles of mass transfer for the simulation of the oil and moisture content change during the Deep-Fat Frying of plantain (ipekere) chip. The explicit Finite Difference Technique (FDT) was used to conduct a numerical solution to the consequential governing equation (partial differential equation) that was used to describe the mass transfer rate during the process. Computer codes that were computed in MATLAB were used for the implementation of FDT at diverse frying conditions. Samples of the plantain were cut into portions of 2 mm thickness, and these sliced portions …


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