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Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor

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,...

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Autores principales: Sengupta, Debarun, Trap, Duco, Kottapalli, Ajay Giri Prakash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074942/
https://www.ncbi.nlm.nih.gov/pubmed/31991865
http://dx.doi.org/10.3390/nano10020211
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author Sengupta, Debarun
Trap, Duco
Kottapalli, Ajay Giri Prakash
author_facet Sengupta, Debarun
Trap, Duco
Kottapalli, Ajay Giri Prakash
author_sort Sengupta, Debarun
collection PubMed
description 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(−1)) and an oscillatory flow sensitivity of 26 mV/(m s(−1)), with a lower detection threshold limit of 12.1 mm/s in the case of oscillatory flows. The flow sensing calibration experiments establish the feasibility of the proposed method for developing inexpensive, yet sensitive, flow sensors; which will be useful for applications involving precise flow monitoring in microfluidic devices, precise air/oxygen intake monitoring for hypoxic patients, and other biomedical devices tailored for intravenous drip/urine flow monitoring. In addition, this work also establishes the applicability of CNFs as novel sensing elements in MEMS devices and flexible sensors.
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spelling pubmed-70749422020-03-20 Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor Sengupta, Debarun Trap, Duco Kottapalli, Ajay Giri Prakash Nanomaterials (Basel) Article 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(−1)) and an oscillatory flow sensitivity of 26 mV/(m s(−1)), with a lower detection threshold limit of 12.1 mm/s in the case of oscillatory flows. The flow sensing calibration experiments establish the feasibility of the proposed method for developing inexpensive, yet sensitive, flow sensors; which will be useful for applications involving precise flow monitoring in microfluidic devices, precise air/oxygen intake monitoring for hypoxic patients, and other biomedical devices tailored for intravenous drip/urine flow monitoring. In addition, this work also establishes the applicability of CNFs as novel sensing elements in MEMS devices and flexible sensors. MDPI 2020-01-26 /pmc/articles/PMC7074942/ /pubmed/31991865 http://dx.doi.org/10.3390/nano10020211 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sengupta, Debarun
Trap, Duco
Kottapalli, Ajay Giri Prakash
Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor
title Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor
title_full Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor
title_fullStr Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor
title_full_unstemmed Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor
title_short Piezoresistive Carbon Nanofiber-Based Cilia-Inspired Flow Sensor
title_sort piezoresistive carbon nanofiber-based cilia-inspired flow sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074942/
https://www.ncbi.nlm.nih.gov/pubmed/31991865
http://dx.doi.org/10.3390/nano10020211
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