Journal ArticleDOI
Mixture Experiment Approaches: Examples, Discussion, and Recommendations
TLDR
A mixture experiment involves varying the proportions of two or more ingredients, called components of the mixture, and studying the changes that occur in the measured properties (responses) of the components as mentioned in this paper.Abstract:
A mixture experiment involves varying the proportions of two or more ingredients, called components of the mixture, and studying the changes that occur in the measured properties (responses) of the...read more
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Design of experiments (DoE) in pharmaceutical development.
TL;DR: This review illustrates the principles of quality theory through the work of major contributors, the evolution of the QbD approach and the statistical toolset for its implementation, since DoE is presented in detail since it represents the first choice for rational pharmaceutical development.
Journal ArticleDOI
RSM-based model to predict the performance of self-compacting UHPC reinforced with hybrid steel micro-fibers
TL;DR: In this article, a statistical model using Response Surface Methodology (RSM) was developed to predict the performance of self-compacting ultra-high performance concrete (UHPC) reinforced with hybrid steel fibers.
Journal ArticleDOI
Statistical mixture design approach for eco-efficient UHPC
TL;DR: In this paper, an analytical method based on statistical mixture design (SMD) approach for eco-efficient ultra-high performance concrete (UHPC) mixtures was developed to assess the influence of each parameter as well as the interaction between these on the response variables and thus allowing mixture design.
Journal ArticleDOI
Resource allocation and compensation during development in holometabolous insects
David Nestel,Nikos T. Papadopoulos,Carlos Pascacio-Villafán,Nicoletta Righini,Alma Altúzar-Molina,Martín Aluja +5 more
TL;DR: An extensive review on current knowledge and future research paths on the topic of resource allocation and compensation during development in holometabolous insects, emphasizing the role of resource management during development, and how compensatory mechanisms may be acting to remediate nutritional deficiencies carried over from earlier stages of development.
Journal ArticleDOI
Optimal designs for experiments with mixtures: a survey
TL;DR: In this article, a survey article on known results about analytic solutions and numerical solutions of optimal designs for various regression models for experiments with mixtures is presented, including polynomial models, models with homogeneous functions, models containing inverse terms and ratios, log contrast models, and models with quantitative variables, and mod els containing the amount of mixture.
References
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Journal ArticleDOI
Extreme Vertices Design of Mixture Experiments
R. A. McLean,V. L. Anderson +1 more
TL;DR: The extreme vertices design as mentioned in this paper was developed as a procedure for conducting experiments with mixtures when several factors have constraints placed on them, and the constraints so imposed reduce the size of the factor space which would result had the factor levels been restricted to only 0 to 100 percent.
Journal ArticleDOI
Mathematical Optimization Techniques in Drug Product Design and Process Analysis
TL;DR: The Lagrangian method of optimization was employed to generate optimal formulations in typical tablet design problems and to locate optimizing levels of processing variables in a typical encapsulation design problem.
Journal ArticleDOI
Models for the Response of a Mixture
TL;DR: In this article, the authors propose models constructed from functions homogeneous of degree one which overcome these difficulties, yet leave a wide choice of models, leaving a wide range of models for a mixture system.
Journal ArticleDOI
Use of the simplex design in the study of joint action of related hormones
TL;DR: The aim of the present paper is to show that the study of joint action by means of an appropriate experimental design-the simplex design allows ready interpretation of experimental data with no reference to a joint tolerance distribution, and no further assumptions than normally required in quantal analysis.
Journal ArticleDOI
Techniques for the Analysis of Mixture Data
TL;DR: In this paper, it is shown that mixture models often can be simplified by observing near equalities among the estimated coefficients and that expressing the components in terms of pseudocomponents will sometimes improve the fit of Becker's models and improve the numerical analysis.