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  4. Metasurface-based molecular biosensing aided by artificial intelligence
 
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Metasurface-based molecular biosensing aided by artificial intelligence

Publikationstyp
Review Article
Date Issued
2019-04-25
Sprache
English
Author(s)
Tittl, Andreas  
John-Herpin, Aurelian
Leitis, Aleksandrs
Arvelo, Eduardo R.
Altug, Hatice
TORE-URI
https://hdl.handle.net/11420/62284
Journal
Angewandte Chemie, International Edition  
Volume
58
Issue
42
Start Page
14810
End Page
14822
Citation
Angewandte Chemie, International Edition 58 (42): 14810 - 14822 (2019)
Publisher DOI
10.1002/anie.201901443
Scopus ID
2-s2.0-85070670276
Publisher
Wiley
Molecular spectroscopy provides unique information on the internal structure of biological materials by detecting the characteristic vibrational signatures of their constituent chemical bonds at infrared frequencies. Nanophotonic antennas and metasurfaces have driven this concept towards few-molecule sensitivity by confining incident light into intense hot spots of the electromagnetic fields, providing strongly enhanced light-matter interaction. In this Minireview, recently developed molecular biosensing approaches based on the combination of dielectric metasurfaces and imaging detection are highlighted in comparison to traditional plasmonic geometries, and the unique potential of artificial intelligence techniques for nanophotonic sensor design and data analysis is emphasized. Because of their spectrometer-less operation principle, such imaging-based approaches hold great promise for miniaturized biosensors in practical point-of-care or field-deployable applications.
Subjects
biosensors
deep learning
molecular spectroscopy
nanophotonics
plasmonics
DDC Class
600: Technology
620: Engineering
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