Biomolecular sensors for advanced physiological monitoring

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Body-based biomolecular sensing systems, including wearable, implantable and consumable sensors allow comprehensive health-related monitoring. Glucose sensors have long dominated wearable bioanalysis applications owing to their robust continuous detection of glucose, which has not yet been achieved for other biomarkers. However, access to diverse biological fluids and the development of reagentless sensing approaches may enable the design of body-based sensing systems for various analytes. Importantly, enhancing the selectivity and sensitivity of biomolecular sensors is essential for biomarker detection in complex physiological conditions. In this Review, we discuss approaches for the signal amplification of biomolecular sensors, including techniques to overcome Debye and mass transport limitations, and selectivity improvement, such as the integration of artificial affinity recognition elements. We highlight reagentless sensing approaches that can enable sequential real-time measurements, for example, the implementation of thin-film transistors in wearable devices. In addition to sensor construction, careful consideration of physical, psychological and security concerns related to body-based sensor integration is required to ensure that the transition from the laboratory to the human body is as seamless as possible.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - year:2023

Enthalten in:

Nature reviews bioengineering - (2023) vom: 11. Mai, Seite 1-16

Sprache:

Englisch

Beteiligte Personen:

Flynn, Connor D [VerfasserIn]
Chang, Dingran [VerfasserIn]
Mahmud, Alam [VerfasserIn]
Yousefi, Hanie [VerfasserIn]
Das, Jagotamoy [VerfasserIn]
Riordan, Kimberly T [VerfasserIn]
Sargent, Edward H [VerfasserIn]
Kelley, Shana O [VerfasserIn]

Links:

Volltext

Themen:

Analytical biochemistry
Analytical chemistry
Journal Article
Review
Sensors

Anmerkungen:

Date Revised 28.09.2023

published: Print-Electronic

Citation Status Publisher

doi:

10.1038/s44222-023-00067-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM358611261