The agricultural production of peppermint has been shown to contribute significant quantities of nitrate-nitrogen to groundwater recharge. In an effort to provide new tools for increasing nitrogen efficiency within peppermint production, three research questions were proposed: i) How should plant tissue samples be collected to achieve the greatest precision when using the mint stem nitrate test for nitrogen management?; ii) What is the consumptive use of water by peppermint in the post-harvest period?; and iii) How does irrigation uniformity affect nitrate loading to groundwater when N is supplied through chemigation? In the first investigation, structured field experiments were designed and conducted on commercial peppermint fields to isolate potential environmental, management, and sampling influences on stem nitrate test results. The most significant effects observed were those of the type of stem material collected (a 441% effect at p<0.001) and the number of stems collected to estimate the field mean concentration. It was found that the variance of the sample population and the number of stems required for a given sampling error could be greatly reduced by only collecting stems from within the plant canopy. Less pronounced but statistically significant differences in stem nitrate concentrations were produced by variations in solar radiation on hourly (a 17% effect at p<0.05) and daily (a 29% effect at p<0.01) scales. In an analysis of stem nitrate spatial variability, a purely random distribution of stem nitrate concentrations was observed on the 1-150 m scale. For the second investigation, a field study was conducted to measure the consumptive use of peppermint in the post-harvest period and to develop crop coefficients (Kc) used to predict evapotranspiration rates. The soil water balance was measured on two fields with a neutron moisture probe over an 80 day period. Over the 49 days following harvest, a cumulative consumptive use of 96 mm was observed. Basal crop coefficients increased from near zero to approximately 0.40 within 40 days post-harvest. The third, and final, investigation developed a simple heuristic statistical model to explore the effective adequacy of chemical application as influenced by the uniformity of irrigation. To perform this analysis, an expression was presented whereby irrigation distribution parameters for the normal, or Gaussian, model could be derived from common irrigation design terms. The results of this model indicate that the effective chemical adequacy is greatly compromised when the irrigation uniformity coefficient is low and/or the design irrigation adequacy is high. / Graduation date: 1998

Organic nitrates, such as glyceryl trinitrate (GTN), have been used clinically for more than a century. However optimal nitrate therapy is hindered by the development of tolerance, which is associated with a desensitized response to GTN, oxidative stress, and the inactivation of aldehyde dehydrogenase 2 (ALDH2). This thesis evaluated the ALDH2 inactivation hypothesis of GTN tolerance and investigated the role of oxidative stress in GTN tolerance mediated by the lipid peroxidation product, 4-hydroxynonenal (HNE). Evidence for a direct role of ALDH2 in nitrate action was sought using a stably transfected cell line that overexpressed ALDH2, or siRNA to deplete endogenous ALDH2. Neither manipulation altered GTN-induced cGMP formation, indicating that ALDH2 does not mediate GTN bioactivation and tolerance. In a second study using an in vivo GTN tolerance model and a cell culture model of nitrate action, a marked increase in HNE adduct formation was detected in GTN-tolerant tissues, and treatment with HNE reduced the cGMP and vasodilator responses to GTN, thus mimicking GTN-tolerance. Together, the results suggest a primary role for HNE in the development of GTN tolerance, and provide the framework for a unified hypothesis that accommodates the previous findings of sulfhydryl depletion, ALDH2 inactivation and oxidative stress that are associated with nitrate tolerance. Studies have implicated oxidative stress and increased HNE formation in the pathogenesis of Alzheimer’s disease (AD). It was hypothesized that the gene deletion of ALDH2 would result in increased HNE-adduct formation leading to impaired cognitive function, and AD-like pathological changes. We observed a marked increase in HNE-adduct formation in Aldh2-/- mouse hippocampi as well as hyperphosphorylated tau, activated caspases, age-related changes in hippocampal amyloid βeta1-42 (Aβ1-42), post-synaptic density protein 95 (PSD95) and phosphorylated cyclic adenosine monophosphate response element binding protein (pCREB) expression, endothelial dysfunction and other vascular pathologies. These data provide further evidence for the importance of HNE and oxidative stress in AD pathogenesis, and establish Aldh2-/- mice as a new, oxidative stress-based animal model of age-related cognitive impairment and AD. / Thesis (Ph.D, Pharmacology & Toxicology) -- Queen's University, 2013-05-31 11:10:58.145

Excessive nitrates in drinking water pose a human health threat, especially to infants. Methemoglobinemia, or blue-baby syndrome, is a potentially fatal condition that inhibits the ability of red blood cells to bind and transport oxygen. Nitrates/nitrites have also been linked to such conditions as cancer, birth defects, and behavioral and developmental abnormalities. Nitrates are frequently found in wells in rural farming areas because synthetic fertilizers (containing nitrates) leach from the soil into the groundwater. The Lower Umatilla Basin (LUB) in Morrow and Umatilla counties of Oregon represents an intensively farmed and irrigated area in which relatively high amounts of nitrates are present in the groundwater and domestic well water. This study investigated population demographics for the rural Lower Umatilla Basin, comparing these data to identified well-water nitrate levels for the purpose of estimating nitrate exposures and potential risk of adverse health effects in the survey area. Results of the investigation revealed that 25 percent of the domestic-use wells in the survey area had nitrate levels that were in excess of the 10 ppm nN MCL for drinking water, as established by the U.S. Environmental Protection Agency. From access to these wells, 23 percent of the surveyed population was exposed to nitrate concentrations in excess of the MCL standard. However, resident infants were neither exposed to well-water nitrates in excess of the standard, nor were they exposed to illness that could have increased the risk of methemoglobinemia. The LUB survey population was generally older than the populations from cities in the LUB or the combined populations of rural areas of Morrow and Umatilla counties. The population included few women of childbearing age, and it was not subject to an appreciable increase in the proportion of younger to older families. These factors reduced the likelihood of a significant increase in the infant population, which also minimized the risk of methemoglobinemia to this population. Even though the risk of methemoglobinemia to infants was low in the LUB area, it is recommended that exposures to well-water nitrates be prevented, if possible even for adults, to reduce the potential for chronic, adverse health effects from excess nitrate ingestion. Continued monitoring of private wells by state agencies is recommended, with attention directed at domesticuse wells with nitrate levels in excess of 10 ppm nN. This information should be shared with local health departments for follow-up, investigation, and educational efforts as needed. Future studies by the Oregon DEQ, or other agencies which seek to document the sources of well-water nitrate contamination in the LUB, should include an investigation of the influence of local sources of nitrate contamination. / Graduation date: 1993

Land application of industrial wastewater with high levels of nitrogen requires adequate management practices to prevent groundwater pollution by nitrates. In this study a predictive computerized model was developed for nitrate leachate concentrations resulting from land application of wastewater onto crop systems including poplars. The study included a literature review, development of a computer program that could serve this purpose, and a field investigation to test the validity of the computed predictions. The literature review focused on poplar water and nitrogen uptakes, and suggested that mature poplars could uptake up to 400 lb of nitrogen /acre/year and 2 3 million gallons of water per acre per year. The computer model, based on 10-day water and nutrient balances, takes into account a number of parameters such as wastewater quality, evapotranspiration and precipitation data, irrigation volumes, soil water holding capacities, fertilization, crop nutrient uptakes and crop coefficients. This study involves a number of assumptions selected to give conservative (i.e., worst case approach) model predictions. Attempts to validate the model were conducted through soil and groundwater sampling along with precipitation data collection in four distinct fields in Brooks, Oregon, from October 1996 to April 1997. The variations in nitrogen soil profiles from October to April helped determine the amount of nitrogen leaving the soil, and groundwater samples from 5 feet deep wells gave nitrate concentrations in groundwater below the root zone. A sensitivity analysis of the program demonstrated how important nitrogen and water uptakes values were to the model predictions. An increase of 1% in nitrogen uptake or of 0.4% in crop coefficients generated 1% decrease in nitrogen concentration of the leachate. These results are important to consider when adopting highly uncertain literature values for crop uptakes -especially with poplars. The field validation of the model showed promising results in terms of estimating average yearly leachate concentrations in nitrogen resulting from land application of wastewater, but also suggested that more groundwater wells were needed to obtain a statistically significant validation of the model. These preliminary field results indicate that the model can provide an indication of groundwater nitrogen concentration trends but needs to further verified to be used confidently as a predictive tool. / Graduation date: 1998

AbstractThe number and distances of metal-oxygen and metal-metal interactions were determined for various concentrations of aqueous metal nitrate solutions by modified x-ray diffraction techniques. The number of M-O interactions ranges from four to five in the 0.8 M and 1.2 M AgNO3 solutions and from six to nine in the 0.8 M, 1.2 M, and 1.6 M Pb(N03)2 solutions. The 1.6 M Ce(N03)3 solution has eight to nine Ce-O interactions, while one Hg-Hg interaction is found for the H92 (N03)2 solutions. For the silver and lead nitrate solutions, the number of M-0 interactions decreases with an increase in concentration. The cations also effect the number of interactions. Based on the nature of their RDF's, the lead and cerium ions are classified as positively hydrated and the silver ion is negatively hydrated.Ball State UniversityMuncie, IN 47306

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Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (leaves 154-161).

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Research report on the dynamics of nitric compounds in different water levels of shallow wells, located in Pypliai, Kaunas District, is given in the thesis. Subject of research – water quality indicators: nitrates (NO3-), nitrites (NO2-) and ammonium (NH3). Aim of research – to define variation of nitrates concentrations in different water levels of shallow wells. Methodology: analysis of scientific literature; chemical water quality analyzes methods: spectral and electrochemical methods; statistical analysis using EXCEL, STATISTICA programs. Results of research: the results of scientific research showed, that nitrates concentrations in deeper levels of shallow wells vary differently; the tendencies of these variations depend on seasons. Seasons make no impact to nitrites and ammonium concentrations in deeper levels of shallow wells. The following statistically relevant water indicators were determined to influence nitrate concentration in shallow well water: oxygen quantity and electrical conductivity. Nitrite concentrations are inversely proportional to oxygen amount. Ammonium concentrations depend on organic compound quantity. Statistically relevant links between nitrites and ammonium were estimated.