| Literature DB >> 35653647 |
Yao Wu1, Farshad Tehrani2, Hazhir Teymourian2, John Mack3, Alexander Shaver1, Maria Reynoso2, Jonathan Kavner2, Nickey Huang2, Allison Furmidge2, Andrés Duvvuri2, Yuhang Nie2, Lori M Laffel4, Francis J Doyle5, Mary-Elizabeth Patti4, Eyal Dassau5, Joseph Wang2, Netzahualcóyotl Arroyo-Currás1,3.
Abstract
The ability to continuously monitor the concentration of specific molecules in the body is a long-sought goal of biomedical research. For this purpose, interstitial fluid (ISF) was proposed as the ideal target biofluid because its composition can rapidly equilibrate with that of systemic blood, allowing the assessment of molecular concentrations that reflect full-body physiology. In the past, continuous monitoring in ISF was enabled by microneedle sensor arrays. Yet, benchmark microneedle sensors can only detect molecules that undergo redox reactions, which limits the ability to sense metabolites, biomarkers, and therapeutics that are not redox-active. To overcome this barrier, here, we expand the scope of these devices by demonstrating the first use of microneedle-supported electrochemical, aptamer-based (E-AB) sensors. This platform achieves molecular recognition based on affinity interactions, vastly expanding the scope of molecules that can be sensed. We report the fabrication of microneedle E-AB sensor arrays and a method to regenerate them for multiple uses. In addition, we demonstrate continuous molecular measurements using these sensors in flow systems in vitro using single and multiplexed microneedle array configurations. Translation of the platform to in vivo measurements is possible as we demonstrate with a first E-AB measurement in the ISF of a rodent. The encouraging results reported in this work should serve as the basis for future translation of microneedle E-AB sensor arrays to biomedical research in preclinical animal models.Entities:
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Year: 2022 PMID: 35653647 PMCID: PMC9202557 DOI: 10.1021/acs.analchem.2c00829
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 8.008