Application of mathematical modeling for the development and optimization formulation with bioactive copper complex
Само за регистроване кориснике
2013
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
New formulation for treatment a copper deficiency in human organism was developed and optimized by application of mathematical modeling. This formulation contained copper (II) complex with polysaccharide pullulan, as active substance. The binder concentration [polyvinyl pyrrolidone (PVP %)], the disintegrant concentration (corn starch %) and the resistance to crushing (hardness) were taken as independent variables. In vitro measured drug release characteristics of the tablets at pH 1.20 and 7.56 were studied as response variables. Initially, the created full factorial 2(3) model showed that the resistance to crushing has the most significant effect on copper (II) complex release from the formulation. Optimal tablet formulation F2, with lower Hardness (50 N), lower Starch (20.0%) and higher PVP (2.7%) concentrations, is selected using the partial least squares (PLS) regression modeling. The selected formulation F2 has expressed the best drug release profile at both pH (98.66% pH = 1.20;... 93.35% pH = 7.56), and the lowest variation of tablets weight. The presented theoretical approach and created PLS model can be readily applied in future copper complexes studies and formulation design.
Кључне речи:
Copper / full factorial / experimental design / partial least squaresИзвор:
Drug Development and Industrial Pharmacy, 2013, 39, 7, 1084-1090Издавач:
- Taylor & Francis Ltd, Abingdon
Финансирање / пројекти:
- Биљни и синтетички биоактивни производи новије генерације (RS-MESTD-Technological Development (TD or TR)-34012)
DOI: 10.3109/03639045.2012.707208
ISSN: 0363-9045
PubMed: 22871119
WoS: 000319986900018
Scopus: 2-s2.0-84878892367
Институција/група
PharmacyTY - JOUR AU - Savić, Ivana AU - Nikolić, Katarina AU - Nikolić, Goran AU - Savić, Ivan AU - Agbaba, Danica AU - Cakić, Milorad PY - 2013 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1970 AB - New formulation for treatment a copper deficiency in human organism was developed and optimized by application of mathematical modeling. This formulation contained copper (II) complex with polysaccharide pullulan, as active substance. The binder concentration [polyvinyl pyrrolidone (PVP %)], the disintegrant concentration (corn starch %) and the resistance to crushing (hardness) were taken as independent variables. In vitro measured drug release characteristics of the tablets at pH 1.20 and 7.56 were studied as response variables. Initially, the created full factorial 2(3) model showed that the resistance to crushing has the most significant effect on copper (II) complex release from the formulation. Optimal tablet formulation F2, with lower Hardness (50 N), lower Starch (20.0%) and higher PVP (2.7%) concentrations, is selected using the partial least squares (PLS) regression modeling. The selected formulation F2 has expressed the best drug release profile at both pH (98.66% pH = 1.20; 93.35% pH = 7.56), and the lowest variation of tablets weight. The presented theoretical approach and created PLS model can be readily applied in future copper complexes studies and formulation design. PB - Taylor & Francis Ltd, Abingdon T2 - Drug Development and Industrial Pharmacy T1 - Application of mathematical modeling for the development and optimization formulation with bioactive copper complex VL - 39 IS - 7 SP - 1084 EP - 1090 DO - 10.3109/03639045.2012.707208 ER -
@article{ author = "Savić, Ivana and Nikolić, Katarina and Nikolić, Goran and Savić, Ivan and Agbaba, Danica and Cakić, Milorad", year = "2013", abstract = "New formulation for treatment a copper deficiency in human organism was developed and optimized by application of mathematical modeling. This formulation contained copper (II) complex with polysaccharide pullulan, as active substance. The binder concentration [polyvinyl pyrrolidone (PVP %)], the disintegrant concentration (corn starch %) and the resistance to crushing (hardness) were taken as independent variables. In vitro measured drug release characteristics of the tablets at pH 1.20 and 7.56 were studied as response variables. Initially, the created full factorial 2(3) model showed that the resistance to crushing has the most significant effect on copper (II) complex release from the formulation. Optimal tablet formulation F2, with lower Hardness (50 N), lower Starch (20.0%) and higher PVP (2.7%) concentrations, is selected using the partial least squares (PLS) regression modeling. The selected formulation F2 has expressed the best drug release profile at both pH (98.66% pH = 1.20; 93.35% pH = 7.56), and the lowest variation of tablets weight. The presented theoretical approach and created PLS model can be readily applied in future copper complexes studies and formulation design.", publisher = "Taylor & Francis Ltd, Abingdon", journal = "Drug Development and Industrial Pharmacy", title = "Application of mathematical modeling for the development and optimization formulation with bioactive copper complex", volume = "39", number = "7", pages = "1084-1090", doi = "10.3109/03639045.2012.707208" }
Savić, I., Nikolić, K., Nikolić, G., Savić, I., Agbaba, D.,& Cakić, M.. (2013). Application of mathematical modeling for the development and optimization formulation with bioactive copper complex. in Drug Development and Industrial Pharmacy Taylor & Francis Ltd, Abingdon., 39(7), 1084-1090. https://doi.org/10.3109/03639045.2012.707208
Savić I, Nikolić K, Nikolić G, Savić I, Agbaba D, Cakić M. Application of mathematical modeling for the development and optimization formulation with bioactive copper complex. in Drug Development and Industrial Pharmacy. 2013;39(7):1084-1090. doi:10.3109/03639045.2012.707208 .
Savić, Ivana, Nikolić, Katarina, Nikolić, Goran, Savić, Ivan, Agbaba, Danica, Cakić, Milorad, "Application of mathematical modeling for the development and optimization formulation with bioactive copper complex" in Drug Development and Industrial Pharmacy, 39, no. 7 (2013):1084-1090, https://doi.org/10.3109/03639045.2012.707208 . .