CRITICAL DISSOLUTION TESTS OF ORAL SYSTEMS BASED ON STATISTICALLY DESIGNED EXPERIMENTS - III - IN-VITRO IN-VIVO CORRELATION FOR MULTIPLE-UNIT CAPSULES OF PARACETAMOL BASED ON PLS MODELING
R. Abuzaruraloul et al., CRITICAL DISSOLUTION TESTS OF ORAL SYSTEMS BASED ON STATISTICALLY DESIGNED EXPERIMENTS - III - IN-VITRO IN-VIVO CORRELATION FOR MULTIPLE-UNIT CAPSULES OF PARACETAMOL BASED ON PLS MODELING, Drug development and industrial pharmacy, 24(4), 1998, pp. 371-383
The main aims of the present study were to establish an in vitro/in vi
vo correlation for multiple-unit capsules of paracetamol by means of s
tatistical prediction models and to investigate the effect of a number
of in vitro variables on the discussion rate of paracetamol from the
formulation. A fractional factorial screening design was used to inves
tigate the effects of the variables agitation, pH, osmolality, viscosi
ty, and the presence of bile salt on the dissolution rate of paracetam
ol. The effects were evaluated in two separate partial least-squares m
odels, in which the responses were expressed as the cumulative percent
age of paracetamol dissolved at specified time-points (model I) and as
the shape (beta) and scale (eta) parameters according to the Weibull
function (model II). It was concluded that agitation and viscosity had
significant effects on the dissolution rate of paracetamol. Statistic
al models based on the responses from models I and II were then used t
o predict the in vitro conditions most closely correlated with the in
vitro dissolution of paracetamol after administration of the formulati
on to 10 healthy volunteers. The predicted optimal in vitro conditions
were similar for the two models and not too far from what is expected
from the gastrointestinal tract. The experimental verification of the
in vitro conditions showed that both models were equally good, and co
ntributed to high degrees of correlation with the in vivo dissolution
behavior of the formulation during 9 hr. The relationships obtained wh
en plotting the percentage dissolved in vitro versus in vivo were y =
1.1x (r(2) = 0.98) and y = 1.1x (r(2) = 0.94) for models I and II, res
pectively. Based on these results, it is difficult to state a preferen
ce for one of the models. Finally, the use of statistical prediction m
odels to develop critical in vitro tests is a successful approach in t
he establishment of associations between dissolution behavior in vitro
and in vivo for oral extended-release systems.