Probing foams from the nanometer to the millimeter scale by coupling small-angle neutron scattering, imaging, and electrical conductivity measurements.


Journal

Soft matter
ISSN: 1744-6848
Titre abrégé: Soft Matter
Pays: England
ID NLM: 101295070

Informations de publication

Date de publication:
30 Nov 2022
Historique:
pubmed: 8 11 2022
medline: 8 11 2022
entrez: 7 11 2022
Statut: epublish

Résumé

Liquid foams are multi-scale structures whose structural characterization requires the combination of very different techniques. This inherently complex task is made more difficult by the fact that foams are also intrinsically unstable systems and that their properties are highly dependent on the production protocol and sample container. To tackle these issues, a new device has been developed that enables the simultaneous time-resolved investigation of foams by small-angle neutron scattering (SANS), electrical conductivity, and bubbles imaging. This device allows the characterization of the foam and its aging from nanometer up to centimeter scale in a single experiment. A specific SANS model was developed to quantitatively adjust the scattering intensity from the dry foam. Structural features such as the liquid fraction, specific surface area of the Plateau borders and inter-bubble films, and thin film thickness were deduced from this analysis, and some of these values were compared with values extracted from the other applied techniques. This approach has been applied to a surfactant-stabilized liquid foam under free drainage and the underlying foam destabilization mechanisms were discussed with unprecedented detail. For example, the information extracted from the image analysis and SANS data allows for the first time to determine the disjoining pressure

Identifiants

pubmed: 36341841
doi: 10.1039/d2sm01252a
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8733-8747

Auteurs

Julien Lamolinairie (J)

Institut Max von Laue - Paul Langevin (ILL), 71 Avenue des Martyrs, 38042 Grenoble, France. chiappisil@ill.fr.

Benjamin Dollet (B)

Université Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.

Jean-Luc Bridot (JL)

Teclis Scientific, 69380 Civrieux-d'Azergues, France.

Pierre Bauduin (P)

ICSM, Univ Montpellier, CEA, CNRS, ENSCM, Marcoule, France.

Olivier Diat (O)

ICSM, Univ Montpellier, CEA, CNRS, ENSCM, Marcoule, France.

Leonardo Chiappisi (L)

Institut Max von Laue - Paul Langevin (ILL), 71 Avenue des Martyrs, 38042 Grenoble, France. chiappisil@ill.fr.

Classifications MeSH