Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Naji, M.
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Kottapalli, Ajay Giri Prakash

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University of Groningen

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (21/21 displayed)

  • 2023Electrically Conductive and Highly Stretchable Piezoresistive Polymer Nanocomposites via Oxidative Chemical Vapor Deposition16citations
  • 2023Fabric-like electrospun PVAc-graphene nanofiber webs as wearable and degradable piezocapacitive sensors27citations
  • 2023Fabric-like electrospun PVAc-graphene nanofiber webs as wearable and degradable piezocapacitive sensors27citations
  • 2022An Inkjet-Printed Piezoresistive Bidirectional Flow Sensor2citations
  • 2022Piezoresistive 3D graphene-PDMS spongy pressure sensors for IoT enabled wearables and smart products29citations
  • 20213D Printed Graphene-Coated Flexible Lattice as Piezoresistive Pressure Sensor15citations
  • 2021Optimizing harbor seal whisker morphology for developing 3D-printed flow sensor10citations
  • 2021Optimizing harbor seal whisker morphology for developing 3D-printed flow sensor10citations
  • 2021Biomimetic Soft Polymer Microstructures and Piezoresistive Graphene MEMS Sensors using Sacrificial Metal 3D Printing48citations
  • 2021Fabrication of polymeric microstructurescitations
  • 2021Bioinspired PDMS-graphene cantilever flow sensors using 3D printing and replica moulding36citations
  • 2021Bioinspired PDMS-graphene cantilever flow sensors using 3D printing and replica moulding36citations
  • 2020PDMS Flow Sensors With Graphene Piezoresistors Using 3D Printing and Soft Lithography5citations
  • 2019Bioinspired Cilia Sensors with Graphene Sensing Elements Fabricated Using 3D Printing and Casting64citations
  • 2019Fish-inspired flow sensing for biomedical applicationscitations
  • 2017Cupula-inspired hyaluronic acid-based hydrogel encapsulation to form biomimetic MEMS flow sensors28citations
  • 2017Flexible liquid crystal polymer-based electrochemical sensor for in-situ detection of zinc(II) in seawater26citations
  • 2016From Biological Cilia to Artificial Flow Sensors133citations
  • 2014Harbor seal inspired MEMS artificial micro-whisker sensor31citations
  • 2014Sensor, method for forming the same, and method of controlling the samecitations
  • 2013Development and testing of bio-inspired microelectromechanical pressure sensor arrays for increased situational awareness for marine vehicles41citations

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Chart of shared publication
Gładysz, Magdalena Z.
1 / 3 shared
Hendriksen, Mart
1 / 2 shared
Rudolf, Petra
1 / 62 shared
Mukherjee, Adrivit
1 / 9 shared
Włodarczyk-Biegun, Małgorzata K.
1 / 5 shared
Hemmatpour, Hamoon
1 / 4 shared
Dianatdar, Afshin
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Kamperman, Marleen
1 / 26 shared
Bose, Ranjita K.
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Sengupta, Debarun
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Pei, Yutao T.
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Jayawardhana, Bayu
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Lu, Liqiang
1 / 1 shared
Ribas Gomes, Diego
2 / 4 shared
Pei, Yutao
1 / 13 shared
Lu, Ewan
1 / 1 shared
Birudula, Srikanth
1 / 3 shared
Wortche, Heinrich J.
1 / 1 shared
Kamat, Amar M.
11 / 16 shared
Smit, Quinten
1 / 1 shared
Zheng, Xingwen
2 / 2 shared
Harish, Vinayak Sagar
2 / 2 shared
Cao, Ming
2 / 2 shared
Miao, Jianmin
4 / 4 shared
Asadnia, Mohsen
2 / 31 shared
Triantafyllou, Michael S.
2 / 4 shared
Kanhere, Elgar
2 / 2 shared
Bora, Meghali
1 / 1 shared
Wang, Nan
1 / 3 shared
Triantafyllou, Michael
2 / 2 shared
Corey, David P.
1 / 1 shared
Warkiani, Majid Ebrahimi
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Karavitaki, K. Domenica
1 / 1 shared
Miao, J. M.
1 / 1 shared
Triantafyllou, M. S.
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Hans, H.
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Asadnia, M.
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Jahromi, Mohsen Asadniaye Fard
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Dusek, J.
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Woo, M. E.
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Miao, J.
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Lang, J. H.
1 / 1 shared
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Co-Authors (by relevance)

  • Gładysz, Magdalena Z.
  • Hendriksen, Mart
  • Rudolf, Petra
  • Mukherjee, Adrivit
  • Włodarczyk-Biegun, Małgorzata K.
  • Hemmatpour, Hamoon
  • Dianatdar, Afshin
  • Kamperman, Marleen
  • Bose, Ranjita K.
  • Sengupta, Debarun
  • Pei, Yutao T.
  • Jayawardhana, Bayu
  • Lu, Liqiang
  • Ribas Gomes, Diego
  • Pei, Yutao
  • Lu, Ewan
  • Birudula, Srikanth
  • Wortche, Heinrich J.
  • Kamat, Amar M.
  • Smit, Quinten
  • Zheng, Xingwen
  • Harish, Vinayak Sagar
  • Cao, Ming
  • Miao, Jianmin
  • Asadnia, Mohsen
  • Triantafyllou, Michael S.
  • Kanhere, Elgar
  • Bora, Meghali
  • Wang, Nan
  • Triantafyllou, Michael
  • Corey, David P.
  • Warkiani, Majid Ebrahimi
  • Karavitaki, K. Domenica
  • Miao, J. M.
  • Triantafyllou, M. S.
  • Hans, H.
  • Asadnia, M.
  • Jahromi, Mohsen Asadniaye Fard
  • Dusek, J.
  • Woo, M. E.
  • Miao, J.
  • Lang, J. H.
OrganizationsLocationPeople

document

Fish-inspired flow sensing for biomedical applications

  • Kottapalli, Ajay Giri Prakash
  • Kamat, Amar M.
Abstract

Intravenous (IV) infusions, wherein the required medication is directly pumped into the patient’s bloodstream at a controlled rate using an infusion pump, represent a ubiquitous element of modern medicinal care. Although infusion pumps are a clinical boon, they are notorious for causing more injuries/deaths and being the subject of more FDA recalls than any other medical device. For instance, out of approximately 1.5 million adverse drug events (ADEs) that are reported to the FDA each year, around 54% are believed to be due to infusion pump errors, a further 61% of which are serious or life-threatening. A primary reason for this situation is that there is no way to verify the 'live rates' of an infusion which often causes over/under infusions and, consequently, costly ADEs. There thus exists a critical need and a market opportunity for a sensor capable of real-time monitoring of IV flows rates to prevent over/under infusions and avoid preventable ADEs.To address this problem, we take inspiration from the blind cavefish which is bestowed with ultrasensitive neuromast flow sensors capable of detecting extremely low water flows down to 1 µm/s. In this work, we develop artificial neuromast-like microelectromechanical systems (MEMS) flow sensors that imbibe the morphology and sensing principles of the blind cavefish, achieving high sensitivity and extremely low threshold detection limits. The MEMS sensor features a tiny hair-like structure that protrudes into the flow and translates the flow induced moment into a measureable voltage using a gold strain gauge patterned on a liquid crystal polymer (LCP) membrane. The sensors are ideal for IV flow sensing by being miniaturized (5mm×5mm), low-cost (< €1), ultrasensitive, biocompatible (polymer), accurate (< 10 ml/hr), low-powered (50 mW) and scalable (batch fabrication). Further, we describe a newly-developed, cleanroom-free, processing flow featuring 3D printing, soft polymer casting, and graphene drop-casting that can be used to fabricate flexible flow sensors. Our ultimate objective is to create low-cost and disposable microsensors that embed within the IV line to measure the real infusion flow rates and correct erroneous dosages through a feedback mechanism. This will allow remote monitoring of infusions, nurse workload reduction, and preventive maintenance. The technology has implications for safe homecare, healthy aging, and nurse shortage alleviation in the EU, and is expected to result in healthcare savings of €3mn per hospital per year, tapping into a market opportunity of €2b/yr.

Topics
  • impedance spectroscopy
  • morphology
  • gold
  • casting
  • aging
  • aging
  • liquid crystal