Energy-Efficient, On-Demand Activation of Biosensor Arrays for Long-Term Continuous Health Monitoring.

biosensor array continuous glucose monitoring pulse current activation

Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
21 May 2022
Historique:
received: 13 04 2022
revised: 19 05 2022
accepted: 19 05 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 1 6 2022
Statut: epublish

Résumé

Wearable biosensors for continuous health monitoring, particularly those used for glucose detection, have a limited operational lifetime due to biodegradation and fouling. As a result, patients must change sensors frequently, increasing cost and patient discomfort. Arrays of multiple sensors, where the individual devices can be activated on demand, increase overall operational longevity, thereby reducing cost and improving patient outcomes. This work demonstrates the feasibility of this approach via decomposition of combustible nitrocellulose membranes that protect the individual sensors from exposure to bioanalytes using a current pulse. Metal contacts, connected by graphene-loaded PEDOT:PSS polymer on the surface of the membrane, deliver the required energy to decompose the membrane. Nitrocellulose membranes with a thickness of less than 1 µm consistently transfer on to polydimethylsiloxane (PDMS) wells. An electrical energy as low as 68 mJ has been shown to suffice for membrane decomposition.

Identifiants

pubmed: 35624659
pii: bios12050358
doi: 10.3390/bios12050358
pmc: PMC9138492
pii:
doi:

Substances chimiques

Polymers 0
Graphite 7782-42-5
Collodion 9004-70-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : C. Kenneth and Dianne Wright Center for Clinical and Translational Research (CCTR) Endow-ment Fund of the Virginia Commonwelth University
ID : 2-92880

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Auteurs

Jonathan Lundquist (J)

Department of Electrical and Computer Engineering, College of Engineering, Virginia Commonwealth University, 907 Floyd Ave, Richmond, VA 23284, USA.

Benjamin Horstmann (B)

Department of Electrical and Computer Engineering, College of Engineering, Virginia Commonwealth University, 907 Floyd Ave, Richmond, VA 23284, USA.

Dmitry Pestov (D)

Nanomaterials Core Characterization Facility, College of Engineering, Virginia Commonwealth University, 907 Floyd Ave, Richmond, VA 23284, USA.

Umit Ozgur (U)

Department of Electrical and Computer Engineering, College of Engineering, Virginia Commonwealth University, 907 Floyd Ave, Richmond, VA 23284, USA.

Vitaliy Avrutin (V)

Department of Electrical and Computer Engineering, College of Engineering, Virginia Commonwealth University, 907 Floyd Ave, Richmond, VA 23284, USA.

Erdem Topsakal (E)

Department of Electrical and Computer Engineering, College of Engineering, Virginia Commonwealth University, 907 Floyd Ave, Richmond, VA 23284, USA.

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Classifications MeSH