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Development and optimisation of a flow injection assay for fluticasone propionate using an asymmetrical design and
C Vannecke1, A M Nguyen, M S Bloomfield
1ChemoAc, Department of Pharmaceutical and Biomedical Analysis, Vrije Universiteit Brussel, Pharmaceutical Institute, Brussels, Belgium.
Journal of Pharmaceutical and Biomedical Analysis
|August 10, 2000
Summary
A new flow injection analysis method accurately determines fluticasone propionate using o-phthalaldehyde chemistry. Optimization revealed distinct critical parameters for UV and fluorescence detection, enhancing analytical capabilities.
Area of Science:
- Analytical Chemistry
- Pharmaceutical Analysis
Background:
- Fluticasone propionate is a widely used corticosteroid.
- Accurate quantification is crucial for pharmaceutical quality control.
- Existing analytical methods may require optimization for sensitivity and specificity.
Purpose of the Study:
- To develop and optimize a novel flow injection analysis (FIA) method for fluticasone propionate determination.
- To compare experimental designs for method optimization.
- To investigate optimal conditions for both UV and fluorescence detection.
Main Methods:
- Flow injection analysis (FIA) coupled with o-phthalaldehyde reaction chemistry.
- Optimization using experimental design: screening (fractional factorial vs. asymmetrical) and variable-size simplex algorithm.
- Dual detection capabilities: UV and fluorescence.
Main Results:
- The asymmetrical experimental design identified significant factors and confirmed local optima more effectively than the two-level fractional factorial design.
- Optimal parameters differed significantly between UV and fluorescence detection.
- Critical parameters for UV detection included temperature and on-line pH adjustment (NaOH, boric acid).
- Critical parameters for fluorescence detection included temperature and methanol fraction.
Conclusions:
- A robust FIA method for fluticasone propionate determination was successfully developed and optimized.
- Experimental design strategies significantly impact optimization outcomes.
- The distinct optimal conditions for UV and fluorescence detection provide flexibility for analytical applications.