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UID:972@biotech.technion.ac.il
DTSTART;TZID=Asia/Jerusalem:20201125T160000
DTEND;TZID=Asia/Jerusalem:20220202T164952
DTSTAMP:20220512T124720Z
URL:https://biotech.technion.ac.il/events/porous-silicon-biosensors-for-pr
 otein-targets-modelling-and-sensitivity-enhancement-2/
SUMMARY:Porous Silicon Biosensors for Protein Targets: Modelling and Sensit
 ivity Enhancement
DESCRIPTION:Nanostructured porous silicon (PSi) has been widely studied for
  the past two decades as an optical transducer for the detection of variou
 s molecules\, with advantages of simple fabrication\, high internal surfac
 e\, and unique optical properties. Despite these significant advantages\, 
 the clinical implementation of label-free PSi-based biosensors has been im
 paired by their insufficient sensitivity\, usually in the micromolar range
  for protein and DNA targets. In this work\, we investigate the limiting f
 actors of PSi-based optical biosensors and design methods for their improv
 ement. As a model system\, we study PSi Fabry-Pérot thin films\, function
 alized with DNA aptamers\, and utilize the reflective interferometric Four
 ier transform spectroscopy method for real-time and label-free detection o
 f different target proteins. We derive a comprehensive mathematical model\
 , which considers all mass transport and reaction kinetics phenomena in th
 ese biosensors. We demonstrate that the model successfully captures target
  binding rate in these biosensors\, contrary to the conventional model use
 d in the literature. The model is used to elucidate the impact of diffusio
 n rate in these biosensors and to develop rules of thumb for their optimiz
 ation. To enhance the performance of PSi-based biosensors\, we study metho
 ds for mass transfer acceleration. These include application of isotachoph
 oresis (ITP) for on-chip protein concentration\, target mixing on top of t
 he biosensor or microfluidic integration\, with up to 1000-fold enhancemen
 t in sensitivity. For the latter\, we present for the first-time integrati
 on of a PSi-based biosensor in 3D-printed microfluidic devices with improv
 ed performance\, compared to conventional polydimethylsiloxane microfluidi
 cs. Finally\, we develop a PSi-based biosensor for detection of a relevant
  protein cancer biomarker and present its selective detection in a highly 
 complex fluid of pancreatic juice.\n\n \n\nAbstract
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