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Homeopatiškai paruošti preparatai iš Juglans nigra L. kevalo: biologiškai aktyvių junginių analizė ir antioksidacinio aktyvumo tyrimas / Homeopatically produced preparation from Juglans nigra L. shell: the analysis of biologically active compounds and the antioxidant activity studyPeleckytė, Urtė 01 July 2014 (has links)
Homeopatiniais vadinami preparatai, kurie yra pagaminti iš homeopatinių žaliavų, naudojant homeopatinės gamybos procedūras. Biologiniam homeopatinių preparatų aktyvumui tirti mokslininkai naudoja tuos pačius tyrimų metodus, kaip ir kitų rūšių cheminiams preparatams [32]. Šiam tyrimui pasirinkta homeopatinė juodojo riešuto (Juglans nigra L.) kevalo tinktūra ir jos D1 bei C1 praskiedimai – tai nedidelio laipsnio skiediniai, kuriuose veikliąsias medžiagas dar galima įdentifikuoti ir koncentracijas bei biologinį aktyvumą vertinti turimais tyrimo metodais.
Mokslinės literatūros šaltiniuose skelbiama, jog juodojo riešuto kevale yra devynios pagrindinės cheminės medžiagos [29]. Nustatyta, jog riešuto viena iš pagrindinių veikliųjų medžagų yra juglonas, kuris turi citotoksinių savybių prieš melonomos, kepenų, plaučių, širdies, kraujo ląsteles [25,28,38,39]. Kadangi mokslinių tyrimų su preparatais, pagamintais iš juodojo riešuto, atlikta nedaug, todėl buvo pasirinkta ištirti polifenolinių junginių, juglono kiekį pagamintuose tirpaluose bei nustatyti jų antioksidacines savybes.
Darbo tikslas:
Homeopatiškai paruošti iš juodojo riešuto kevalo pradinę tinktūrą ir jos D1 bei C1 praskiedimus, ištirti polifenolinių junginių, juglono kiekį ir įvertinti antioksidantinį aktyvumą.
Metodai:
Pagaminta pradinė homeopatinė tinktūra (urtinktūra) ir jos skiediniai pagal Homeopatijos farmakopėjos reikalavimus (HAB 2000, 3a taisyklė).
Spektrofotometriškai nustatytas polifenolinių junginių... [toliau žr. visą tekstą] / Preparations referred to as homoeopathic are those made of homoeopathic raw materials using homoeopathic manufacturing procedures. In order to measure biological activity of homoeopathic preparations scientists use the same investigation methods as with other kinds of chemical products [30]. For this study homoeopathic tincture of black walnut (Juglans nigra L.) shell and its D1and C1 dilutions have been selected as these produce low-grade solutions in which active substances still can be identified and concentrations as well as bioactivity can be assessed by available methods of testing.
The scientific literature sources state that the black walnut shell contains nine basic chemical substances [29]. It is found that one of the basic active ingredients is juglone which possesses cytotoxic properties effective against melanoma, the liver, lung, heart and blood cells. [25,28,38,39]. As the studies of black walnut preparations are not so common, we have chosen to investigate the juglone amount and polyphenolic compounds in solutions and to measure their antioxidant properties.
The aim of the research:
To produce homoeopathically original tincture of the black walnut shell and its D1 and C1 dilutions, to explore polyphenolic compounds, the level of juglone and evaluate their antioxidant activity.
The methodology:
Original homoeopathic tincture (urtincture) and its solutions were produced following the specification of Homoeopathy Pharmacopoeia (HAB 2000, rule 3a)... [to full text]
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<b>HYPERSPECTRAL CHARACTERIZATION OF FOREST HEALTH</b>Sylvia Park (19203892) 26 July 2024 (has links)
<p dir="ltr">Reflectance spectroscopy has been increasingly used in forestry due to its ability to rapidly, efficiently, and non-destructively detect tree stress, enabling timely and cost-effective forest management decisions. This dissertation synthesizes three studies and five experiments to understand and improve our ability to use spectral data to estimate a variety of foliar physiochemical traits and identify spectral responses in multi-stress environments, thus, advancing our understanding and application of hyperspectral data in forest management.</p><p dir="ltr">The first study seeks to refine the hyperspectral approach to monitoring tree stress by selecting optimal wavelength ranges to enhance the estimation of foliar traits, such as CO<sub>2</sub> assimilation rate, specific leaf area, leaf water content, and concentrations of foliar nitrogen, sugars, and gallic acid. The study revealed that model performance varied significantly across the different wavelength ranges tested and consistently, including longer wavelength regions improved trait estimation for all traits modeled. This research also established a framework for discovering novel or previously unknown absorption features associated with functional traits, thereby laying the groundwork for expanded spectral applications. This advancement enables the estimation of diverse foliar traits and facilitates detailed stress detection in trees.</p><p dir="ltr">The second study focuses on assessing the effectiveness of hyperspectral data in estimating foliar functional trait responses to various biotic and abiotic stressors and to differentiate those stressors in black walnut (<i>Juglans nigra </i>L.) and red oak (<i>Quercus rubra</i> L.) seedlings. We demonstrated that spectral data can reliably estimate a wide range of foliar traits, highlighting its potential as a surrogate for reference data in understanding plant responses to stress. This research revealed that spectral leaf predictions can effectively provide stress-specific insights into tree physiochemical responses to biotic and abiotic stressors.</p><p dir="ltr">The third study explores the application of hyperspectral reflectance to identify drought-induced foliar responses in black walnut seedlings during their initial field establishment. Chemometric models developed from greenhouse experiments were applied to spectral data collected in the field to assess their transferability and accuracy in predicting various leaf traits under drought stress. Using only spectral data, we demonstrated that seedlings show distinct spectral responses to past and ongoing drought stress, with varying degrees depending on seed provenances. This research aims to provide practical insights for utilizing spectral analysis in real-world conditions and understanding the challenges of using spectral tools in the field.</p><p dir="ltr">Collectively, this dissertation demonstrates the robust potential of hyperspectral reflectance technology in advancing the monitoring of tree health. By optimizing spectral range selection, reliably estimating tree foliar traits under stress conditions, differentiating various stressors in controlled environments, and effectively detecting current and past drought stress in field conditions, this research offers valuable insights for improving forest health monitoring and management strategies in response to environmental challenges.</p>
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