Hierarchical Superhydrophobic Device to Concentrate and Precisely Localize Water-Soluble Analytes: A Route to Environmental Analysis.


Journal

Langmuir : the ACS journal of surfaces and colloids
ISSN: 1520-5827
Titre abrégé: Langmuir
Pays: United States
ID NLM: 9882736

Informations de publication

Date de publication:
22 11 2022
Historique:
pubmed: 12 11 2022
medline: 24 11 2022
entrez: 11 11 2022
Statut: ppublish

Résumé

An efficient superhydrophobic concentrator is developed using a hierarchical superhydrophobic surface on which the evaporation of a sessile droplet (6 μL) drives the nonvolatile elements it contains on a predefined micrometric analytical surface (pedestal of 80 μm diameter). This hierarchical silicon surface exhibits a surface texture made of etched nanopillars and consists of micropillars and guiding lines, arranged in radial symmetry around the central pedestal. The guiding lines ensure the overall convergence of the sessile droplet toward the central pedestal during evaporation. The nanopillar texturing induced a delay in the Cassie-Baxter to Wenzel regime transition, until the edge of the droplet reaches the periphery of the pedestal. Experiments performed with polymer microparticles suspended in ultrapure water or with DNA molecules solubilized in ultrapure water at sub-fM concentrations demonstrated that the totality of the nonvolatile elements in the liquid microvolume is delivered on or close to the pedestal area, in a very reproducible manner. The very high concentration capacity of the device enabled the discrimination of the degree of purity of ultrapure water samples from different origins. The concentrator also turned out to be functional for raw water samples, opening possible applications to environmental analysis.

Identifiants

pubmed: 36368024
doi: 10.1021/acs.langmuir.2c01690
doi:

Substances chimiques

Water 059QF0KO0R
Silicon Z4152N8IUI
Polymers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

14249-14260

Auteurs

Victor Fabre (V)

LAAS-CNRS, Université de Toulouse, CNRS, INSA, 31400 Toulouse, France.
TBI, Université de Toulouse, CNRS, INRAE, INSA, 31400 Toulouse, France.

Franck Carcenac (F)

LAAS-CNRS, Université de Toulouse, CNRS, INSA, 31400 Toulouse, France.

Adrian Laborde (A)

LAAS-CNRS, Université de Toulouse, CNRS, INSA, 31400 Toulouse, France.

Jean-Baptiste Doucet (JB)

LAAS-CNRS, Université de Toulouse, CNRS, INSA, 31400 Toulouse, France.

Christophe Vieu (C)

LAAS-CNRS, Université de Toulouse, CNRS, INSA, 31400 Toulouse, France.

Philippe Louarn (P)

IRAP, CNRS, Université de Toulouse, CNES, 31400 Toulouse, France.

Emmanuelle Trevisiol (E)

TBI, Université de Toulouse, CNRS, INRAE, INSA, 31400 Toulouse, France.

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Classifications MeSH