Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor.

biomimetic sensor carbon nanofiber cilia flexible electronics flow sensor piezoresistive

Journal

Nanomaterials (Basel, Switzerland)
ISSN: 2079-4991
Titre abrégé: Nanomaterials (Basel)
Pays: Switzerland
ID NLM: 101610216

Informations de publication

Date de publication:
26 Jan 2020
Historique:
received: 01 01 2020
revised: 23 01 2020
accepted: 24 01 2020
entrez: 30 1 2020
pubmed: 30 1 2020
medline: 30 1 2020
Statut: epublish

Résumé

Evolving over millions of years, hair-like natural flow sensors called cilia, which are found in fish, crickets, spiders, and inner ear cochlea, have achieved high resolution and sensitivity in flow sensing. In the pursuit of achieving such exceptional flow sensing performance in artificial sensors, researchers in the past have attempted to mimic the material, morphological, and functional properties of biological cilia sensors, to develop MEMS-based artificial cilia flow sensors. However, the fabrication of bio-inspired artificial cilia sensors involves complex and cumbersome micromachining techniques that lay constraints on the choice of materials, and prolongs the time taken to research, design, and fabricate new and novel designs, subsequently increasing the time-to-market. In this work, we establish a novel process flow for fabricating inexpensive, yet highly sensitive, cilia-inspired flow sensors. The artificial cilia flow sensor presented here, features a cilia-inspired high-aspect-ratio titanium pillar on an electrospun carbon nanofiber (CNF) sensing membrane. Tip displacement response calibration experiments conducted on the artificial cilia flow sensor demonstrated a lower detection threshold of 50 µm. Furthermore, flow calibration experiments conducted on the sensor revealed a steady-state airflow sensitivity of 6.16 mV/(m s

Identifiants

pubmed: 31991865
pii: nano10020211
doi: 10.3390/nano10020211
pmc: PMC7074942
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : University of Groningen's start-up grant awarded to Ajay Giri Prakash Kottapalli
ID : 190343063

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Debarun Sengupta (D)

Department of Advanced Production Engineering, Engineering and Technology Institute Groningen, Faculty of Science and Engineering, University of Groningen, Nijenborgh 4, 9747AG Groningen, The Netherlands.

Duco Trap (D)

Department of Advanced Production Engineering, Engineering and Technology Institute Groningen, Faculty of Science and Engineering, University of Groningen, Nijenborgh 4, 9747AG Groningen, The Netherlands.

And Ajay Giri Prakash Kottapalli (AAGP)

Department of Advanced Production Engineering, Engineering and Technology Institute Groningen, Faculty of Science and Engineering, University of Groningen, Nijenborgh 4, 9747AG Groningen, The Netherlands.
MIT Sea Grant College Program, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 02139 Cambridge, USA.

Classifications MeSH