Recent Advances in 3D Printing of Biomedical Sensing Devices.

3D bio/chemical sensors 3D printing bioprinting electrophysiological sensors functional sensors microfluidic structures neural probes

Journal

Advanced functional materials
ISSN: 1616-301X
Titre abrégé: Adv Funct Mater
Pays: Germany
ID NLM: 101190390

Informations de publication

Date de publication:
23 Feb 2022
Historique:
entrez: 3 11 2022
pubmed: 4 11 2022
medline: 4 11 2022
Statut: ppublish

Résumé

Additive manufacturing, also called 3D printing, is a rapidly evolving technique that allows for the fabrication of functional materials with complex architectures, controlled microstructures, and material combinations. This capability has influenced the field of biomedical sensing devices by enabling the trends of device miniaturization, customization, and elasticity (i.e., having mechanical properties that match with the biological tissue). In this paper, the current state-of-the-art knowledge of biomedical sensors with the unique and unusual properties enabled by 3D printing is reviewed. The review encompasses clinically important areas involving the quantification of biomarkers (neurotransmitters, metabolites, and proteins), soft and implantable sensors, microfluidic biosensors, and wearable haptic sensors. In addition, the rapid sensing of pathogens and pathogen biomarkers enabled by 3D printing, an area of significant interest considering the recent worldwide pandemic caused by the novel coronavirus, is also discussed. It is also described how 3D printing enables critical sensor advantages including lower limit-of-detection, sensitivity, greater sensing range, and the ability for point-of-care diagnostics. Further, manufacturing itself benefits from 3D printing via rapid prototyping, improved resolution, and lower cost. This review provides researchers in academia and industry a comprehensive summary of the novel possibilities opened by the progress in 3D printing technology for a variety of biomedical applications.

Identifiants

pubmed: 36324737
doi: 10.1002/adfm.202107671
pmc: PMC9624470
mid: NIHMS1844684
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NINDS NIH HHS
ID : RF1 NS110483
Pays : United States

Déclaration de conflit d'intérêts

Conflict of Interest The authors declare no conflict of interest.

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Auteurs

Md Azahar Ali (MA)

Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15238, USA.

Chunshan Hu (C)

Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15238, USA.

Eric A Yttri (EA)

Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Rahul Panat (R)

Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15238, USA.

Classifications MeSH