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Ramesh Vinayagam

Researcher at Manipal University

Publications -  57
Citations -  1635

Ramesh Vinayagam is an academic researcher from Manipal University. The author has contributed to research in topics: Chemistry & Nanoparticle. The author has an hindex of 14, co-authored 25 publications receiving 661 citations. Previous affiliations of Ramesh Vinayagam include Manipal Institute of Technology.

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Photocatalytic degradation of Rhodamine B by zinc oxide nanoparticles synthesized using the leaf extract of Cyanometra ramiflora

TL;DR: Green synthesis of zinc oxide nanoparticles (ZnONPs) using the leaf extract of Cyanometra ramiflora and zinc acetate precursor possibly will play a promising part in the degradation of toxic dyes present in the wastewater.
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Structural characterization, antibacterial and catalytic effect of iron oxide nanoparticles synthesised using the leaf extract of Cynometra ramiflora

TL;DR: In this article, the leaf extract of Cynometra ramiflora was used to synthesize iron oxide nanoparticles, which exhibited effective inhibition against E. coli and S. epidermidis which may find its applications in the antibacterial drug development.
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Phyto-synthesis of silver nanoparticles from Mussaenda erythrophylla leaf extract and their application in catalytic degradation of methyl orange dye

TL;DR: In this article, an environmentally safe method for silver nanocatalyst synthesis using the leaf extract of Mussaenda erythrophylla, for the first time, has been described.
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Synthesis, characterization and photocatalytic dye degradation capability of Calliandra haematocephala-mediated zinc oxide nanoflowers.

TL;DR: An environmentally sound approach towards the green synthesis of zinc oxide nanostructures has been achieved with an aqueous extract of Calliandra haematocephala leaves, using a novel source using zinc oxide nanoparticles characterized using various analytical techniques.
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A critical review on production of bioethanol from macroalgal biomass

TL;DR: In this paper, the authors provide a critical assessment and detailed overview about the sequential process for bio-ethanol production from macroalgal biomass and provide an insight on various statistical optimization approaches using response surface methodology for the biomass pretreatment step.