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The usefulness of a new analytical method called bromocresole purple index (BCPI) for determination of trypsin inhibitor activity (TIA) of microwave‑heated bean seeds was tested. The study was conducted on bean seeds of “Jaś” cultivar which were microwave heated using one of ten variants of that process intensity. Each of the three radiation power levels (350, 500, or 650W) corresponded to three different processing times (60, 120, or 180 s), and one of the samples remained untreated (i.e. unheated). Each sample was analysed using the BCPI method and the TIA method (with a synthetic substrate BAPA – N-α-benzoyl-DL-arginine-p-nitroanilide). The comparison of those two analytical methods (BCPI and TIA) used to analyse the microwave‑heated bean seeds samples indicates the superiority of bromocresole purple index method in terms of time consumption (τTIA=2.5 h, τBCPI=1.5 h), distinguishability (ρTIA=51.11%; ρBCPI=71.11%), accuracy of determination (lower coefficient of variation; πTIA=3.02–9.27; πBCPI=1.22–5.88) and detectability (detectable minimum μTIA=10.32 and μBCPI=5.01), whereas the TIA assayed proved superior in terms of method sensitivity (χTIA=0.40; χBCPI=0.16). The statistical analysis of experimental data indicates also that the results obtained for microwave-heated bean seeds using BCPI and TIA-BAPA methods are highly correlated (correlation coefficient r=95.28%), moreover both those traits may be related by mathematical functions TIA= f(BCPI). The usefulness of some of those traits in the analysis was confirmed statistically; based on high coefficients of determination of these equations to experimental data (e.g. R2=90.72% for linear equation and R2=91.11% for the IVo polynomial equation). Due to the specificity of quick, routine tests performed at an industrial laboratory, the application of the simplest linear regression equation: TIA=f(BAPA) seems to be the most justified, whereas its coefficient of determination R2 (in description of experimental data) should assure the reliability of calculations.
A study was undertaken to examine the usability of a new analytical method, referred to as bromocresole purple index (BCPI), for the evaluation of neurotoxins activity in autoclaved seeds of chickling vetch (determined as converted into β-N-oxalyl-L alanine - BOAA). The experimental material were seeds of chickling vetch of Polish cultivar Krab, autoclaved under conditions of one of the ten intensity variants of that process. In the process, three periods of seeds exposure (10, 20 or 30 min) correspond to three level of thermal treatment (112oC, 121oC or 134oC). One sample was left untreated (i.e. without heating). Each of the mentioned samples was analysed with the BCPI and BOAA methods. A statistical analysis of the experimental results indicates that the BCPI and BOAA methods are co-dependent in the examination of autoclaved chickling vetch seeds (r=86.34%), and that both the parameters may be linked with hypothetical mathematical functions TIA = f(BOAA). The usability of those functions in the analysis was confirmed statistically by the obtained high coefficients of fit of their equations to the actual experimental data (R2 ranging from 83.79% in a linear equation to 94.09% in a polynomial quartic equation).
The aim of the work was to assess the temporal distribution of NO2 and NOx concentration in relation to wind direction and to determine the effect of major meteorological elements on the size of NO2 and NOx concentration in northwest Poland. In the area of the research, in the period from 1st May 2005 to 30th April 2007 the highest average concentration of NO2 and NOx, both during cold and warm half-years, occurred with southeasterly wind, and the lowest with south-westerly wind for NO2 and with north-easterly wind for NOx. The highest determination coeffi cients and, at the same time, the smallest estimation errors for multiple regression equations, describing the dependence of the concentration of NO2 and NOx from meteorological elements, were obtained with westerly wind in the cold half-year and with south-westerly wind in the warm half-year.
Basis of the study was made up of the results of automatic, hourly measurements of air temperature and bare soil temperature originating from the agrometeorological station in Lipnik (53°21’ N; 14°58’ E, 30 m AMSL) from the period of 2001-2005. Basing on the results of the linear regression analysis, relationships for particular months were determined between daily soil temperature at four depths and air temperature set in seven different combinations. It was stated that the highest possibilities of daily soil temperature prediction in profile to 50 cm are characteristic for the air temperature that is the average from 24 hourly measurements. Average absolute differences between the actual soil temperature and the one calculated from equations for this relation oscillate in the particular months between 1.3°C at the depth of 5 cm and 0.5°C at the depth of 50 cm. On average, the smallest differences apply to the warm half of the year and the depth of 50 cm. It was shown that significantly smaller possibilities of the estimation of daily soil temperature values are characteristic for daily air temperature amplitude.
Usefulness of analytical method (bromocresole purple index – BCPI) as a new and fast way for available lysine (LA) content determination in micro-waved soybean seeds was tested. Due to a great interdependence of LA and BCPI determinations, which was confirmed by high correlation and determination coefficients values (r = 0.78 and R2) for proposed regression equations LA = f(BCPI), the BCPI method appeared to be useful for the description of available lysine (LA) content changes in micro-waved soybean seeds and soybean meal.
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