2002
DOI: 10.1081/ddc-120002850
|View full text |Cite
|
Sign up to set email alerts
|

Optimization in Development of Acetaminophen Syrup Formulation

Abstract: Formulation of acetaminophen syrup could be developed by an optimization technique to reduce the time and cost of study. Cosolvents were used in the formulation because of the low solubility of acetaminophen in water. They were composed of polyethylene glycol 4000, propylene glycol, sorbitol solution, and glycerin. Their effects on the solubility of acetaminophen and the pH of formulations were investigated. Effects on taste and price were calculated based on their properties. Simulation study of the effect of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
4
0

Year Published

2011
2011
2017
2017

Publication Types

Select...
5
1

Relationship

4
2

Authors

Journals

citations
Cited by 10 publications
(4 citation statements)
references
References 9 publications
0
4
0
Order By: Relevance
“…Minimisation of the sum of squares error (SSE) in this study was performed by the random heuristic optimisation method [24,25]. This method has good convergence speed and can be easily implemented manually in a spreadsheet.…”
Section: Pharmacokinetic Analysismentioning
confidence: 99%
“…Minimisation of the sum of squares error (SSE) in this study was performed by the random heuristic optimisation method [24,25]. This method has good convergence speed and can be easily implemented manually in a spreadsheet.…”
Section: Pharmacokinetic Analysismentioning
confidence: 99%
“…With this calculation, a logarithmic scale is used to describe observed concentrations instead of a normal scale to avoid the effect from a large residual error of predictions at a higher concentration zone during the infusion period. The algorithm used for minimisation of the SSEs in this study was random heuristic optimisation as described elsewhere [13,14]. This method has good convergence speed and can be conveniently implemented in a spreadsheet.…”
Section: Pharmacokinetic Analysismentioning
confidence: 99%
“…Minimization of the objective function was performed by using Solver Add-in available in Microsoft Excel with varying initial guess of parameters to obtain local minima. Heuristic random optimization method as has been described elsewhere [10,11] significant antibacterial effect [4]. Bacteriostatic effects of carbapenems against Escherichia coli and Pseudomonas aeruginosa in a murine thigh infection model are observed when serum drug concentrations are above the MIC for 20% of the dosing interval, whereas the T >MIC required for bactericidal activity is 40% of the dosing interval [18].…”
Section: Pk Analysismentioning
confidence: 99%