Grant: Discovery Grants Program - Individual
Université d'Ottawa
$28,000.00
Surface Enhanced Raman Bbiosensors for Biomedical Applications
EF 2023-24
Résumé
Raman spectroscopy is a powerful tool for measuring vibrational quanta of molecules, wherein the resultant spectra provides unique chemical fingerprint. In complex biomedical matrices with thousands of different molecules, vibrational spectroscopy can be used to differentiate between biochemically distinct samples. Furthermore, the intensity of the Raman bands associated with a certain molecule are proportional to its concentration, thus allowing for simultaneous quantification. The major limitation of Raman spectroscopy is its weak signal, less than 1 in 107 incident photons are Raman scattered. Our group's overarching research goal is to create a compact, rapid, and highly sensitive point-of-care diagnostic platform based on the applicant's hollow-core photonic crystal fiber (HC-PCF) Raman system. This vision is supported by three complimentary objectives: 1.Functional nanoparticle development which include a) creating families of functionalized metal nanoparticles for surface enhanced Raman scattering that are amenable to specific sensing of clinically relevant organisms or molecules, and b) developing nanoparticles which provide simultaneous magnetic enrichment, biorecognition, and local surface plasmon resonance enhancement. These two objectives further two distinct surface enhanced Raman scattering methodologies; direct surface enhanced Raman scattering detection of analytes based on intrinsic in-situ spectral characteristics, and surface enhanced Raman scattering detection based on analyte isolated by biorecognition. 2.Advance the machine learning techniques used to process Raman spectra, improve machine learning models, extract features for biochemical analyses, and expedite model generation. 3.Miniaturization of Raman system to deploy a point-of-care spectral diagnostic system. The footprint of the conventional free-space spectrometer as well as the fluidic components that fill the HC-PCF must be reduced. To achieve this, bulk mechanical parts will be replaced by microfluidic equivalents, and similarly, free-space optics will be replaced by integrated optical components using metamaterials. This research program will further our collective knowledge on nanophotonics and nanomaterials and will lead to several advances in the fields of biomedical engineering and photonics. One of our principal aims is the development of devices for inherently multiplexed rapid spectral detection of diseases/ infections. Successful implementation of such devices will lead to faster diagnostic turnaround times, prompt administration of treatment, and better clinical outcomes. Fundamental scientific knowledge on the properties and synthesis of metal nanoparticles, the nanophotonic behavior of metamaterials, and the vibrational spectra of biological materials will also be gained.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2021-03328
Name nom
Anis, Hanan
Department département
Electrical Engineering and computer science
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
28000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
3100
Research subject group en
Physics
Research subject group fr
Physics
Research subject en
Physique
Research subject fr
Physique
Application title
Surface Enhanced Raman Bbiosensors for Biomedical Applications
Keyword
fibers; machine learning; microfluidics; nanoparticles; optical biosensors; Photonics; spectroscopy; Surface enhanced Raman
Application summary
Raman spectroscopy is a powerful tool for measuring vibrational quanta of molecules, wherein the resultant spectra provides unique chemical fingerprint. In complex biomedical matrices with thousands of different molecules, vibrational spectroscopy can be used to differentiate between biochemically distinct samples. Furthermore, the intensity of the Raman bands associated with a certain molecule are proportional to its concentration, thus allowing for simultaneous quantification. The major limitation of Raman spectroscopy is its weak signal, less than 1 in 107 incident photons are Raman scattered. Our group's overarching research goal is to create a compact, rapid, and highly sensitive point-of-care diagnostic platform based on the applicant's hollow-core photonic crystal fiber (HC-PCF) Raman system. This vision is supported by three complimentary objectives: 1.Functional nanoparticle development which include a) creating families of functionalized metal nanoparticles for surface enhanced Raman scattering that are amenable to specific sensing of clinically relevant organisms or molecules, and b) developing nanoparticles which provide simultaneous magnetic enrichment, biorecognition, and local surface plasmon resonance enhancement. These two objectives further two distinct surface enhanced Raman scattering methodologies; direct surface enhanced Raman scattering detection of analytes based on intrinsic in-situ spectral characteristics, and surface enhanced Raman scattering detection based on analyte isolated by biorecognition. 2.Advance the machine learning techniques used to process Raman spectra, improve machine learning models, extract features for biochemical analyses, and expedite model generation. 3.Miniaturization of Raman system to deploy a point-of-care spectral diagnostic system. The footprint of the conventional free-space spectrometer as well as the fluidic components that fill the HC-PCF must be reduced. To achieve this, bulk mechanical parts will be replaced by microfluidic equivalents, and similarly, free-space optics will be replaced by integrated optical components using metamaterials. This research program will further our collective knowledge on nanophotonics and nanomaterials and will lead to several advances in the fields of biomedical engineering and photonics. One of our principal aims is the development of devices for inherently multiplexed rapid spectral detection of diseases/ infections. Successful implementation of such devices will lead to faster diagnostic turnaround times, prompt administration of treatment, and better clinical outcomes. Fundamental scientific knowledge on the properties and synthesis of metal nanoparticles, the nanophotonic behavior of metamaterials, and the vibrational spectra of biological materials will also be gained.