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Faaizah Khan

Researcher at King's College London

Publications -  11
Citations -  467

Faaizah Khan is an academic researcher from King's College London. The author has contributed to research in topics: Fluorescent glucose biosensor & Fluorophore. The author has an hindex of 9, co-authored 11 publications receiving 423 citations.

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Journal ArticleDOI

Nanomedicine and its potential in diabetes research and practice

TL;DR: Key techniques being fluorescence resonance energy transfer (FRET) and fluorescence lifetime sensing, as well as new nano‐encapsulation technologies for sensors such as layer‐by‐layer (LBL) films, might achieve better insulin delivery in diabetes by both improved islet encapsulation and oral insulin formulations.
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A fluorescence lifetime-based fibre-optic glucose sensor using glucose/ galactose-binding protein

TL;DR: Fluorescence lifetime fibre-optic glucose sensors based on GBP-Badan are suitable for development as clinical glucose monitors, and good working-day stability was demonstrated.
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Fluorescence lifetime spectroscopy and imaging of nano-engineered glucose sensor microcapsules based on glucose/galactose-binding protein.

TL;DR: It is concluded that fluorescence lifetime-based glucose sensing using GBP encapsulated with nano-engineered layer-by-layer films is a glucose monitoring technology suitable for development in diabetes management.
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Fluorescence-based sensing of glucose using engineered glucose/galactose-binding protein: a comparison of fluorescence resonance energy transfer and environmentally sensitive dye labelling strategies.

TL;DR: It is concluded that glucose sensing based on GBP and FRET does not produce a larger enough signal change for clinical use, and badan-GBP152C has a large glucose-induced fluorescence change, suitable for development as a glucose sensor.
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Fluorescence intensity- and lifetime-based glucose sensing using an engineered high-Kd mutant of glucose/galactose-binding protein.

TL;DR: It is concluded that the GBP mutant H152C/A213R/L238S, when labeled with Badan, is suitable for development as a robust sensor for in vivo glucose monitoring in diabetes.