4 research outputs found

    Investigation of Optimum pH and Temperature for In-Vitro Crystallization of Urinary Cystine

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    Cystinuria contributes in formation of urinary stones. But, it has been reported that cystinuria is diagnosed when someone experiences with cystine stones. Therefore, early diagnosis of this condition is important. Thus, the objective of the study was to determine the optimum pH and temperature for crystallization of urine cystine in-vitro. Cystinuria solutions were prepared with the concentrations of 40, 60, 70, 75, 80, 90, 100 and 120 mg/dL. The pH of each solution was changed with the addition of acetic acid. Then solutions were exposed to temperature +4°C and 37°C, for 15, 30 and 45min. The sediments were observed microscopically for cystine crystals formation. Then acetone was added to cystinuria with the ratio of cystinuria:acetone, 8:1, 4:1, 2:1 and 1.1 and pH was altered with acetic acid and were subjected to +4 °C and 37 °C, for 15, 30 and 45 minutes and sediment was observed for cystine crystals under the microscope. Cystine crystallization had been occurred in the cystinuria of ≥100 mg/dL at pH 5 at 37 ° C and +4 °C, 30min after the addition of acetic acid whereas with the addition of acetone at cystinuria of ≥75mg/dL at pH 5 in both 37°C and at +4°C, 30min after the addition of acetic acid. The number of cystine crystals per High Power Field (HPF) was highest where cystinuria:acetone was 8:1.  The optimum conditions for cystine crystallization is at pH 5, 37 °C and +4 °C, 30min after acidifying with acetic acid at the minimum concentration of 100 mg/dL  of cystinuria. With the addition of acetone, at the ratio of cystinuria:acetone 8:1 with minimum concentration of cystinuria of 75 mg/dL.   KEYWORDS: Cystine, Crystallization, Acetic acid, Acetone, Temperature, p

    AN INVESTIGATION OF THE NOISE ABSORPTION POTENTIAL OF A SIX SELECTED GRASS SPECIES

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    Grass has a high leaf density and requires minimum space to grow. This experiment was designed to determine the sound absorption behaviour of six grass species (Zoysia matrella (L) Merr., Stenotaphrum dimidiatum(L.) Brongn, Panicum repens (L.), Eleusine indica (L.) Gaertn., Axonopus compressus (Sw) P. Beauv, and Ischaemum sp.) for their possible use as noise screens. The sound absorption of each morphological leaf structure was studied. For Sound Absorption Coefficients (SAC) (α) studies, the reverberation room method under ISO 345:2003 standards was followed. A B&K dodecahedron Omni-directional speaker, power amplifier, and 2250L handheld analyser were used for reverberation time and RT60 measurements. Microscopic images of grass leaves were analysed using ImageJ software. This study revealed that grasses with the highest and lowest SAC for higher noise frequencies (> 1500 Hz) are S. dimidiatum Brongn and A. compressus, respectively. The SAC of S. dimidiatum Brongn positively correlated with noise frequency. In general, the correlation of SAC (α) with noise frequency (f) is in the form of log10α = a1log10f + b1 where a1 and b1 are grass type-dependent constants. The morphological parameters like total leaf area, total sample area, plant height, and sample dry weight strongly correlated with the SAC. But leaf thickness, length, width, surface area, and the weight of the sample poorly correlated with SAC in the frequency range

    Presence of Helicobacter pylori in betel chewers and non betel chewers with and without oral cancers

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    <p>Abstract</p> <p>Background</p> <p>Betel chewing has been shown to predispose to periodontal disease and oral cancer. Studies show that people with gum disease are more likely to test positive for <it>Helicobacter pylori (H. pylori)</it>. It is not known if the lesions produced by betel quid and the resulting, chemical changes predispose to colonization by <it>H. pylori</it>. Further the role of this organism in oral cancer is not known. Our objective was to determine the presence of <it>H. pylori </it>in oral lesions of thirty oral cancer patients and to determine the presence of IgG antibodies to <it>H. pylori </it>in oral cancer patients who are betel chewers and non betel chewers, healthy betel chewers and healthy non-betel chewers and to compare the presence of <it>H</it>. <it>pylori </it>in these four groups. This case control study was conducted at the Cancer Institute Maharagama and the Department of Microbiology, Faculty of Medical Sciences, University of Sri Jayewardenepura.</p> <p>Methods</p> <p>One hundred and seventy three subjects, of whom fifty three were patients presenting with oral cancer to the Cancer Institute Maharagama, sixty healthy betel chewers and sixty healthy non-betel chewers from the Religious and Welfare Service Centre Maharagama were tested for <it>H. pylori </it>by serology. Thirty oral biopsies from oral cancer patients were cultured under microaerophilic condition to isolate <it>H. pylori</it>. The statistic used was Chi-square test.</p> <p>Results</p> <p>Of the fifty-three oral cancer patients, forty-four were betel chewers. Among the 53 oral cancer patients examined, ten of forty-four (10/44 = 22.7%) patients who are betel chewers and four of nine (4/9 = 44.4%) patients who are non-betel chewers were detected positive for IgG antibody against <it>H. pylori</it>. In the healthy group (betel chewers and non betel chewers) ten (16.7%) of the healthy betel chewers tested positive for <it>H. pylori </it>by serology. None of the healthy non-betel chewers tested positive for <it>H. pylori</it></p> <p>Fourteen [26.4%] of oral cancer patients tested positive for <it>H. pylori </it>by serology, of which two were also culture positive (Only thirty samples were cultured). The presence of <it>H. pylori </it>in betel chewers (with or without cancer) compared to non-betel chewers was statistically significant. (Chi-square test p < 0.05) The use of tobacco and areca nut in betel chewers was significant with the presence of <it>H. pylori </it>(p < 0.05).</p> <p>Conclusion</p> <p>There is a significant higher proportion of <it>H. pylori </it>in betel chewers compared to non-betel chewers but not between oral cancer patients compared to patients without oral cancer. Hence Betel chewing may predispose to colonisation with <it>H. pylori </it>in the digestive tract through swallowing the quid or during betel chewing.</p

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    Not AvailableResource shortages, driven by climatic, institutional and social changes in many regions of Asia, combined with growing imperatives to increase food production whilst ensuring environmental sustainability, are driving research into modified agricultural practices. Well-tested cropping systems models that capture interactions between soil water and nutrient dynamics, crop growth, climate and farmer management can assist in the evaluation of such new agricultural practices. One such cropping systems model is the Agricultural Production Systems Simulator (APSIM). We evaluated APSIM’s ability to simulate the performance of cropping systems in Asia from several perspectives: crop phenology, production, water use, soil dynamics (water and organic carbon) and crop CO2 response, as well as its ability to simulate cropping sequences without reset of soil variables. The evaluation was conducted over a diverse range of environments (12 countries, numerous soils), crops and management practices throughout the region. APSIM’s performance was statistically assessed against assembled replicated experimental datasets. Once properly parameterised, the model performed well in simulating the diversity of cropping systems to which it was applied with RMSEs generally less than observed experimental standard deviations (indicating robust model performance), and with particular strength in simulation of multi-crop sequences. Input parameter estimation challenges were encountered, and although ‘work-arounds’ were developed and described, in some cases these actually represent model deficiencies which need to be addressed. Desirable future improvements have been identified to better position APSIM as a useful tool for Asian cropping systems research into the future. These include aspects related to harsh environments (high temperatures, diffuse light conditions, salinity, and submergence), conservation agriculture, greenhouse gas emissions, as well as aspects more specific to Southern Asia and low input systems (such as deficiencies in soil micro-nutrients).Not Availabl
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