The construction of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:mi mathvariant="normal">D</mml:mi></mml:math>- and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" overflow="scroll"><mml:mi mathvariant="normal">I</mml:mi></mml:math>-optimal designs for mixture experiments with linear constraints on the components

Coetzer, R.L.J.; Haines, Linda M.

doi:10.1016/j.chemolab.2017.10.007

Cited by 23 publications

(5 citation statements)

References 31 publications

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“…Moreover, experiments with mixture of variables require good prediction properties from the estimated model in order to reach the optimized formulation [42]. Hence, an I-Optimal mixture design was recruited in this study as it minimizes the average prediction of variance throughout the experimental region [43].…”

Section: Formulation Optimization Of Dcn-odts Using I-optimal Mixturementioning

confidence: 99%

Development of orally disintegrating tablets containing solid dispersion of a poorly soluble drug for enhanced dissolution: In-vitro optimization/in-vivo evaluation

et al. 2020

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Diacerein (DCN), a potent anti-inflammatory API used to treat osteoarthritis yet, it suffers from poor water solubility which affects its oral absorption. Unabsorbed colonic DCN is converted into rhein, which is responsible for laxation as a main side effect of DCN treatment. Therefore, in this study orally disintegrating tablets (ODTs) loaded with optimized DCN solid dispersion system were prepared using different co-processed excipients (Prosolv® ODT, Pharmaburst® 500 and F-melt®), aiming to achieve improved solubility, rapid absorption and consequently limited amount of rhein reaching the colon. Prepared ODTs were evaluated for physical characteristics, in-vitro drug release, disintegration and wetting times. Dissolution parameters; dissolution efficiency percent at 10 (DE (10 min)%) and 30 (DE (30 min)%) min and mean dissolution time (MDT) were determined. The optimized ODT showed 1.50 and 1.12 fold increase in DE (10 min)% and DE (30 min)%, respectively and 2 fold decrease in MDT, compared to Diacerein® capsules. In-vivo anti-inflammatory effect of optimized ODT, using rat paw edema revealed significant increase in edema inhibition (p < 0.0465) and promoted onset of action compared to Diacerein® capsules at 0.5 hr. It could be concluded that optimized ODT could be promising for enhanced dissolution and rapid absorption of DCN from the oral cavity.

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Section: Formulation Optimization Of Dcn-odts Using I-optimal Mixturementioning

confidence: 99%

Development of orally disintegrating tablets containing solid dispersion of a poorly soluble drug for enhanced dissolution: In-vitro optimization/in-vivo evaluation

et al. 2020

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“…However, the advantages mentioned above also make DoE interesting and applicable for material sciences [84][85][86]. In this study, DoE was set up using the so-called D-optimal experimental design [87]. To achieve D-optimality, the determinant of the term (X'X) −1 in Equation (1) has to be minimized.…”

Section: Starting Materialsmentioning

confidence: 99%

Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material

Schade

Middendorf

2023

Materials

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This study aims to develop a material-saving performance prediction model for fast-hardening alkali-activated slag/silica fume blended pastes. The hydration process in the early stage and the microstructural properties after 24 h were analyzed using design of experiments (DoE). The experimental results show that the curing time and the FTIR wavenumber of the Si-O-T (T = Al, Si) bond in the band range of 900–1000 cm−1 after 24 h can be predicted accurately. In detailed investigations, low wavenumbers from FTIR analysis were found to correlate with reduced shrinkage. The activator exerts a quadratic and not a silica modulus-related conditioned linear influence on the performance properties. Consequently, the prediction model based on FTIR measurements proved to be suitable in evaluation tests for predicting the material properties of those binders in the building chemistry sector.

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“…Approaches based on PSO were studied by Wong et al [66]. Coetzer and Haines [67] proposed an approach that involves transforming the search for design points over a polytope to a search over a regular simplex with dimension equal to the number of vertices of the polytope. Syafitri et al [68] proposed a VNS algorithm which Goos et al [60] compare to a MINLP based formulations.…”

Section: Algorithms For Finding Optimal Experimental Designsmentioning

confidence: 99%

Optimal design of mixture experiments for general blending models

Duarte

Atkinson

Granjo³

et al. 2021

Chemometrics and Intelligent Laboratory Systems

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The construction ofD- andI-optimal designs for mixture experiments with linear constraints on the components

Cited by 23 publications

References 31 publications

Development of orally disintegrating tablets containing solid dispersion of a poorly soluble drug for enhanced dissolution: In-vitro optimization/in-vivo evaluation

Development of orally disintegrating tablets containing solid dispersion of a poorly soluble drug for enhanced dissolution: In-vitro optimization/in-vivo evaluation

Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material

Optimal design of mixture experiments for general blending models

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