Long-term hydrolytically stable bond formation for future membrane-based deep ocean microfluidic chemical sensors.


Journal

Lab on a chip
ISSN: 1473-0189
Titre abrégé: Lab Chip
Pays: England
ID NLM: 101128948

Informations de publication

Date de publication:
27 03 2019
Historique:
pubmed: 9 3 2019
medline: 9 3 2019
entrez: 9 3 2019
Statut: ppublish

Résumé

Future ocean profiling of dissolved inorganic carbon and other analytes will require miniaturised chemical analysis systems based on sealed gas membranes between two fluid channels. However, for long-term deployment in the deep ocean at high pressure, the ability to seal incompatible materials represents an immense challenge. We demonstrate proof of principle high strength bond sealing. We show that polydimethylsiloxane (PDMS) is a preferred membrane material for rapid CO2 transfer, without ion leakage, and report long-term stable bonding of thin PDMS membrane films to inert thermoplastic poly(methyl methacrylate) (PMMA) patterned manifolds. Device channels were filled with 0.01 M NaOH and subjected to repeated tape pull and pressure - flow tests without failure for up to six weeks. Bond formation utilised a thin coating of the aminosilane bis-[3-trimethoxysilylpropyl]amine (BTMSPA) conformally coated onto PMMA channels and surfaces and cured. All surfaces were subsequently plasma treated and devices subject to thermocompressive bond annealing. Successful chemically resistant bonding of membrane materials to thermoplastics opens the possibility of remote environmental chemical analysis and offers a route to float-based depth profiling of dissolved inorganic carbon in the oceans.

Identifiants

pubmed: 30848276
doi: 10.1039/c9lc00123a
doi:

Types de publication

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

Langues

eng

Pagination

1287-1295

Subventions

Organisme : National Science Foundation
ID : NSF 0961250
Pays : International

Auteurs

M Tweedie (M)

NIBEC, Ulster University, Belfast, BT37 0QB, Northern Ireland, UK. m.tweedie@ulster.ac.uk.

Classifications MeSH