Vybraná judikatura
Vydání první ix, 57 stran ; 24 cm
Publikace se zaměřuje na soudní judikaturu a případy trestní odpovědnosti právnických osob. Určeno odborné veřejnosti.; Přehled soudních rozhodnutí z oblasti trestní odpovědnosti právnických osob na základě právního stavu k 1. 6. 2020.
- MeSH
- právní odpovědnost MeSH
- soudní vědy MeSH
- trestní zákon zákonodárství a právo MeSH
- zákonodárství jako téma MeSH
- Publikační typ
- monografie MeSH
- Geografické názvy
- Česká republika MeSH
- Konspekt
- Trestní právo
- NLK Obory
- právo, zákonodárství
- NLK Publikační typ
- zákony
When drugs are poorly soluble then, instead of the potentiometric determination of dissociation constants, pH-spectrophotometric titration can be used along with nonlinear regression of the absorbance response surface data. Generally, regression models are extremely useful for extracting the essential features from a multiwavelength set of data. Regression diagnostics represent procedures for examining the regression triplet (data, model, method) in order to check (a) the data quality for a proposed model; (b) the model quality for a given set of data; and (c) that all of the assumptions used for least squares hold. In the interactive, PC-assisted diagnosis of data, models and estimation methods, the examination of data quality involves the detection of influential points, outliers and high leverages, that cause many problems when regression fitting the absorbance response hyperplane. All graphically oriented techniques are suitable for the rapid estimation of influential points. The reliability of the dissociation constants for the acid drug silybin may be proven with goodness-of-fit tests of the multiwavelength spectrophotometric pH-titration data. The uncertainty in the measurement of the pK (a) of a weak acid obtained by the least squares nonlinear regression analysis of absorption spectra is calculated. The procedure takes into account the drift in pH measurement, the drift in spectral measurement, and all of the drifts in analytical operations, as well as the relative importance of each source of uncertainty. The most important source of uncertainty in the experimental set-up for the example is the uncertainty in the pH measurement. The influences of various sources of uncertainty on the accuracy and precision are discussed using the example of the mixed dissociation constants of silybin, obtained using the SQUAD(84) and SPECFIT/32 regression programs.
- MeSH
- antioxidancia analýza chemie MeSH
- časové faktory MeSH
- chemické modely MeSH
- financování organizované MeSH
- koncentrace vodíkových iontů MeSH
- léčivé přípravky chemie MeSH
- metoda nejmenších čtverců MeSH
- regresní analýza MeSH
- silymarin analýza chemie MeSH
- spektrofotometrie metody MeSH
- stabilita léku MeSH
- titrace metody MeSH
A critical comparison of the various PCA methods on the absorbance matrix data concerning the complexation equilibria between SNAZOXS and Cd(2+), Co(2+), Cu(2+), Ni(2+), Pb(2+) and Zn(2+) or Naphtylazoxine 6S and Cd(2+), Cu(2+), Ni(2+) and Zn(2+) at 25 degrees C is performed. The number of complex species in a complex-forming equilibria mixture is the first important step for further qualitative and quantitative analysis in all forms of spectral data treatment. Therefore, the accuracy of the nine selected index functions for the prediction of the number of light-absorbing components that contribute to a set of spectra is critically tested using the principal component PCA algorithm INDICES in S-Plus software. Four precise methods based upon a knowledge of the experimental error of the absorbance data and five approximate methods requiring no such knowledge are discussed. Precise methods always predict the correct number of components even a presence of the minor species in mixture. Due to the large variations in the index values and even at logarithmic scale they do not reach an obvious point where the slope changes. An improved identification with the second or third derivative and derivative ratio function for some indices is preferred. Behind the number of various complexes formed the stability constants of species ML, ML(2), (and ML(3), respectively) type logbeta(11), logbeta(12), (and logbeta(13), respectively) for the system of SNAZOXS (ligand L) with six metals (the standard deviation s(logbeta(pq)) of the last valid digits are in brackets) Cd(2+) (4.50(3), 8.36(7)), Co(2+) (5.75(6), 9.79(9), 13.05(2)), Cu(2+) (6.69(6), 11.40(7)), Ni(2+) (6.44(8), 10.91(11), 15.07(10)), Pb(2+) (5.63(5), 9.97(9)) and Zn(2+) (5.11(3), 8.84(5)) and for system of Naphtylazoxine 6S with Cd(2+) (6.08(4), 11.44(7), 16.06(11)), Cu(2+) (7.80(8), 13.41(14)), Ni(2+) (6.35(12), 11.43(19), 16.68(24)) and Zn(2+) (7.01(8), 12.65(15)) at 25 degrees C are estimated with SQUAD(84) nonlinear regression of the mole-ratio spectrophotometric data. The proposed strategy of an efficient experimentation in a stability constants determination, followed by a computational strategy, is presented with goodness-of-fit tests and various regression diagnostics able to prove the reliability of the chemical model proposed
The mixed dissociation constants of five drug acids-ambroxol, antazoline, naphazoline, oxymetazoline and ranitidine-at various ionic strengths I of range 0.01 and 1.0 and at temperatures of 25 and 37 degrees C were determined using SQUAD(84) regression analysis of the pH-spectrophotometric titration data. A proposed strategy of efficient experimentation in a protonation constants determination, followed by a computational strategy for the chemical model with a protonation constants determination, is presented on the protonation equilibria of ambroxol. The thermodynamic dissociation constant pK(a)(T) was estimated by non-linear regression of {pK(a), I} data at 25 and 37 degrees C: for ambroxol p K (a ,1)(T )=8.05 (6) and 8.25 (4), logbeta (21)(T )=11.67 (6) and 11.83 (8), for antazoline p K (a ,1)(T )=7.79 (2) and 7.83 (6), p K (a ,2)(T )=9.74 (3) and 9.55 (2), for naphazoline pK (a ,1)(T )=10.81 (1) and 10.63 (1), for oxymethazoline pK (a ,1)(T )=10.62 (2) and 10.77 (7), pK(a,2)(T)=12.03(3) and 11.82 (4) and for ranitidine p K (a ,1)(T )=1.89 (1) and 1.77 (1). Goodness-of-fit tests for various regression diagnostics enabled the reliability of the parameter estimates to be found.
- Klíčová slova
- SILYCHRISTIN, SILYDIANIN, SILYBININ,
- MeSH
- faktorová analýza statistická metody MeSH
- farmakologie MeSH
- farmakoterapie MeSH
- léčivé přípravky analýza MeSH
- oxymetazolin analýza farmakologie terapeutické užití MeSH
- ranitidin analýza farmakologie terapeutické užití MeSH
- regresní analýza metody MeSH
- spektrofotometrie metody přístrojové vybavení MeSH
- Publikační typ
- přehledy MeSH
