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on the antioxidant activity of the wine. 2 Materials and methods 2.1 Design of experiment The experiment was carried out in real conditions of the winery on the variety Welschriesling in a total volume of 1650 L in two variants: technology with the
multifactorial mechanism. This observation is crucial when undertaking method development because it points clearly to the need of using multifactorial statistical approaches for this task such as Design of Experiments. 4
surface methodology . International Journal of Food Science and Technology , 48 ( 7 ): 1519 – 1525 . https://doi.org/10.1111/ijfs.12120 . Beg , S. (Ed.) ( 2021 ). Design of experiments for pharmaceutical product development . Springer Singapore
systematic approach that includes multidimensional combinations of input variables using design of experiments such as Response Surface Methodology (RSM) to obtain optimal conditions with better quality assurance [ 10 ]. Design Space (DS) is a key step in the
. Stoyanov V . Investigation of properties of decorative mortars based on design of experiments In: Proceedings of International Conference on Civil Engineering Design and Construction . (Eurocodes—Science and Practice) DCB 2010
saturated steam pressure P and processing time t (as independent parameters) on TFC of final products were evaluated by implementing a specific two-parameter/five-level central composite rotatable design of experiments DoE. The results were statistically
=550 g mol –1 , respectively. 1.4 Statistical evaluations Empirical design of experiment: Response Surface Methodology was used as a statistical tool to optimize the multivariable process. RSM is one of the statistical tools that are mainly used for the
conductivity of the produced foam glass. 2 Materials and methods 2.1 Design of experiments In order to conduct the research work, first of all, the experiments were designed. As this study focuses on the effect of particle size and foaming agent to glass weight
performed using MODDE® 12.1 software. Design of experiment Plackett-Burman design (PBD) with five variables was used for screening the significant and non-significant variables. This design was selected based on the small number of experiments required. The
, evaluation of stability of drugs, and the evaluation of enantiomers. AQbD approach utilizes statistical Design of Experiments (DoE) to create a 'design space' that defines a robust analytical procedure [ 7 ]. The Food and Drug Administration (FDA) has
