Using Copper Nanoparticle Additive to Improve the Performance of Silicon Anodes in Lithium-Ion Batteries

In the foreseeable future, global energy demand is expected to rapidly increase as a result of the swelling population and higher standards of living. Current energy generation and transportation methods predominantly involve the combustion of non-renewable fossil fuels, and greenhouse gas emissions from these processes have been shown to contribute to global climate change and to be detrimental to human and environmental health. To satisfy future energy needs and to reduce greenhouse gas emissions, the advancement of renewable energy generation and electric vehicles is important. The proliferation of intermittent renewable energy sources (such as solar and wind) and electric vehicles depends upon reliable, high-capacity energy storage to serve the practical needs of society. The present-day lithium-ion battery offers excellent qualities for this purpose; however, improvements in the capacity and cost-effectiveness of these batteries are needed for further growth. As an anode material, silicon has exceptionally high theoretical capacity and is an earth-abundant, low-cost option. However, silicon also suffers from poor conductivity and long-term stability, prompting many studies to investigate the use of additive materials to mitigate these issues. This thesis focuses on the improvement of silicon anode performance by using a nanoparticulate copper additive to increase material conductivity and an inexpensive, industry-compatible anode fabrication process. Three main fabrication processes were explored using differing materials and heat treatment techniques for comparison. Anodes were tested using CR2032 type coin cells. The final anodes with the most-improved characteristics were fabricated using a high-temperature heating step for the anode material, and an additional batch was formed to test the viability of the copper additive functioning as a full substitute for carbon black, which is the traditional choice of conductive additive for electrode materials. Anodes materials were characterized using a variety of techniques including scanning electron microscopy (SEM), electron dispersive spectroscopy (EDS), inductively coupled plasma optical emission spectrometry (ICP-OES), Raman spectroscopy, and X-ray diffraction (XRD) to evaluate surface qualities and material content. Electrochemical techniques including electrochemical impedance spectroscopy (EIS) and charge/discharge cycling were also used to determine the conductivity and functional behavior of the anode materials. Anodes from the final experimental study achieved initial capacities of 309 mA/g and 957 mA/g for the silicon-only control and silicon with copper additive anodes, respectively, demonstrating an over 300% increase in specific capacity. Si-Cu (NC) anodes also showed superior performance over control anodes with an initial capacity of 775 mA/g. For all three anodes, high efficiencies of over 96% were achieved for the testing duration of 100 cycles and reached near or over 99% in final cycles. Results also show a significant decrease in the resistance of anodes with copper additive, contributing to the improved performance of these anodes

Chemically Enhanced Treatment Wetland to Improve Water Quality and Mitigate Land Subsidence in the Sacramento‒San Joaquin Delta: Cost and Design Considerations

Water quality impairment and land surface subsidence threaten the viability of the Sacramento–San Joaquin Delta (Delta), a critical component of California’s water conveyance system. Current-day irrigation drainage through Delta island peat soils affects drinking water treatment and is linked to mercury transport, potentially posing both ecological and public health concerns. To cost-effectively treat agricultural drainage water from subsided Delta islands to reduce the export of drinking Water Quality Constituents of Concern and mitigate land subsidence through accretion, we studied hybrid coagulation-treatment wetland systems, termed Chemically Enhanced Treatment Wetlands (CETWs). We provide cost estimates and design recommendations to aid broader implementation of this technology. Over a 20-year horizon using a Total Annualized Cost analysis, we estimate treatment costs of $602 to$747 per acre-foot (ac‑ft) water treated, and $36 to$70 per kg dissolved organic carbon (DOC) removed, depending upon source water DOC concentrations for a small 3-acre CETW system. For larger CETW systems scaled for island sizes of 3,500 to 14,000 acres, costs decrease to $108 to$239 per ac-ft water treated, and $11 to$14 per kg DOC removed. We estimated the footprints of CETW systems to be approximately 3% of the area being treated for 4-day hydraulic retention time (HRT) systems, but they would decrease to less than 1% for 1-day HRT systems. CETWs ultimately address several of the Delta’s key internal issues while keeping water treatment costs competitive with other currently available treatment technologies at similar scales on a per-carbon-removed basis. CETWs offer a reliable system to reduce out-going DOC and mercury loads, and they provide the additional benefit of sediment accretion. System costs and treatment efficacy depend significantly on inflow source water conditions, land availability, and other practical matters. To keep costs low and removal efficacy high, wetland design features will need site-specific evaluation

Technical report: Modeling nitrate leaching risk from specialty crop fields during on-farm managed floodwater recharge in the Kings Groundwater Basin and the potential for its management

This project has focused on better understanding the potential impact of On-Farm Flood Capture and Recharge (OFFCR) on groundwater quality pertaining to salts and nitrate and on assessing potential management opportunities. To achieve these goals, we used a combination of field and modeling studies. For the field study, soil cores were taken to a depth of 30 feet in replicate across fields with three different specialty crops identified as important to the San Joaquin Valley (tomatoes, almonds, vineyards) and with potential suitability for OFFCR. A prime goal of the field study was to provide data for parameterizing two models developed to assess nitrate, salt and water transport through the vadose zone, prior to percolating into the groundwater aquifer. However, the field study also resulted in key findings that show its value as a stand-alone study: 1) Nitrate concentrations are highest in the upper vadose zone and affected by texture. Those effects are not evident in the deeper vadose zone. 2) Vadose zone nitrate concentrations are affected by the crop grown. These results suggest an opportunity for lower legacy mass transport for grapes and higher legacy mass transport for both tomatoes and almonds. 3) Variability in individual farmers’ past and present fertilizer and water management practices contributes to different legacy salt and nitrate loads in the vadose zone. Data from the field study and other related and concurrent OFFCR field efforts were used during model development. The overall modeling approach was designed to model nitrate and salt transport for lands under OFFCR operation for different crop types, vadose zone characteristics and groundwater characteristics. The defined goals of this design and modeling approach were to: 1) model nitrate and salt movement through the vadose zone and into groundwater; 2) test the model against scenarios that consider different recharge rates, cultural practices, soil types, and depths to groundwater, assessing the timing and magnitude of loading through the vadose zone and the effects on underlying groundwater; and 3) recommend management practices to mitigate potential groundwater impacts. To achieve these goals, two models were integrated to simulate nitrate and salt transport through the vadose zone to groundwater under different scenarios: a 1D Hydrus model and an analytical groundwater model (AGM)

Late Pregnancy Exposures to Disinfection By-products and Growth-Related Birth Outcomes

Toxicologic studies have demonstrated associations between growth-related birth outcomes and exposure to high concentrations of disinfection by-products (DBPs), including specific tri-halomethane (THM) and haloacetic acid (HAA) chemical subspecies. Few prior investigations of DBPs have evaluated exposure during the third trimester of pregnancy, the time period of gestation when fetal growth may be most sensitive to environmental influences. We conducted a retrospective cohort study to examine the effects of exposure to THMs and HAAs during the third trimester and during individual weeks and months of late gestation on the risks for term low birth weight, intrauterine growth retardation, and very preterm and preterm births. The study population (n = 48,119) included all live births and fetal deaths occurring from January 1998 through March 2003 to women whose residence was served by one of three community water treatment facilities. We found evidence of associations between exposure to specific HAAs and term low birth weight as well as intrauterine growth retardation and for exposure to the five regulated HAAs (HAA5) and term low birth weight. Our findings suggest a critical window of exposure with respect to fetal development during weeks 33–40 for the effects of dibromoacetic acid and during weeks 37–40 for the effects of dichloroacetic acid. Adjustment for potential confounders did not affect the conclusions

The use of an online support group for neuromuscular disorders: a thematic analysis of message postings

Purpose: People affected by neuromuscular disorders can experience adverse psychosocial consequences and difficulties accessing information and support. Online support groups provide new opportunities for peer support. The aim of this study was to understand how contributors used the message board function of a newly-available neuromuscular disorders online support group. Methods: Message postings (n=1,951) from the first five months of the message board of a newly-formed online support group for neuromuscular disorders hosted by a charitable organisation were analysed using inductive thematic analysis. Results: Members created a sense of community through disclosing personal information, connecting with people with similar illness experiences or interests, welcoming others, and sharing aspirations for the development of a resourceful community. Experiences, emotional reactions and support were shared in relation to: delayed diagnosis; symptom interpretation; illness management and progression; the isolating impact of rare disorders; and the influence of social and political factors on illness experiences. Conclusions: This study provided a novel insight into individuals’ experiences of accessing a newly-available online support group for rare conditions hosted by a charitable organisation. The findings highlight how the online support group provided an important peer support environment for members to connect with others, exchange information and support, and engender discussion on political and social issues unique to living with often-rare neuromuscular disorders. Online support groups may therefore provide an important and easily accessible support outlet for people with neuromuscular disorders as well as a platform for empowering members to raise awareness about the impact of living with these conditions. Further research is needed to examine member motivations for using such groups and any effects of participation in greater detail

Exposure to Household Air Pollution from Biomass-Burning Cookstoves and HbA1c and Diabetic Status Among Honduran Women

Household air pollution from biomass cookstoves is estimated to be responsible for more than two and a half million premature deaths annually, primarily in low and middle‐income countries where cardiometabolic disorders, such as Type II Diabetes, are increasing. Growing evidence supports a link between ambient air pollution and diabetes, but evidence for household air pollution is limited. This cross‐sectional study of 142 women (72 with traditional stoves and 70 with cleaner‐burning Justa stoves) in rural Honduras evaluated the association of exposure to household air pollution (stove type, 24‐hour average kitchen and personal fine particulate matter [PM2.5] mass and black carbon) with glycated hemoglobin (HbA1c) levels and diabetic status based on HbA1c levels. The prevalence ratio (PR) per interquartile range increase in pollution concentration indicated higher prevalence of prediabetes/diabetes (vs normal HbA1c) for all pollutant measures (eg, PR per 84 μg/m3 increase in personal PM2.5, 1.49; 95% confidence interval [CI], 1.11‐2.01). Results for HbA1c as a continuous variable were generally in the hypothesized direction. These results provide some evidence linking household air pollution with the prevalence of prediabetes/diabetes, and, if confirmed, suggest that the global public health impact of household air pollution may be broader than currently estimated

Radio Frequency Nonionizing Radiation in a Community Exposed to Radio and Television Broadcasting

Exposure to radio frequency (RF) nonionizing radiation from telecommunications is pervasive in modern society. Elevated disease risks have been observed in some populations exposed to radio and television transmissions, although findings are inconsistent. This study quantified RF exposures among 280 residents living near the broadcasting transmitters for Denver, Colorado. RF power densities outside and inside each residence were obtained, and a global positioning system (GPS) identified geographic coordinates and elevations. A viewshed model within a geographic information system (GIS) characterized the average distance and percentage of transmitters visible from each residence. Data were collected at the beginning and end of a 2.5-day period, and some measurements were repeated 8–29 months later. RF levels logged at 1-min intervals for 2.5 days varied considerably among some homes and were quite similar among others. The greatest differences appeared among homes within 1 km of the transmitters. Overall, there were no differences in mean residential RF levels compared over 2.5 days. However, after a 1- to 2-year follow-up, only 25% of exterior and 38% of interior RF measurements were unchanged. Increasing proximity, elevation, and line-of-sight visibility were each associated with elevated RF exposures. At average distances from > 1–3 km, exterior RF measurements were 13–30 times greater among homes that had > 50% of the transmitters visible compared with homes with ≤ 50% visibility at those distances. This study demonstrated that both spatial and temporal factors contribute to residential RF exposure and that GPS/GIS technologies can improve RF exposure assessment and reduce exposure misclassification

Exposure to Household Air Pollution from Biomass Cookstoves and Levels of Fractional Exhaled Nitric Oxide (FeNO) among Honduran Women

Household air pollution is estimated to be responsible for nearly three million premature deaths annually. Measuring fractional exhaled nitric oxide (FeNO) may improve the limited understanding of the association of household air pollution and airway inflammation. We evaluated the cross-sectional association of FeNO with exposure to household air pollution (24-h average kitchen and personal fine particulate matter and black carbon; stove type) among 139 women in rural Honduras using traditional stoves or cleaner-burning Justastoves. We additionally evaluated interaction by age. Results were generally consistent with a null association; we did not observe a consistent pattern for interaction by age. Evidence from ambient and household air pollution regarding FeNO is inconsistent, and may be attributable to differing study populations, exposures, and FeNO measurement procedures (e.g., the flow rate used to measure FeNO)

Exposure to household air pollution from biomassâ burning cookstoves and HbA1c and diabetic status among Honduran women

Household air pollution from biomass cookstoves is estimated to be responsible for more than two and a half million premature deaths annually, primarily in low and middleâ income countries where cardiometabolic disorders, such as Type II Diabetes, are increasing. Growing evidence supports a link between ambient air pollution and diabetes, but evidence for household air pollution is limited. This crossâ sectional study of 142 women (72 with traditional stoves and 70 with cleanerâ burning Justa stoves) in rural Honduras evaluated the association of exposure to household air pollution (stove type, 24â hour average kitchen and personal fine particulate matter [PM2.5] mass and black carbon) with glycated hemoglobin (HbA1c) levels and diabetic status based on HbA1c levels. The prevalence ratio (PR) per interquartile range increase in pollution concentration indicated higher prevalence of prediabetes/diabetes (vs normal HbA1c) for all pollutant measures (eg, PR per 84 μg/m3 increase in personal PM2.5, 1.49; 95% confidence interval [CI], 1.11â 2.01). Results for HbA1c as a continuous variable were generally in the hypothesized direction. These results provide some evidence linking household air pollution with the prevalence of prediabetes/diabetes, and, if confirmed, suggest that the global public health impact of household air pollution may be broader than currently estimated.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145588/1/ina12484_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145588/2/ina12484.pd