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Title of article :
Fractional factorial design and simplex algorithm for optimizing sequential injection analysis (SIA) and second order calibration
Author/Authors :
Pasamontes، نويسنده , , Alberto and Callao، نويسنده , , Pilar، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2006
Pages :
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Abstract :
In this study, we report a method for finding an analytical sequence that allows to simultaneously determine two analytes with very similar physical and chemical characteristics, such as amoxicillin and clavulanic acid, using sequential injection analysis (SIA) with a diode-array spectrophotometric detector and multivariate curve resolution with alternating least squares (MCR-ALS). ethod comprises two stages. In the first stage, a fractional factorial design (26–2) is carried out in order to address the responses, reduce later experimentation and study how the factors, though confounded, interact with each other. In the second stage, optimization is carried out using the simplex algorithm. ethod has advantages over response surface modelling, for example, when the number of significant factors is high. If simplex is begun in a suitable zone, the number of experiments may be considerably reduced.
Keywords :
MCR-ALS , Amoxicillin , Clavulanic acid , Fractional factorial design , Desirability function , Simplex algorithm , SIA
Journal title :
Chemometrics and Intelligent Laboratory Systems
Link To Document :