Rhamnolipid self-aggregation in aqueous media: A long journey toward the definition of structure–property relationships
The need to protect human and environmental health and avoid the widespread use of
substances obtained from nonrenewable sources is steering research toward the discovery …
substances obtained from nonrenewable sources is steering research toward the discovery …
A comprehensive review on sustainable surfactants from CNSL: chemistry, key applications and research perspectives
A Veeramanoharan, SC Kim - RSC advances, 2024 - pubs.rsc.org
Surfactants, a group of amphiphilic molecules (ie with hydrophobic (water insoluble) as well
as hydrophilic (water soluble) properties) can modulate interfacial tension. Currently, the …
as hydrophilic (water soluble) properties) can modulate interfacial tension. Currently, the …
[HTML][HTML] PluronicŪ/casein micelles for ophthalmic delivery of resveratrol: In vitro, ex vivo, and in vivo tests
M Vivero-Lopez, C Sparacino… - International Journal of …, 2022 - Elsevier
Ocular health may strongly benefit from the supply of antioxidant agents that counteract free
radicals and reactive oxygen species responsible for long-term eye diseases. Additionally …
radicals and reactive oxygen species responsible for long-term eye diseases. Additionally …
[HTML][HTML] Surface and thermodynamics properties of commercial fatty-alcohol ethoxylate surfactants
JF Rincón-Romero, F Ríos, A Reyes-Requena… - Journal of Molecular …, 2023 - Elsevier
The present study provides the surface and thermodynamic properties data of commercial
fatty-alcohol ethoxylate surfactants (FAEs) at different temperatures (25–60° C). These …
fatty-alcohol ethoxylate surfactants (FAEs) at different temperatures (25–60° C). These …
Molecularly informed field theory for estimating critical micelle concentrations of intrinsically disordered protein surfactants
The critical micelle concentration (CMC) is a crucial parameter in understanding the self-
assembly behavior of surfactants. In this study, we combine simulation and experiment to …
assembly behavior of surfactants. In this study, we combine simulation and experiment to …
The effect of the molecular structure of alkyl ether carboxylate surfactants on the oil–water interfacial tension
Alkyl ether carboxylate surfactants at the alkane–water interface are explored experimentally
through interfacial tension measurements with the spinning drop method and molecular …
through interfacial tension measurements with the spinning drop method and molecular …
[HTML][HTML] Determining interfacial tension and critical micelle concentrations of surfactants from atomistic molecular simulations
H Cárdenas, MAH Kamrul-Bahrin, D Seddon… - Journal of Colloid and …, 2024 - Elsevier
Hypothesis Atomistically-detailed models of surfactants provide quantitative information on
the molecular interactions and spatial distributions at fluid interfaces. Hence, it should be …
the molecular interactions and spatial distributions at fluid interfaces. Hence, it should be …
[HTML][HTML] Sodium lauryl ether sulfates, pivotal surfactants for formulations: Rationalization of their assembly properties
R Zumpano, A Del Giudice, S Resta… - Colloids and Surfaces A …, 2024 - Elsevier
Hypothesis Sodium lauryl ether sulfates (SLES) are a class of surfactants, among the most
used in the formulations of healthcare products. Although largely used in industry, literature …
used in the formulations of healthcare products. Although largely used in industry, literature …
Interactions of cationic surfactant-fatty alcohol monolayers with natural human hair surface: Insights from dissipative particle dynamics
K Šindelka, A Kowalski, M Cooke, C Mendoza… - Journal of Molecular …, 2023 - Elsevier
Fatty alcohols (C n FAs) combined with cationic surfactants are common ingredients of
lamellar-phase personal care liquids. We employ mesoscopic modelling to study. how …
lamellar-phase personal care liquids. We employ mesoscopic modelling to study. how …
Can machine learning predict the phase behavior of surfactants?
We explore the prediction of surfactant phase behavior using state-of-the-art machine
learning methods, using a data set for twenty-three nonionic surfactants. Most machine …
learning methods, using a data set for twenty-three nonionic surfactants. Most machine …