Novel mathematical method for quantitative expression of deviation from the higuchi model.
A simple mathematical method to express the deviation in release profile of a test product following Higuchi's kinetics from an ideal Higuchi release profile was developed. The method is based on calculation of area under the curve (AUC) by using the trapezoidal rule. The precision of prediction depends on the number of data points. The method is exemplified for 2 dosage forms (tablets of diltiazem HCl and microspheres of diclofenac sodium) that are designed to release the drug over a 12-hour period. The method can be adopted for the formulations where drug release is incomplete (<100%) or complete (100%) at last sampling time. To describe the kinetics of drug release from the test formulation, zero-order, first-order, Higuchi's, Hixson-Crowell's, and Weibull's models were used. The criterion for selecting the most appropriate model was based on the goodness-of-fit test. The release kinetics of the tablets and microspheres were explained by the Higuchi model. The release profiles of the test batches were slightly below the ideal Higuchi release profile. For the test products, observed percentage deviation from an ideal Higuchi profile is less than 16% for tablets and less than 11% for microspheres. The proposed method can be extended to the modified release formulations that are designed to release a drug over 6, 18, or 24 hours. If the data points are not evenly separated, the ideal drug release profile and AUC are calculated according to the specific sampling time. The proposed method may be used for comparing formulated products during the research and development stage, for quality control of the products, or for promoting products by comparing performance of the test product with that of the innovator's product.
Gohel
M C
MC
Department of Pharmaceutics, L.M. College of Pharmacy, P.O. Box. No. 4011, Navrangpura, Ahmedabad-380009, India. mukeshgohel@hotmail.com
Panchal
M K
MK
Jogani
V V
VV
D002626:Chemistry, Pharmaceutical / Q000639:trends; D003692:Delayed-Action Preparations / Q000737:chemistry / Q000378:metabolism; D007700:Kinetics; D008962:Models, Theoretical; D013607:Tablets / Q000737:chemistry* / Q000378:metabolism*
D003692:Delayed-Action Preparations; D013607:Tablets