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Prediction of drug release from HPMC matrices: effect of physicochemical properties of drug and polymer concentration
A working equation to predict drug release from hydroxypropyl methylcellulose (HPMC) matrices was derived using a training set of HPMC matrices having different HPMC concentration (w/w, 16.5–55%) and different drugs (solubilities of 1.126–125.5 g/100 ml in water and molecular volumes of 0.1569–0.499...
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Published in: | Journal of controlled release 2004-03, Vol.95 (2), p.209-216 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A working equation to predict drug release from hydroxypropyl methylcellulose (HPMC) matrices was derived using a training set of HPMC matrices having different HPMC concentration (w/w, 16.5–55%) and different drugs (solubilities of 1.126–125.5 g/100 ml in water and molecular volumes of 0.1569–0.4996 nm
3). The equation was log(
M
t
/
M
∞)=−0.6747+1.027 log
t −0.1759 (log
C
s) log
t +0.4027 (log
V) log
t −1.041
C
H +0.3213 (log
C
s)
C
H −0.4101 (log
V)
C
H −0.3521 (log
V) log
C
s (
n=263,
r=0.9831), where
M
t
is the amount of drug released at time
t,
M
∞ the amount of drug released over a very long time, which corresponds in principle to the initial loading,
t the release time (h),
C
s the drug solubility in water (g/100 ml),
V the volume of drug molecule (nm
3), and
C
H is HPMC concentration (w/w). The benefit of the novel model is to predict
M
t
/
M
∞ values of a drug from formulation and its physicochemical properties, so applicable to the HPMC matrices of different polymer levels and different drugs including soluble drugs and slightly soluble drugs. |
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ISSN: | 0168-3659 1873-4995 |
DOI: | 10.1016/j.jconrel.2003.11.007 |