Y. Miyamoto et al., AN APPLICATION OF THE COMPUTER OPTIMIZATION TECHNIQUE TO WET GRANULATION PROCESS INVOLVING EXPLOSIVE GROWTH OF PARTICLES, International journal of pharmaceutics, 149(1), 1997, pp. 25-36
The computer optimization technique based on well-designed experiments
is applied to optimize the wet granulation process in which an explos
ive growth of particles is involved. Total volume of binder solution u
sed in the process (X-1), power consumption (X-2) of the blade and the
interaction between X-1 and the blade rotation speed (X-3) were found
to have strong influence on the granulation process based on the anal
ysis of variance: Further, scraping off of powder adhered to the vesse
l wall by the blade could play a critical role in such explosive growt
h of particles. In scale-up studies (1.2 kg and 3.0 kg scale), an opti
mization incorporating scale effect of three response variables (geome
trical mean size of granules, the portion of granules passed through 7
5 mu m, and granulation time) which have high correlation coefficients
in regression analysis was possible by using an integrated optimizati
on function, T(X). A universal optimal condition unaffected by manufac
turing scale is obtained by the minimization of T(X). Experimental val
ues of these three response variables of granules prepared under the u
niversal optimal condition agreed well with the predicted values in tw
o manufacturing scales, suggesting that the computer optimization tech
nique would be useful to optimize and visualize the process of wet gra
nulation involving the explosive growth of particles. (C) 1997 Elsevie
r Science B.V.