Correction to: Bioavailability Enhancement of Olmesartan Medoxomil Using Hot-Melt Extrusion: In-Silico , In-Vitro , and
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Correction Correction to: Bioavailability Enhancement of Olmesartan Medoxomil Using Hot-Melt Extrusion: In-Silico, In-Vitro, and In-Vivo Evaluation Pankaj Jadhav,1 Vinod Gokarna,2 Vineeta Deshpande,3 and Pradeep Vavia1,4
Correction to: AAPS PharmSciTech volume 21, Article number: 254 (2020). https://doi.org/10.1208/s12249-020-01780-3 During production, the supplemental file “Trajectory analysis of 5ns MD simulation of VA-64 and OLM.mpeg”, as well as the “RunNo and Serial numbers”, for Tables III and VII respectively, were inadvertently omitted from the published article (Tables I, II, III, IV, V, VI, and VII).
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The online version of the original article can be found at https:// doi.org/10.1208/s12249-020-01780-3 1
Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, University under Section 3 of UGC Act – 1956, Elite Status and Center of Excellence – Government of Maharashtra, TEQIP Phase II Funded, Mumbai, Matunga (E) 400019, India. 2 Don Bosco Institute of Technology, Mumbai, Kurla (W) 400070, India. 3 Department of Physics, Institute of Chemical Technology, University under Section 3 of UGC Act – 1956, Elite Status and Center of Excellence – Government of Maharashtra, TEQIP Phase II Funded, Mumbai, Matunga (E) 400019, India. 4 To whom correspondence should be addressed. (e–mail: [email protected]) 1530-9932/20/0000-0001/0 # 2020 American Association of Pharmaceutical Scientists
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Table I. Variables and Their Levels for Experimental Design
Variables
Levels
Independent variables/factors X1 : Drug concentration (%w/w) X2 : Extrusion temperature (°C) X3 : Screw speed (RPM) Dependent variable/response Y: % drug release in the first 10 min
−1.682 (−α)
−1
0
1
1.682 (α)
6.59 157 74.43 Constrains Maximize
10 160 100
15 165 137.5
20 170 175
23.41 173 200.57
Table II. Solubility Parameter Values of Formulation Components and Miscibility Prediction
Compound
δ Solubility parameter
OLM 21.07 (MD simulation) VA-64 20.53 (Piccinni et al., 2016) Soluplus 19.90 (Piccinni et al., 2016) Δδ is difference in solubility parameters between drug and carrier
Δδ = (|δOLM − δCarrier|)
Miscibility
– 0.54 1.17
– Miscible Miscible
Table III. Central Composite Design Run
Run No Independent variables
Dependent variable/response
X1 -drug concentration (%w/w) X2 -extrusion temperature (°C) X3 -screw speed (RPM) Y -% drug release in the first 10 min 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
10 20 10 20 10 20 10 20 6.59 23.41 15 15 15 15 15 15 15 15 15 15
160 160 170 170 160 160 170 170 165 165 157 173 165 165 165 165 165 165 165 165
100 100 100 100 175 175 175 175 137.5 137.5 137.5 137.5 74.43 200.57 137.5 137.5 137.5 137.5 137.5 137.5
83.2 74.2 86.9 66.5 79.99 61.9 82.3 44.3 73.8 57.8 94.4 59.6 93.01 89.7 83.5 84.9 84.1 86.6 82.8 87.2
Table IV. ANOVA for Response Surface Quadratic
Data Loading...
