A 3D‐Printed Scaffolded Hydrogel Microneedle Array Biosensor for Real‐Time, Continuous Monitoring
Abstract
ABSTRACT Hydrogel‐based biosensors offer a promising platform for designing microneedles capable of continuously tracking biomarkers in real time. However, such biosensors have been limited by the mechanical properties of hydrated hydrogels, which are generally ineffective at penetrating the skin to access interstitial fluid (ISF). As a solution, we have developed a microneedle‐array biosensor (MAB) patch that enables continuous, reversible sensing by coupling fluorescent deoxyribonucleic acid (DNA) aptamer switches to a hydrated hydrogel mesh within a 3D‐printed scaffold. This scaffold provides essential mechanical support for skin insertion while preserving the apatmer‐hydrogel's sensing functionality in the ISF. We demonstrate this design by tuning both aptamer switch design and hydrogel mesh size to detect exogenous levels of stress hormone cortisol and the metabolite adenosine triphosphate. We subsequently incorporated our cortisol‐sensing hydrogel into the MAB scaffold and coupled this system to a custom‐designed portable optical detector. Following in vitro validation, we demonstrated the biocompatibility and in vivo utility of our system by conducting continuous, real‐time measurements of exogenous cortisol in the ISF of live rats. These results demonstrate, for the first time, submicromolar detection using a sensor‐embedded hydrogel microneedle system, highlighting the MAB platform as a versatile solution for real‐time, continuous in vivo biosensing.
Article Details
Authors (21)
Jean Won Kwak
Department of Radiology Stanford University Stanford California USA
Tuan Trinh
Department of Radiology Stanford University Stanford California USA
Alexander D. White
Department of Bioengineering Stanford University Stanford California USA
Yihang Chen
Peking University , , ,
Noah Eckman
Department of Chemical Engineering Stanford University Stanford California USA
Ishaan Jain
Department of Radiology Stanford University Stanford California USA
Yue Xu
Nghi Nguyen
Deepak Gopalan
Department of Electrical Engineering Stanford University Stanford California USA
Ye Eun Kim
Department of Biology, Stanford University
Netra Unni Kamat
Department of Bioengineering Stanford University Stanford California USA
John R. Tumbleston
Department of Radiology Stanford University Stanford California USA
Chan Ho Park
Alex Yoshikawa
Department of Radiology Stanford University Stanford California USA
Jenny Ji
Department of Bioengineering Stanford University Stanford California USA
Maria Theresa Dulay
Department of Radiology Stanford University Stanford California USA
Michael Eisenstein
Eric A. Appel
Jaeyun Kim
Joseph M. DeSimone
Department of Radiology Stanford University Stanford California USA
Hyongsok Tom Soh