Another Multiparametric Way In Planning Of Experiments For O/W Emulsion Design

TL;DR

This paper proposes a new resource-efficient experimental planning method for designing stable oil/water emulsions by using random equidistribution of raw material ratios to identify stability boundaries.

Contribution

It introduces a novel multiparametric experimental design approach that reduces resource use while effectively exploring formulation stability boundaries.

Findings

Effective identification of stability boundary regions

Reduced number of experiments needed

Comparable accuracy to traditional DOE methods

Abstract

Defining an effective way to design stable emulsions with limited resources is a challenge that every laboratory is facing at least once. Two ways of experiments have been trending as a cost-and-time-efficient method to explore factor impact (environmental ones such as temperature, or inherent like composition), and finally optimize formulations: i. multidimensional methods based on a dichotomic approach which require to change parameters one by one. These methods are commonly known to be quite ineffective to accurately correlate parameters; ii. in Design of Experiments (DOE), only a restricted number of experiments are required to understand, develop and predict new paths to formulation or new theories, though it usually requires specific and expensive software and specific mathematic skills. Our work aims to show a resource-effective way to plan experiments based on a random equidistribution of raw material ratios (Oil/Surfactants/Water: O/S/W) in order to identify O/W emulsion stability condition boundary.