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Bey Fen Leo

Researcher at University of Malaya

Publications -  56
Citations -  1416

Bey Fen Leo is an academic researcher from University of Malaya. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 19, co-authored 44 publications receiving 833 citations. Previous affiliations of Bey Fen Leo include London Centre for Nanotechnology & National Chiao Tung University.

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The Stability of Silver Nanoparticles in a Model of Pulmonary Surfactant

TL;DR: The stability of AgNPs in dipalmitoylphosphatidylcholine (DPPC), the major component of pulmonary surfactant, was investigated as a function of pH and revealed that lung lining fluid, particularly DPPC, can modify the aggregation state and kinetics of Ag(+) ion release of inhaled AgNPS in the lung.
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Silver nanoparticles reduce brain inflammation and related neurotoxicity through induction of H2S-synthesizing enzymes.

TL;DR: Results indicate that intracellular Ag2S formation, resulting from CSE-mediated H2S production in microglia, sequesters Ag+ ions released from AgNPs, significantly limiting their toxicity, concomitantly reducing microglial inflammation and related neurotoxicity.
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Graphene oxide exhibits differential mechanistic action towards Gram-positive and Gram-negative bacteria.

TL;DR: Characterizations of synthesized GO confirmed the transition of graphene to GO and the antibacterial activity of GO was concentration and time-dependent and loss of membrane integrity in bacteria was enhanced with increasing GO concentrations and this corresponded to the elevated release of LDH in the reaction medium.
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The Toxic Truth About Carbon Nanotubes in Water Purification: a Perspective View

TL;DR: A CNT safety clock is proposed that could form the basis of an acceptable CNTSafety guidelines and several new risk analysis roots and framework extrapolations from CNT-based water purification technologies are suggested.
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All-carbon suspended nanowire sensors as a rapid highly-sensitive label-free chemiresistive biosensing platform.

TL;DR: The results showed that the sensor is highly specific and sensitive in detection of Salmonella with a detection limit of 10 CFU mL-1 and this proposed chemiresistive assay has a reduced turnaround time of 5 min and sample volume requirement of5 µL which are much less than reported in the literature.