E
E. M. I. Mala Ekanayake
Researcher at Central Queensland University
Publications - 16
Citations - 294
E. M. I. Mala Ekanayake is an academic researcher from Central Queensland University. The author has contributed to research in topics: Polypyrrole & Biosensor. The author has an hindex of 5, co-authored 13 publications receiving 286 citations. Previous affiliations of E. M. I. Mala Ekanayake include Kyushu Institute of Technology.
Papers
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Journal ArticleDOI
Polypyrrole nanotube array sensor for enhanced adsorption of glucose oxidase in glucose biosensors.
TL;DR: A novel amperometric biosensor based on polypyrrole (PPy) nanotube array deposited on a Pt plated nano-porous alumina substrate and its performances are described, which contribute to increase the characteristic performances of the novel biosensor.
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Low density lipoprotein detection based on antibody immobilized self-assembled monolayer: investigations of kinetic and thermodynamic properties.
Zimple Matharu,Amay J. Bandodkar,G Sumana,Pratima R. Solanki,E. M. I. Mala Ekanayake,Keiichi Kaneto,Vinay Gupta,Bansi D. Malhotra +7 more
TL;DR: Kinetic, thermodynamic, and sticking probability studies disclosed that desorption of the water molecules from the active sites of AAB and LDL plays a key role in the interaction process and increase in temperature favors binding of LDL with the AAB/ATP/Au immunosensor.
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Bi-functional amperometric biosensor for low concentration hydrogen peroxide measurements using polypyrrole immobilizing matrix
TL;DR: In this article, the use of nanoporous polypyrrole on H2O2 bi-functional sensing after immobilizing horseradish peroxidase (HRP) is described.
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Effect of Glucose Oxidase Immobilizing Techniques on Performances of Nano Scale Polypyrrole Glucose Biosensors
TL;DR: In this paper, the authors used Pt coated AnodiscTMs (0.2 µm) as electrodes to polymerize polypyrrole (PPy) at 0.3 mA cm-2 using a solution containing 0.05 M Pyrrole and 0.1 M NaPF6.
Sensor Network Applications in Structures – A Survey
TL;DR: In this paper, the authors identify different usages of sensor networks in structures and further elaborate on different types of sensing together with the techniques associated with processing the parameters sensed by the sensor networks to achieve the desired implementation goals.