S
Saakshi Dhanekar
Researcher at Indian Institutes of Technology
Publications - 40
Citations - 505
Saakshi Dhanekar is an academic researcher from Indian Institutes of Technology. The author has contributed to research in topics: Porous silicon & Wafer. The author has an hindex of 9, co-authored 33 publications receiving 425 citations. Previous affiliations of Saakshi Dhanekar include Jamia Millia Islamia & Indian Institute of Technology Delhi.
Papers
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Porous silicon biosensor: current status.
TL;DR: The present review describes the fabrication of nano-porous silicon and its biosensing capabilities for detection of various analytes including, but not limited to, glucose, DNA, antibodies, bacteria and viruses.
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Wafer-Scale Synthesized MoS2/Porous Silicon Nanostructures for Efficient and Selective Ethanol Sensing at Room Temperature
TL;DR: This paper presents the performance of a highly selective ethanol sensor based on MoS2-functionalized porous silicon (PSi), and an enhancement in sensitivity and a selective response for ethanol were observed, with a minimum detection limit of 1 ppm.
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Scalable fabrication of prototype sensor for selective and sub-ppm level ethanol sensing based on TiO2 nanotubes decorated porous silicon
TL;DR: In this paper, a miniaturized prototype sensor based on TiO2 nanotubes/porous silicon (PS) heterojunction is developed for selective ethanol sensing in sub-ppm range.
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Synthesis of α-MoO3 nano-flakes by dry oxidation of RF sputtered Mo thin films and their application in gas sensing
TL;DR: In this article, the synthesis of orthorhombic (α) MoO3 nano-flakes by dry oxidation of RF sputtered Mo thin film is presented, where the influence of Mo thickness variation, oxidation temperature and time on the crystallographic structure, surface morphology and roughness of MoO 3 thin films was studied using SEM, AFM, XRD and Raman spectroscopy.
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Organic vapour sensing by porous silicon: Influence of molecular kinetics in selectivity studies
TL;DR: In this article, the sensor parameters were studied for organic vapours like methanol, ethanol, propanol, acetone and benzene at low ppm level using capacitive measurements and a probabilistic approach of the concentration dependent vapour molecular kinetics was demonstrated to explain the sensor performance and selectivity studies.