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Rajeev K. Sukumaran

Researcher at National Institute for Interdisciplinary Science and Technology

Publications -  142
Citations -  8553

Rajeev K. Sukumaran is an academic researcher from National Institute for Interdisciplinary Science and Technology. The author has contributed to research in topics: Cellulase & Lignocellulosic biomass. The author has an hindex of 42, co-authored 119 publications receiving 7068 citations. Previous affiliations of Rajeev K. Sukumaran include Academy of Scientific and Innovative Research & Council of Scientific and Industrial Research.

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Journal ArticleDOI

Biological treatment of prawn shell wastes for valorization and waste management

TL;DR: In this paper, Bacillus megatarium and B. subtilis, isolated from prawn shell waste, were evaluated for their potential in demineralization (DM) and deproteination (DP) the shell waste for production of chitin and protein hydrolysate, alone or in combination.
Journal ArticleDOI

Ethanol production by a filamentous fungal strain Byssochlamys fulva AM130 under alternating aerobic and oxygen-limited conditions

TL;DR: Byssochlamys fulva AM130, a novel strain of filamentous fungus, could produce ethanol from glucose, xylose, and alkali pretreated rice straw (PRS), while the efficiencies were very low with PRS as discussed by the authors.
Book ChapterDOI

Microbes for the Synthesis of Chitin from Shrimp Shell Wastes

TL;DR: In this paper , a recent review highlights the production of chitin using microorganisms and mentions other recent greener approaches in Chitin production, considering environmentally friendly approaches, the usage of microorganisms has been tried out for chitins extraction from the shrimp shell.
Proceedings ArticleDOI

Implementation of Routing Protocol in Underwater Sensor Networks for Energy Harvesting

TL;DR: This research proposes Analytical Approach towards Reliability with Cooperation for UWSNs Energy Harvesting (ARCUNEH), an extension of already proposed ARCUN that integrates piezoelectrical energy harvesting at sensor nodes and shows that ARCUNEH outperforms ARCUN and RACE.