PhD Position: Development of highly sensitive diffractive optical sensors for detection of VOC

Job Description

SENNET will develop novel sensors for the selective detection of priority VOCs, based on leveraging the adsorption properties of tuneable porous materials, namely metal-organic frameworks (MOFs) and zeolites. To do so, we will bridge the gap between two fields, namely porous crystalline materials and sensor technology, that have thus far been separated by traditional subject boundaries. SENNET is the first training network that will tackle this challenge, and will do so by combining expertise in chemistry, physics, materials engineering, and sensors.
Holographic sensors have been demonstrated to be a flexible platform for detection of chemical analytes, biomolecules and changes of the hologram environment such as humidity, temperature, pressure. In this project holographic structures of surface or volume holograms will be functionalised by coating/impregnating with either MOFs or zeolites and their sensing properties will be tested and optimised. Testing will include characterization of sensitivity, selectivity, stability, signal-to-noise ratio, reversibility, response time.
To develop surface holographic sensors for VOCs based on MOF- or zeolite-functionalised surface holograms.
To develop holographic sensors for VOCs based on volume holograms functionalised by MOFs or zeolites in the polymer layer.
To model and optimize the sensitivity of hybrid opto-mechanical sensors and to examine/validate the model by comparison to experiments.
To fabricate a proof-of-concept hybrid opto-mechanical holographic sensors functionalised MOFs or zeolites and evaluate their performance.

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