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Naveen kumar Rajendran

Researcher at K. S. Rangasamy College of Technology

Publications -  13
Citations -  99

Naveen kumar Rajendran is an academic researcher from K. S. Rangasamy College of Technology. The author has contributed to research in topics: Chemistry & Environmental science. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

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Investigation of CaO nanocatalyst synthesized from Acalypha indica leaves and its application in biodiesel production using waste cooking oil

TL;DR: In this article , the authors used CaO nanocatalyst from Acalypha indica to produce biodiesel from waste cooking oil (WCO) to reduce the disposal issues of WCO.
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Techno-economic analysis of food waste valorization for integrated production of polyhydroxyalkanoates and biofuels.

TL;DR: In this paper , the authors focused on the techno-economic analysis of integrated polyhydroxyalkanoates (PHAs) and bio-fuels such as biohydrogen, bioethanol, and 2,3-butanediol production from food waste (FW).
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Process optimization, economic and environmental analysis of biodiesel production from food waste using a citrus fruit peel biochar catalyst

TL;DR: In this paper , an optimization study of the extraction of oil from food waste using a solvent for biodiesel production was undertaken, where a biochar catalyst derived from citron ( Citrus medica ) peel containing a rich carbon source was used.
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Process evaluation and techno-economic analysis of biodiesel production from marine macroalgae Codium tomentosum.

TL;DR: In this paper , a seaweed Codium tomentosum was used as a source for the production of biodiesel and the maximum oil from marine macroalgae was recovered using ultrasound-assisted pretreatment.
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Techno-economic analysis and life cycle assessment of poly (butylene succinate) production using food waste.

TL;DR: In this paper , the authors investigated the economic feasibility of the poly succinate (PBS) from food waste and critical factors were evaluated, as well as the minimum selling price (MSP) of PBS and sensitivity analysis of economic factors based on critical input parameters.