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V. V. R. Sai

Researcher at Indian Institute of Technology Madras

Publications -  42
Citations -  1269

V. V. R. Sai is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Optical fiber & Fiber optic sensor. The author has an hindex of 16, co-authored 29 publications receiving 916 citations. Previous affiliations of V. V. R. Sai include Indian Institute of Technology Bombay.

Papers
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Novel U-bent fiber optic probe for localized surface plasmon resonance based biosensor.

TL;DR: A sensor for sensitive measurement of refractive index (RI) with the help of optical absorbance properties of gold nanoparticles (GNP) coupled to an efficient optical transducer in the form of a U-bent fiber optic probe is described.
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Development of LSPR based U-bent plastic optical fiber sensors

TL;DR: In this article, a U-bent plastic optical fiber (POF) probe with high sensitivity and its applications to refractive index (RI) sensing was presented, which was fabricated by a controlled decladding procedure to remove the fluorinated polymer without damaging the poly methyl methacrylate (PMMA) core and a simple and scalable fabrication technique to obtain POF Ubent probes of desired geometry.
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Evanescent wave absorbance based fiber optic biosensor for label-free detection of E. coli at 280 nm wavelength.

TL;DR: It is shown that the enhanced EWA response from such U-bent probes, caused by the inherent optical absorbance properties of bacterial cells or biomolecules specifically bound to the sensor surface, can be exploited for the detection of pathogens.
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Optimal Design for U-bent Fiber-optic LSPR Sensor Probes

TL;DR: In this paper, a localized surface plasmon resonance (LSPR)-based fiber-optic probe was designed to obtain the highest possible refractive index (RI) sensitivity.
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P-FAB: A Fiber-Optic Biosensor Device for Rapid Detection of COVID-19

TL;DR: This work proposes to exploit the field-deployable/portable plasmonic fiber-optic absorbance biosensor (P-FAB) platform for one-step, wash-free detection of SARS-CoV-2 virus particles directly in saliva sample with minimal sample pre-processing.