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Chee-Seng Toh

Researcher at Nanyang Technological University

Publications -  49
Citations -  1680

Chee-Seng Toh is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Biosensor & Membrane. The author has an hindex of 24, co-authored 49 publications receiving 1564 citations. Previous affiliations of Chee-Seng Toh include University of Southampton & California Institute of Technology.

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Electrochemical syntheses of highly ordered macroporous conducting polymers grown around self-assembled colloidal templates

TL;DR: In this paper, a self-assembled colloidal template based on poly(styrene) latex spheres was used as a template for 3D macroporous conducting polymer films and the template was subsequently removed by dissolution in toluene.
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Recent advances in analytical chemistry—A material approach

TL;DR: This review aims to survey examples of interesting works carried out in the last five years over a broad spectrum of materials classified as hybrids, nanomaterials and biomolecular materials.
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Membrane-Based Electrochemical Nanobiosensor for the Detection of Virus

TL;DR: A membrane-based electrochemical nanobiosensor sensitive toward whole viral particles is fabricated by forming a submicrometer thick nanoporous alumina membrane over a platinum disk electrode, demonstrating that the detection of a wide range of proteins and viruses can be achieved.
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Electrochemical impedance spectroscopy characterization of nanoporous alumina dengue virus biosensor.

TL;DR: Channel capacitance doubles when Denv2 is added but remains unchanged in the presence of two other non-specific viruses - West Nile virus and Chikungunya virus indicates biosensor specificity can be quantitatively measured using channel capacitance.
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Development of an electrochemical membrane-based nanobiosensor for ultrasensitive detection of dengue virus

TL;DR: The first direct quantitation of DENV-2 concentration in whole mosquito vector is demonstrated using this electrochemical nanobiosensor, and relative standard deviation (RSD) for triplicate analysis of 5.9% indicates an acceptable level of reproducibility.