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Naga Siva Kumar Gunda

Researcher at York University

Publications -  43
Citations -  1169

Naga Siva Kumar Gunda is an academic researcher from York University. The author has contributed to research in topics: Dielectrophoresis & Blood serum. The author has an hindex of 18, co-authored 43 publications receiving 991 citations. Previous affiliations of Naga Siva Kumar Gunda include University of Alberta.

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Optimization and characterization of biomolecule immobilization on silicon substrates using (3-aminopropyl)triethoxysilane (APTES) and glutaraldehyde linker

TL;DR: It is observed that a uniform, homogenous and highly dense layer of biomolecules are immobilized with optimized silane layer on the silicon substrate.
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Reservoir-on-a-Chip (ROC): A new paradigm in reservoir engineering

TL;DR: It is successfully demonstrated that the conceptualized 'Reservoir-on-a-Chip' has the features of a realistic pore-network and in principle is able to perform the necessary flooding experiments that are routinely done in reservoir engineering.
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Focused ion beam-scanning electron microscopy on solid-oxide fuel-cell electrode: Image analysis and computing effective transport properties

TL;DR: In this article, the effect of different image processing steps including threshold value, median filter radius, morphological operators, surface triangulation, smoothing filter, etc., on porosity, internal surface area, electronic conductivity and diffusivity are studied.
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Under-water superoleophobicity of fish scales

TL;DR: This work shows that the under-water oil repellency of fish scales is entirely due to the mucus layer formation as part of its defense mechanism, which produces unprecedented contact angle close to 180°, thereby making fish scale behave highly superoleophobic inside the water medium.
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Mobile Water Kit (MWK): a smartphone compatible low-cost water monitoring system for rapid detection of total coliform and E. coli

TL;DR: The Mobile Water Kit (MWK) as discussed by the authors is a low-cost water sensor that can simultaneously detect total coliform and Escherichia coli (E. coli) bacteria in contaminated drinking water samples.