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Optimization of sustained release matrix tablet of metoprolol succinate using central composite design.
Pak J Pharm Sci. 2013 Sep; 26(5):929-37.PJ

Abstract

The present study was performed to optimize the formulation of metoprolol succinate (MS) sustained release tablets using hydroxypropyl methylcellulose (HPMC) and sodium alginate (SA) as the matrix combination. After investigating the effects of various parameters on drug release, a 2-factor, 5-level central composite design was employed, using the amount of HPMC K4M (A) and SA (318 cP) (B) as the independent variables and the drug percentage released at 1h, 4h, 8h, 20h (Q1, Q4, Q8, Q20) as the responses. Response surfaces were established to obtain the matrix ranges and the main factors affecting four responses. In order to validate the optimization study, six confirmatory runs were performed; indicating high predictability of response surface methodology for MS sustained release tablets. Data fitting to Peppas equation indicated that the mechanism of drug release could be diffusion along with erosion. This matrix combination can be used as a good alternative to the commercially pellet technology, which was complicated, time-consuming and energy-intensive.

Authors+Show Affiliations

Department of Pharmacy, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

24035948

Citation

Li, Li, et al. "Optimization of Sustained Release Matrix Tablet of Metoprolol Succinate Using Central Composite Design." Pakistan Journal of Pharmaceutical Sciences, vol. 26, no. 5, 2013, pp. 929-37.
Li L, Sun H, Gao J, et al. Optimization of sustained release matrix tablet of metoprolol succinate using central composite design. Pak J Pharm Sci. 2013;26(5):929-37.
Li, L., Sun, H., Gao, J., Jiang, T., Gao, Y., & Zhang, J. (2013). Optimization of sustained release matrix tablet of metoprolol succinate using central composite design. Pakistan Journal of Pharmaceutical Sciences, 26(5), 929-37.
Li L, et al. Optimization of Sustained Release Matrix Tablet of Metoprolol Succinate Using Central Composite Design. Pak J Pharm Sci. 2013;26(5):929-37. PubMed PMID: 24035948.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Optimization of sustained release matrix tablet of metoprolol succinate using central composite design. AU - Li,Li, AU - Sun,Huijuan, AU - Gao,Jing, AU - Jiang,Tao, AU - Gao,Yuan, AU - Zhang,Jianjun, PY - 2013/9/17/entrez PY - 2013/9/17/pubmed PY - 2013/12/18/medline SP - 929 EP - 37 JF - Pakistan journal of pharmaceutical sciences JO - Pak J Pharm Sci VL - 26 IS - 5 N2 - The present study was performed to optimize the formulation of metoprolol succinate (MS) sustained release tablets using hydroxypropyl methylcellulose (HPMC) and sodium alginate (SA) as the matrix combination. After investigating the effects of various parameters on drug release, a 2-factor, 5-level central composite design was employed, using the amount of HPMC K4M (A) and SA (318 cP) (B) as the independent variables and the drug percentage released at 1h, 4h, 8h, 20h (Q1, Q4, Q8, Q20) as the responses. Response surfaces were established to obtain the matrix ranges and the main factors affecting four responses. In order to validate the optimization study, six confirmatory runs were performed; indicating high predictability of response surface methodology for MS sustained release tablets. Data fitting to Peppas equation indicated that the mechanism of drug release could be diffusion along with erosion. This matrix combination can be used as a good alternative to the commercially pellet technology, which was complicated, time-consuming and energy-intensive. SN - 1011-601X UR - https://www.unboundmedicine.com/medline/citation/24035948/Optimization_of_sustained_release_matrix_tablet_of_metoprolol_succinate_using_central_composite_design_ DB - PRIME DP - Unbound Medicine ER -