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Md. Mahbubur Rahman

Researcher at Konkuk University

Publications -  76
Citations -  2604

Md. Mahbubur Rahman is an academic researcher from Konkuk University. The author has contributed to research in topics: Dye-sensitized solar cell & Electrode. The author has an hindex of 21, co-authored 76 publications receiving 1862 citations. Previous affiliations of Md. Mahbubur Rahman include Incheon National University & Dongguk University.

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A comprehensive review of glucose biosensors based on nanostructured metal-oxides.

TL;DR: This article concentrates mainly on the development of different nanostructured metal-oxide based glucose biosensors with high sensitivity, fast response times, and stability for the determination of glucose by electrochemical oxidation.
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Highly sensitive and simultaneous determination of hydroquinone and catechol at poly(thionine) modified glassy carbon electrode

TL;DR: In this paper, a poly(thionine)-modified glassy carbon electrode (GCE) was used for the simultaneous and quantitative detection of hydroquinone (HQ) and catechol (CT).
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Recent advances of electrochemical and optical enzyme-free glucose sensors operating at physiological conditions.

TL;DR: This review summarizes recent developments of enzyme-free electrochemical and optical glucose sensors, as well as their respective wearable and commercially available devices, capable of detecting glucose at physiological pH conditions without the need to pretreat the biological fluids.
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A cholesterol biosensor based on a bi-enzyme immobilized on conducting poly(thionine) film

TL;DR: A simple and cheap cholesterol biosensor was designed by immobilizing cholesterol oxidase (ChOx) and horseradish peroxidase (HRP) onto a poly(thionine)-modified glassy carbon electrode (GCE/PTH) as discussed by the authors.
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Label-free aptasensor for the detection of cardiac biomarker myoglobin based on gold nanoparticles decorated boron nitride nanosheets.

TL;DR: A novel electrochemical aptasensor based on gold nanoparticles decorated on boron nitride nanosheets (AuNPs/BNNSs) for the sensitive and selective detection of myoglobin (Mb) is reported, and is a promising candidate for point-of-care diagnosis in real samples.