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Sathyavathi Sundararaju

Researcher at Qatar Airways

Publications -  34
Citations -  751

Sathyavathi Sundararaju is an academic researcher from Qatar Airways. The author has contributed to research in topics: Medicine & RNA extraction. The author has an hindex of 8, co-authored 32 publications receiving 304 citations. Previous affiliations of Sathyavathi Sundararaju include Madurai Kamaraj University & Cornell University.

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Synthesis of silver nanoparticles using marine macroalgae Padina sp. and its antibacterial activity towards pathogenic bacteria

TL;DR: In this article, the synthesis of silver nanoparticles by marine alga Padina sp. and its characterization were fulfilled by using UV-visible spectrophotometer, Fourier transform infrared spectroscopy, scanning electron microscopy, and field emission scanning electron microscope.
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Microalgae cultivation using palm oil mill effluent as growth medium for lipid production with the effect of CO2 supply and light intensity

TL;DR: In this article, the authors used POME as a growth medium for the cultivation of Chlorella sp. and determined the effect of light intensity (ranging from 900 to 12,000 lux) and different CO2 concentrations by both experimentally and design expert methods.
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A Novel Point Mutation in the N Gene of SARS-CoV-2 May Affect the Detection of the Virus by Reverse Transcription-Quantitative PCR.

TL;DR: In this paper, the authors reported a novel N gene mutation (C29200A) seen in 3 patients, which affected the detection of SARS-CoV-2 N gene by a commercial assay.
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Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal specimens without extraction of viral RNA.

TL;DR: A protocol for direct RT-qPCR to detect SARS-CoV-2 in nasopharyngeal swabs without RNA extraction may help laboratories continue testing for the virus despite reagent shortages or expand their testing capacity in resource limited settings.
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Real-Time SARS-CoV-2 Genotyping by High-Throughput Multiplex PCR Reveals the Epidemiology of the Variants of Concern in Qatar.

TL;DR: In this article, the authors used RT-qPCR for real-time tracking of SARS-CoV-2 variants of concern in COVID-19 in Qatar, using 9792 nasopharyngeal PCR-positive samples collected between April-June 2021 were successfully genotyped, revealing the importation and transmission dynamics of these three variants in Qatar.