Paper
19 February 2018 Silicon microneedle array for minimally invasive human health monitoring
Rosemary L. Smith, Scott D. Collins, Janice Duy, Timothy D. Minogue
Author Affiliations +
Abstract
A silicon microneedle array with integrated microfluidic channels is presented, which is designed to extract dermal interstitial fluid (ISF) for biochemical analysis. ISF is a cell-free biofluid that is known to contain many of the same constituents as blood plasma, but the scope and dynamics of biomarker similarities are known for only a few components, most notably glucose. Dermal ISF is accessible just below the outer skin layer (epidermis), which can be reached and extracted with minimal sensation and tissue trauma by using a microneedle array. The microneedle arrays presented here are being developed to extract dermal ISF for off-chip profiling of nucleic acid constituents in order to identify potential biomarkers of disease. In order to assess sample volume requirements, preliminary RNA profiling was performed with suction blister ISF. The microneedles are batch fabricated using established silicon technology (low cost), are small in size, and can be integrated with sensors for on-chip analysis. This approach portends a more rapid, less expensive, self-administered assessment of human health than is currently achievable with blood sampling, especially in non-clinical and austere settings. Ultimately, a wearable device for monitoring a person’s health in any setting is envisioned.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rosemary L. Smith, Scott D. Collins, Janice Duy, and Timothy D. Minogue "Silicon microneedle array for minimally invasive human health monitoring", Proc. SPIE 10491, Microfluidics, BioMEMS, and Medical Microsystems XVI, 1049102 (19 February 2018); https://doi.org/10.1117/12.2299264
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Cited by 7 scholarly publications and 1 patent.
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KEYWORDS
Silicon

Proteins

Diagnostics

Semiconducting wafers

Skin

Microfluidics

Profiling

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