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Guiding Light to Detect Life: Nanowires for Optical Biosensing

Davtyan, Rubina LU (2026)
Abstract
Semiconductor nanowires provide a versatile platform for fluorescence-based detection enabled by their high refractive index and waveguiding properties, which amplify excitation and emission from surface-bound fluorophores. Together with their large surface-to-volume ratio, these features enable enhanced and even single-molecule sensitivity.

This thesis explores the use of gallium phosphide (GaP) and silicon (Si) nanowires through integrated experimental and computational studies, demonstrating their capabilities for sensitive and quantitative biosensing applications. Using single-emitter localization on well-spaced vertical nanowires combined with brightfield microscopy and systematic analysis, detection ranges can extend over... (More)
Semiconductor nanowires provide a versatile platform for fluorescence-based detection enabled by their high refractive index and waveguiding properties, which amplify excitation and emission from surface-bound fluorophores. Together with their large surface-to-volume ratio, these features enable enhanced and even single-molecule sensitivity.

This thesis explores the use of gallium phosphide (GaP) and silicon (Si) nanowires through integrated experimental and computational studies, demonstrating their capabilities for sensitive and quantitative biosensing applications. Using single-emitter localization on well-spaced vertical nanowires combined with brightfield microscopy and systematic analysis, detection ranges can extend over five orders of magnitude, reaching femtomolar levels in streptavidin-biotin assays. Similarly, immobilizing fluorescent molecular beacons on nanowires improves signal-to-background contrast and allows direct oligonucleotide detection at sub-nanomolar concentrations. The nanowire geometry also facilitates extraction of off-plane molecular positions: by modeling point spread functions and training convolutional neural networks on simulated datasets, axial localization accuracies below 100 nm are achieved, enabling tracking of labeled DNA diffusing in supported lipid bilayers.

Nanowires also function effectively in complex sample environments. When embedded in polymer matrices and imaged through transparent substrates, they overcome scattering and absorption in opaque media, allowing sub-nanomolar detection of fluorescently labeled proteins in whole blood, lipid emulsions, and powdered milk without sample processing. Overall, this thesis expands the application scope of semiconductor nanowires for optical biosensing, demonstrating single-molecule detection, extended dynamic range, direct oligonucleotide sensing, three-dimensional localization, and operation in opaque biological samples. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Dr. Peters, Ruby, University of Sheffield, United Kingdom.
organization
publishing date
type
Thesis
publication status
published
subject
keywords
Nanowire, Biosensing, Fluorescence Microscopy, Single-molecule detection (SMD), Computational modeling, Image Analysis
publisher
Department of Physics, Lund University
defense location
Lecture Hall Rydbergsalen, Department of Physics, Professorsgatan 1, Faculty of Engineering LTH, Lund University, Lund.
defense date
2026-02-06 09:15:00
ISBN
978-91-8104-794-3
978-91-8104-795-0
language
English
LU publication?
yes
id
3c8b7a8f-5cd2-4e54-a519-88eb75ccabe6
date added to LUP
2026-01-08 17:50:12
date last changed
2026-01-13 08:58:54
@phdthesis{3c8b7a8f-5cd2-4e54-a519-88eb75ccabe6,
  abstract     = {{Semiconductor nanowires provide a versatile platform for fluorescence-based detection enabled by their high refractive index and waveguiding properties, which amplify excitation and emission from surface-bound fluorophores. Together with their large surface-to-volume ratio, these features enable enhanced and even single-molecule sensitivity.<br/><br/>This thesis explores the use of gallium phosphide (GaP) and silicon (Si) nanowires through integrated experimental and computational studies, demonstrating their capabilities for sensitive and quantitative biosensing applications. Using single-emitter localization on well-spaced vertical nanowires combined with brightfield microscopy and systematic analysis, detection ranges can extend over five orders of magnitude, reaching femtomolar levels in streptavidin-biotin assays. Similarly, immobilizing fluorescent molecular beacons on nanowires improves signal-to-background contrast and allows direct oligonucleotide detection at sub-nanomolar concentrations. The nanowire geometry also facilitates extraction of off-plane molecular positions: by modeling point spread functions and training convolutional neural networks on simulated datasets, axial localization accuracies below 100 nm are achieved, enabling tracking of labeled DNA diffusing in supported lipid bilayers.<br/><br/>Nanowires also function effectively in complex sample environments. When embedded in polymer matrices and imaged through transparent substrates, they overcome scattering and absorption in opaque media, allowing sub-nanomolar detection of fluorescently labeled proteins in whole blood, lipid emulsions, and powdered milk without sample processing. Overall, this thesis expands the application scope of semiconductor nanowires for optical biosensing, demonstrating single-molecule detection, extended dynamic range, direct oligonucleotide sensing, three-dimensional localization, and operation in opaque biological samples.}},
  author       = {{Davtyan, Rubina}},
  isbn         = {{978-91-8104-794-3}},
  keywords     = {{Nanowire; Biosensing; Fluorescence Microscopy; Single-molecule detection (SMD); Computational modeling; Image Analysis}},
  language     = {{eng}},
  month        = {{01}},
  publisher    = {{Department of Physics, Lund University}},
  school       = {{Lund University}},
  title        = {{Guiding Light to Detect Life: Nanowires for Optical Biosensing}},
  url          = {{https://lup.lub.lu.se/search/files/238428019/e-nailing_ex_Rubina.pdf}},
  year         = {{2026}},
}