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Aditi Banerjee

Researcher at Indian Institute of Technology Guwahati

Publications -  20
Citations -  893

Aditi Banerjee is an academic researcher from Indian Institute of Technology Guwahati. The author has contributed to research in topics: Bioremediation & Wastewater. The author has an hindex of 11, co-authored 20 publications receiving 675 citations. Previous affiliations of Aditi Banerjee include Indian Institute of Science.

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Phenol degradation by Bacillus cereus: pathway and kinetic modeling.

TL;DR: Modeling of the biodegradation of phenol indicates that the Haldane inhibitory model predicts the experimental data fairly well for both the strains.
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Enzymatic degradation of polymers: a brief review

TL;DR: A review of enzyme mediated biodegradation of various polymers including synthetic, natural and blends of these materials is presented in this paper, where detailed examples of enzymatic degradation of polymers are illustrated with the discussion on various factors that can influence the degradation.
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Polyolefin based antibacterial membranes derived from PE/PEO blends compatibilized with amine terminated graphene oxide and maleated PE

TL;DR: In this paper, various strategies like amine terminated GO (GO-NH2), in situ formed polyethylene grafted GO (PE-g-GO) and their combinations with maleated PE (maleic anhydride grafted PE) were adopted to reactively compatibilize blends of low density polyethylenes (LDPE) and Polyethylene oxide (PEO) to design porous, antibacterial membranes for separation technology and the flux and the resistance across the membranes were studied systematically.
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Phenol degradation performance by isolated Bacillus cereus immobilized in alginate

TL;DR: Phenol degradation by Bacillus cereus AKG1 and AKG2 MTCC 9818 was investigated and degradation kinetics are reported for the free and Ca-alginate gel-immobilized systems, indicating improved tolerance of the immobilized cells toward phenol toxicity.
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Isolation and characterization of hyper phenol tolerant Bacillus sp. from oil refinery and exploration sites.

TL;DR: The 16S rDNA sequence of strain AKG1 showed the closest relation to B. cereus 99.63% and Bacillus coagulans 99.64% followed by 99.34% homology with Bacillus thuringiensis strain 2PR56-10 and the lowest similarity 99.19% among same genus similar sequences.