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Joseph W. Ndieyira

Researcher at Jomo Kenyatta University of Agriculture and Technology

Publications -  14
Citations -  387

Joseph W. Ndieyira is an academic researcher from Jomo Kenyatta University of Agriculture and Technology. The author has contributed to research in topics: Cantilever & Signal. The author has an hindex of 7, co-authored 14 publications receiving 361 citations. Previous affiliations of Joseph W. Ndieyira include Royal Free Hospital & London Centre for Nanotechnology.

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Nanomechanical detection of antibiotic-mucopeptide binding in a model for superbug drug resistance.

TL;DR: The label-free detection of vancomycin binding to bacterial cell wall precursor analogues (mucopeptides) on cantilever arrays is reported, with 10 nM sensitivity and at clinically relevant concentrations in blood serum, placing BioMEMS devices in a new class of percolative systems.
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Surface-stress sensors for rapid and ultrasensitive detection of active free drugs in human serum.

TL;DR: The work reveals variations among strong and weak competing ligands, such as proteins in human serum, that determine dosages in drug therapies and will help develop better treatments, including choice of drugs as well as dosages, against pathogens.
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Decoupling competing surface binding kinetics and reconfiguration of receptor footprint for ultrasensitive stress assays.

TL;DR: A way to immobilize membrane receptors on nanomechanical cantilevers so that they can function without passivating the underlying surface and offer a new way to sense biomolecules and will aid in the creation of ultrasensitive biosensors.
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Disentangling mechanical and mass effects on nanomechanical resonators

TL;DR: In this paper, the authors demonstrate a procedure to disentangle this complex sensor response, to simultaneously measure both mass and elastic properties of nanometer thick samples, enabling them to measure more than mass alone.
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Surface mediated cooperative interactions of drugs enhance mechanical forces for antibiotic action

TL;DR: It is demonstrated that drug-target interactions are strengthened by pronounced polyvalent interactions catalyzed by the surface itself, which further enhance the understanding of antibiotic mode of action and will enable development of more effective therapies.