Abstract
The focus of the present investigation was to develop a predictive dissolution model for tablets coated with blends of cellulose acetate butyrate (CAB) 171-15 and cellulose acetate phthalate (C-A-P) using the design of experiment and chemometric approaches. Diclofenac sodium was used as a model drug. Coating weight gain (X1, 5, 7.5 and 10%) and CAB 171-15 percentage (X2, 33.3, 50 and 66.7%) in the coating composition relative to C-A-P and were selected as independent variables by full factorial experimental design. The responses monitored were dissolution at 1 (Y1), 8 (Y2), and 24 (Y3) h. Statistically significant (p < 0.05) effects of X1 on Y1 and X2 on Y1, Y2, and Y3 were observed. The models showed a good correlation between actual and predicted values as indicated by the correlation coefficients of 0.964, 0.914, and 0.932 for Y1, Y2, and Y3, respectively. For the chemometric model development, the near infrared spectra of the coated tablets were collected, and partial least square regression (PLSR) was performed. PLSR also showed a good correlation between actual and model predicted values as indicated by correlation coefficients of 0.916, 0.964, and 0.974 for Y1, Y2, and Y3, respectively. Y1, Y2, and Y3 predicted values of the independent sample by both approaches were close to the actual values. In conclusion, it is possible to predict the dissolution of tablets coated with blends of cellulose esters by both approaches.
Highlights
Dissolution is one of the quality control tests to measure the performance of a drug product and is required by regulatory agencies [1,2]
The rate of drug dissolution can be modulated by the design of solid oral dosage forms, which are broadly classified into monolithic matrix and encapsulated systems [6]
The objective of the present work was to develop predictive dissolution models of tablets coated with blends of cellulose acetate butyrate (CAB) and cellulose acetate phthalate (C-A-P) polymer using experimental design and chemometric approaches and characterize the film by non-destructive methods
Summary
Dissolution is one of the quality control tests to measure the performance of a drug product and is required by regulatory agencies [1,2]. Predictive dissolution models based on the empirical data for dosage forms can be developed. It is widely reported in the literature for various dosage forms [14,15]. This methodology hastens the formulation development and predicts the dissolution behavior with future changes in the formulation or coating variables
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
