Label-Free Classification of Bacterial Extracellular Vesicles by Combining Nanoplasmonic Sensors With Machine Learning

Bacterial extracellular vesicles (EVs) are nano- scale lipid-enclosed packages that are released by bacteria cells and shuttle various biomolecules between bacteria or host cells. They are implicated in playing several important roles, from infectious disease progression to maintaining proper gut he...

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Veröffentlicht in:	IEEE sensors journal 2022-01, Vol.22 (2), p.1128-1137
Hauptverfasser:	Kazemzadeh, Mohammadrahim, Hisey, Colin L., Dauros-Singorenko, Priscila, Swift, Simon, Zargar-Shoshtari, Kamran, Xu, Weiliang, Broderick, Neil G. R.
Format:	Artikel
Sprache:	eng
Schlagworte:	<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Escherichia coli Algorithms Bacteria Biomolecules biosensor E coli exosomes Extracellular Extracellular vesicles Fingerprinting Incident light Inelastic scattering Infectious diseases Lipids Machine learning Microorganisms nonlinear optics outer membrane vesicles Plasmonic Plasmons Proteins Raman scattering Raman spectroscopy Resonance scattering SERS Spectrum analysis Strain Vesicles
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