A Multiscale Approach to the Design and Manipulation of Oil-in-Water Emulsion-Based Products
Author(s) -
Javier D. Gomez,
Diego Pradilla,
Óscar Álvarez
Publication year - 2021
Publication title -
international journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 25
eISSN - 1687-8078
pISSN - 1687-806X
DOI - 10.1155/2021/8897983
Subject(s) - emulsion , product (mathematics) , exponential function , materials science , computer science , mathematics , chemical engineering , mathematical analysis , engineering , geometry
Advances in computational technology and high-throughput modeling software have given rise to the tailored design of products that require accurate mathematical relationships for their assessment. Industrial emulsion-based products, ubiquitous to everyday life, are complex systems driven by interfacial phenomena that require quick property-prediction tools for their commercialization. In this work, by means of a multiscale approach, mathematical relationships to model oil-in-water emulsions and that can be applied to any commercial emulsion-based product are proposed. The energy consumption during the emulsification process ( E v , which transitions from monotonic increase to exponential growth at 80% w / w ), a parameter responsible for finished product performance, was linked to final product properties at three different levels: (i) molecular, through the dynamics of the interdroplet interactions given their distribution and structure at a microscopic level; (ii) microscopic, through average droplet size yielding an inversely proportional exponential relationship ( D 4,3 ∝ E v − 4 ); and (iii) macroscopic, through the plateau value of the elastic modulus and the flow behavior index leading to inversely proportional quadratic relationships ( G ′ ∝ E v − 2 and η ∝ E v − 2 , respectively). These relationships are valid at dispersed phase concentrations beyond the 60% w / w threshold where the packing of the droplets changes the emulsion’s microscopic structure giving rise to Van der Waals forces-driven phenomena. Finding this threshold allowed expanding the concentration ranges of previously reported models. The main expectation is that these results will aid researchers and process/product designers to optimize their work in different industrial applications.
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