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

M Tweedie, Dan Sun, Brian Ward, P Maguire

Research output: Contribution to journalArticle

Abstract

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 CO2transfer, without ion leakage, and report long-term stable bonding of thin PDMS membrane films to inert thermoplastic polyIJmethyl 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 floatbased depth profiling of dissolved inorganic carbon in the oceans
LanguageEnglish
Pages1287-1295
Number of pages9
JournalLab on a Chip
Volume19
Issue number7
Early online date1 Mar 2019
DOIs
Publication statusPublished - 7 Apr 2019

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Chemical sensors
Microfluidics
Membranes
Methacrylates
Thermoplastics
Carbon
Depth profiling
Chemical analysis
Tapes
Amines
Seals
Gases
Annealing
Ions
Plasmas
Coatings
Fluids
baysilon

Cite this

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Long-term hydrolytically stable bond formation for future membrane-based deep ocean microfluidic chemical sensors. / Tweedie, M; Sun, Dan; Ward, Brian; Maguire, P.

Vol. 19, No. 7, 07.04.2019, p. 1287-1295.

Research output: Contribution to journalArticle

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