About: Oligomers-Model Building in Protonation Equilibria of Sitagliptin     Goto   Sponge   NotDistinct   Permalink

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Description
  • Mixed protonation constants of sitagliptin phosphate at various ionic strengths I (mol kg(-1)) in range 0.01 and 0.50 and at 298.15 K are determined using FBSTAC4 and HYPERQUAD nonlinear regression analyses of the potentiometric titration curve. At a low concentration c(L) = 1.1 mmol kg(-1) the monomers L, LH, LH2, LH3 and LH4 dominate, while for a concentration range from c(L) = 13.7 to 24.7 mmol kg(-1) dimers L2H2, L2H3, L2H4 and L2H are mainly present. The regression programme has almost no influence on the precision of the protonation constants. The accuracy of the protonation constants log beta(qr) depends on the accuracy of the group parameters. As two group parameters c(L,0), c(H,T) are ill-conditioned in a model, their determination is therefore uncertain: both can significantly cause a systematic error in the estimated common parameters log(10)beta(qr). Fitness tests using regression diagnostics have proven the reliability of the parameter estimates.
  • Mixed protonation constants of sitagliptin phosphate at various ionic strengths I (mol kg(-1)) in range 0.01 and 0.50 and at 298.15 K are determined using FBSTAC4 and HYPERQUAD nonlinear regression analyses of the potentiometric titration curve. At a low concentration c(L) = 1.1 mmol kg(-1) the monomers L, LH, LH2, LH3 and LH4 dominate, while for a concentration range from c(L) = 13.7 to 24.7 mmol kg(-1) dimers L2H2, L2H3, L2H4 and L2H are mainly present. The regression programme has almost no influence on the precision of the protonation constants. The accuracy of the protonation constants log beta(qr) depends on the accuracy of the group parameters. As two group parameters c(L,0), c(H,T) are ill-conditioned in a model, their determination is therefore uncertain: both can significantly cause a systematic error in the estimated common parameters log(10)beta(qr). Fitness tests using regression diagnostics have proven the reliability of the parameter estimates. (en)
Title
  • Oligomers-Model Building in Protonation Equilibria of Sitagliptin
  • Oligomers-Model Building in Protonation Equilibria of Sitagliptin (en)
skos:prefLabel
  • Oligomers-Model Building in Protonation Equilibria of Sitagliptin
  • Oligomers-Model Building in Protonation Equilibria of Sitagliptin (en)
skos:notation
  • RIV/00216275:25310/13:39896226!RIV14-MSM-25310___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, S
http://linked.open...iv/cisloPeriodika
  • 11
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 93596
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25310/13:39896226
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • protonation constant; sitagliptin phosphate; dimer; curve fitting; pH-titration; regression analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • PL - Polská republika
http://linked.open...ontrolniKodProRIV
  • [9BDC22642C7F]
http://linked.open...i/riv/nazevZdroje
  • Central European Journal of Chemistry
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 11
http://linked.open...iv/tvurceVysledku
  • Pekárek, Tomáš
  • Ferenčíková, Zuzana
  • Meloun, Milan
  • Niesnerová, Irena
http://linked.open...ain/vavai/riv/wos
  • 000324816000010
issn
  • 1895-1066
number of pages
http://bibframe.org/vocab/doi
  • 10.2478/s11532-013-0304-6
http://localhost/t...ganizacniJednotka
  • 25310
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