| Literature DB >> 24309310 |
Péter Sipos1, Róbert Rajkó, Klára Pintye-Hódi, István Erős, Piroska Szabó-Révész.
Abstract
The objectives of this work were the formulation optimization of the preparation process parameters and to evaluate spray-dried sustained-release microspheres using ammonio methacrylate copolymer (AMC) as a polymer matrix. The effects of log P and the concentrations of the cosolvents (acetone, methyl ethyl ketone and n-butyl acetate) and different drug/copolymer ratios as independent variables on the physicochemical parameters (the W1/O emulsion viscosity, the microsphere production yield, the average particle size, the encapsulation efficiency) and the cumulative in vitro drug release as dependent variables were studied. The optimization was carried out on the basis of the 33 factorial design study. The optimization process results showed that addition of polar cosolvents proved effective, linear relationships were observed between the independent and the dependent variables. The best conditions were achieved by microspheres prepared by using a low/medium cosolvent log P, cosolvent concentration of 25-50% v/v and a drug/copolymer ratio of 1:16. The microspheres ensured sustained release with Nernst and Baker-Lonsdale release profiles.Entities:
Year: 2011 PMID: 24309310 PMCID: PMC3857060 DOI: 10.3390/pharmaceutics3040830
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.321
Physicochemical properties of the organic solvents used.
| Me2CO | 3 | 0.234 | 56.5 | 0.360 | miscible | Mixing |
| MeCOEt | 3 | 0.736 | 79.6 | 0.415 | 29.0 | - |
| CH2Cl2 | 1.511 | 39.5 | 0.475 | 1.3 | Rapid | |
| 3 | 1.822 | 125.0 | 0.730 | 0.7 | Rapid |
absolute viscosity data from preliminary measurements (relative density of water = 1.000);
saturation at maximum cosolvent concentration (75% v/v) in the aqueous phase.
Levels and values of the independent variables (non-randomized).
| 0.234 (Me2CO) | 25 | 1:32 | |
| 0.736 (MeCOEt) | 50 | 1:24 | |
| 1.822 ( | 75 | 1:16 | |
Figure 1.Representative image analysis of multiple emulsion droplets (magnification: 100×) (X1; X2; X3): (A) S0A (CH2Cl2 alone; X3 = −1); (B) S4 (−1; 0; −1); (C) S5 (−1; 0; 0); (D) S6 (−1; 0; +1); (E) S9 (−1; +1; +1).
Figure 2.SEM evaluation of microsphere products (X1; X2; X3): (A) Drug-free sample without number (CH2Cl2 100% v/v); (B) S0C (CH2Cl2 100% v/v; X3 = +1); (C) S9 (−1; +1; +1); (D) S18 (0; +1; +1) and (E) S27 (+1; +1; +1).
Coefficients for the mathematical models. Linear (b0–b3), synergistic (b12–b23) and quadratic (b11–b33) effects of the independent variables on the dependent variables (Y1–Y5).
| −0.07 | |||||||||||
| −0.39 | 0.00 | −0.64 | |||||||||
| −0.93 | −1.69 | 2.12 | |||||||||
| −0.66 | −1.21 | −0.76 | |||||||||
| −0.41 | 5.71 | 0.25 | 4.44 | 4.41 | 3.58 |
Y: W1/O viscosity (mPas); Y: Production yield (%); Y: Average particle size (μm); Y: EE (%); Y: Cumulative release in 6h (μg/mL)
Figure 4.Effect of drug/copolymer ratio (factor X3) on rate of drug release (X1; X2; X3): S7 (−1; +1; −1), S8 (−1; +1; 0), S9 (−1; +1; +1), S25 (+1; +1; −1), S26 (+1; +1; 0) and S27 (+1; +1; +1).
Optimization of levels of independent variables according to required effects.
| Y1-Y4 | Y1-Y4 | |||
| Y1-Y4 | ||||
| Y1-Y4 | ||||
| Y1-Y4 | ||||
| Y1-Y3 | ||||
| Y1-Y3 | ||||
| Y2-Y4 | Y2; Y4 | |||
| Y3-Y4 | Y4 | Y1; Y3; Y5 | ||
| Y3-Y4 | Y4 | Y1; Y3; Y5 |
Required effects, as Y1—low W1/O viscosity; Y2—high production yield; Y3—low particle size; Y4—high EE and Y5—Q6 40–80% in 6 h, can be ensured by the compositions highlighted.
The microsphere batches investigated in factorial design.
| (−1) | S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 |
| (0) | S10 | S11 | S12 | S13 | S14 | S15 | S16 | S17 | S18 |
| (+1) | S19 | S20 | S21 | S22 | S23 | S24 | S25 | S26 | S27 |
|
| |||||||||
| −1 | 0 | +1 | |||||||
|
| |||||||||
| −1 | 0 | +1 | −1 | 0 | +1 | −1 | 0 | +1 | |
The batch of S0A-S0B-S0C was prepared with CH2Cl2 alone with the levels of X3: −1/0/+1, respectively.