TY - JOUR
T1 - The prediction of the dissolution rate constant by mixing rules
T2 - The study of acetaminophen batches
AU - Lee, Tu
AU - Hou, Hung Ju
AU - Hsieh, Hsiang Yu
AU - Su, Yan Chan
AU - Wang, Yeh Wen
AU - Hsu, Fu Bin
N1 - Funding Information:
This work was supported by a grant from the National Science Council of Taiwan, R.O.C. (NSC 94-2119-M-008-001 and NSC 95-2113-M-008-012-MY2). Suggestions from Ms. Jui-Mei Huang for DSC in the Precision Instrument Center at the National Central University are gratefully acknowledged.
PY - 2008/5
Y1 - 2008/5
N2 - The purpose of this article is to promote two simple and scalable methods to accelerate the formulation development of formulated granules using acetaminophen as a model system. In method I, formulated granules made from the batch of small particle-sized acetaminophen (1) by ball milling the batch of large particle-sized acetaminophen (2), and the mixture of the two batches at equal weights (mix) gave the dissolution rate constants (k) of k1 = 0.43 ± 0.15 minutes-1, k2 = 0.18 ± 0.01 minutes-1, and kmix = 0.30 ± 0.03 minutes-1 for 75 wt percent formulation; k1 = 0.75 ± 0.01 minutes-1, k2 = 0.18 ± 0.01 minutes-1, and kmix = 0.34 ± 0.03 minutes-1 for 62 wt percent formulation; and k1 = 0.28 ± 0.01 minutes-1, k2 = 0.16 ± 0.01 minutes-1, and kmix = 0.22 ± 0.02 minutes-1 for 30 wt percent formulation. In method II, the mixture of the formulated granules produced by mixing the formulated granules from the two batches at equal weights gave dissolution rate constants of kmix = 0.30 ± 0.03 minutes-1, 0.30 ± 0.02 minutes-1, and 0.22 ± 0.01 minutes-1 for 75 wt percent, 62 wt percent, and 30 wt percent formulations, respectively. After fitting the three data points of k1, k2, and kmix to the 10 mixing rules in materials science - series mixing rule, Hashin and Shtrikman upper bound, logarithmic mixing, Looyenga mixing rule, effective media approximation (EMA), three-point lower bound, Torquato approximation, three-point upper bound, Maxwell mixing rule, and parallel mixing rule - we found that the selection of the best suited mixing rules based on k1, k2, and kmix was solely dependent on the formulations under a given operating condition and regardless of whether the system was a powder mixture or a granular mixture. The values of k1, k2, and kmix in both the 75 wt percent and 30 wt percent formulations were enveloped by the parallel mixing rule and Maxwell mixing rule, whereas the values of k1, k2, and kmix for the 62 wt percent formulation were encompassed by the logarithmic mixing rule, Hashin and Shtrikman upper bound, and the series mixing rule. Apparently, the best suited mixing rules could be used to predict the right proportions of either the powder mixture (Method I) or the granular mixture (Method II) for obtaining any other desired dissolution rate constant, kmix, whose value fell in between the values of k1 and k2.
AB - The purpose of this article is to promote two simple and scalable methods to accelerate the formulation development of formulated granules using acetaminophen as a model system. In method I, formulated granules made from the batch of small particle-sized acetaminophen (1) by ball milling the batch of large particle-sized acetaminophen (2), and the mixture of the two batches at equal weights (mix) gave the dissolution rate constants (k) of k1 = 0.43 ± 0.15 minutes-1, k2 = 0.18 ± 0.01 minutes-1, and kmix = 0.30 ± 0.03 minutes-1 for 75 wt percent formulation; k1 = 0.75 ± 0.01 minutes-1, k2 = 0.18 ± 0.01 minutes-1, and kmix = 0.34 ± 0.03 minutes-1 for 62 wt percent formulation; and k1 = 0.28 ± 0.01 minutes-1, k2 = 0.16 ± 0.01 minutes-1, and kmix = 0.22 ± 0.02 minutes-1 for 30 wt percent formulation. In method II, the mixture of the formulated granules produced by mixing the formulated granules from the two batches at equal weights gave dissolution rate constants of kmix = 0.30 ± 0.03 minutes-1, 0.30 ± 0.02 minutes-1, and 0.22 ± 0.01 minutes-1 for 75 wt percent, 62 wt percent, and 30 wt percent formulations, respectively. After fitting the three data points of k1, k2, and kmix to the 10 mixing rules in materials science - series mixing rule, Hashin and Shtrikman upper bound, logarithmic mixing, Looyenga mixing rule, effective media approximation (EMA), three-point lower bound, Torquato approximation, three-point upper bound, Maxwell mixing rule, and parallel mixing rule - we found that the selection of the best suited mixing rules based on k1, k2, and kmix was solely dependent on the formulations under a given operating condition and regardless of whether the system was a powder mixture or a granular mixture. The values of k1, k2, and kmix in both the 75 wt percent and 30 wt percent formulations were enveloped by the parallel mixing rule and Maxwell mixing rule, whereas the values of k1, k2, and kmix for the 62 wt percent formulation were encompassed by the logarithmic mixing rule, Hashin and Shtrikman upper bound, and the series mixing rule. Apparently, the best suited mixing rules could be used to predict the right proportions of either the powder mixture (Method I) or the granular mixture (Method II) for obtaining any other desired dissolution rate constant, kmix, whose value fell in between the values of k1 and k2.
KW - Acetaminophen
KW - Dissolution rate constant
KW - Mixing rules
UR - http://www.scopus.com/inward/record.url?scp=45849133068&partnerID=8YFLogxK
U2 - 10.1080/03639040701744194
DO - 10.1080/03639040701744194
M3 - 期刊論文
C2 - 18473235
AN - SCOPUS:45849133068
SN - 0363-9045
VL - 34
SP - 522
EP - 535
JO - Drug Development and Industrial Pharmacy
JF - Drug Development and Industrial Pharmacy
IS - 5
ER -