Sequential Optimization Methods

Dejaegher, Bieke; Heyden, Yvan Vander

doi:10.1016/b978-044452701-1.00036-3

Cited by 5 publications

(5 citation statements)

References 46 publications

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“…In the second phase of method optimization, either sequential optimization methods, using simplex approaches [10,12], or simultaneous optimization strategies, using response-surface designs [1,2,12], are usually applied. The main difference between their applications is that for a response-surface design the experimental design domain, defined by the factor levels examined, is expected to contain the optimum, whereas a sequential optimization method can be applied in situations where the experimental region containing the optimum result is not a priori known.…”

Section: Optimizationmentioning

confidence: 99%

“…Univariate approaches are not further discussed in this paper. Multivariate methods can be further divided into sequential and simultaneous strategies [2,[9][10][11]. In sequential strategies a few experiments only are initially performed and the results obtained are used to define the next experiment(s).…”

Section: Introductionmentioning

confidence: 99%

“…In this stage, either sequential optimization methods, for example simplex approaches, or simultaneous optimization strategies, using, for instance, response-surface designs, are applied (Fig. 1) [1,2,10,12].…”

Section: Introductionmentioning

confidence: 99%

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The use of experimental design in separation science

Dejaegher

Heyden²

2009

Acta Chromatographica

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In this tutorial, the application of experimental designs in separation science is discussed. Method optimization is often divided into screening and optimization phases. In the screening step, many factors, potentially affecting the separation, are screened to identify those with the largest effects. These are then further examined in an optimization phase, to determine the best separation conditions. After optimizing the method, it should be validated, before use for quantitative purposes. Robustness testing is part of method validation and examines the effects on the responses of small changes in method conditions. During the first phase of method optimization and during robustness testing, so-called screening designs are usually applied, whereas during the second phase of optimization, response-surface designs are often used. In this tutorial, the different steps in the application of both types of design are explained and elaborated with some examples.

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Section: Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The use of experimental design in separation science

Dejaegher

Heyden²

2009

Acta Chromatographica

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“…It has been recommended not to examine more than three factors due to the inherent high number of experiments [71]. However, considering that the chromatographic system alone could be influenced by more than 50 factors [72], then it would be interesting to investigate the performance of Doehlert uniform shell designs in the optimization of a high number of chromatographic instrumental parameters (k 3).…”

Section: Discussionmentioning

confidence: 99%

Doehlert uniform shell designs and chromatography

Araujo¹,

Janagap

2012

Journal of Chromatography B

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“…QbD has become a significant model for the pharmaceutical industries and defined in the International Conference on Harmonization (ICH) regulation on pharmaceutical development as ''a systematic approach to the development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.'' [2] For method optimization, either sequential optimization methods, using simplex approaches, [3,4] or simultaneous optimization strategies, using response-surface designs, [4][5][6] are reported. The main difference between their applications is that for a response-surface design the experimental design domain, defined by the factor levels examined, is expected to contain the optimum, whereas a sequential optimization method can be applied in situations where the experimental domain containing the optimum result is not previously known.…”

Section: Introductionmentioning

confidence: 99%

Development of a New High-Performance Thin Layer Chromatographic Method for Quantitative Estimation of Lamivudine and Zidovudine in Combined Tablet Dosage Form Using Quality by Design Approach

Gopani¹,

Patel²,

Patel

et al. 2014

Journal of Liquid Chromatography & Related Technologies

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& The purpose of this study was to develop a new rapid and robust high-performance thin layer chromatographic (HPTLC) method for separation and quantitation of lamivudine and zidovudine in combined tablet dosage form using a quality by design approach. A Box-Behnken experimental design with response surface methodology was utilized to study the effects of chromatographic chamber saturation time, mobile phase migration distance, and mobile phase composition on R f value. The R f value was predicted for lamivudine and zidovudine in between 0.2 and 0.8 to optimize the chromatographic conditions based on the preliminary trials. The optimized chromatographic conditions were 21 min saturation time, 50 mm migration distance, and ethyl acetate:hexane:methanol:acetic acid (4:4:2:0.1 v=v=v=v) as a mobile phase. The optimized HPTLC method was validated according to International Conference on Harmonization (ICH) guideline Q2 (R1). The results of study clearly indicate that quality by design concept could be effectively applied to optimize HPTLC method with the minimum number of experimental runs. Developed HPTLC method was successfully applied for routine analysis of lamivudine and zidovudine in combine tablet dosage form.

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Sequential Optimization Methods

Cited by 5 publications

References 46 publications

The use of experimental design in separation science

The use of experimental design in separation science

Doehlert uniform shell designs and chromatography

Development of a New High-Performance Thin Layer Chromatographic Method for Quantitative Estimation of Lamivudine and Zidovudine in Combined Tablet Dosage Form Using Quality by Design Approach

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