期刊
IEEE PHOTONICS JOURNAL
卷 13, 期 3, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPHOT.2021.3074386
关键词
Viruses (medical); Scattering; Nanobioscience; Nanoparticles; Gold; Sensitivity; Refractive index; Polarization state; gold nanoparticles; virus; signal amplification
资金
- National Major Scientific Instruments and Equipment Development Project [61827814]
- Beijing Natural Science Foundation [Z190018]
- Fundamental Research Funds for the Central Universities [30920010011]
- Postdoctoral Foundation of Jiangsu Province [2020Z331]
- Ministry of Education collaborative project
- UK Engineering and Physical Sciences Research Council [EP/R042578/1]
- EPSRC [EP/R042578/1] Funding Source: UKRI
The research shows that introducing antibody-conjugated gold nanoparticles on the surface of virus particles can amplify photon scattering signal, increasing the sensitivity of virus detection. This method achieves 5.4 times higher sensitivity in detecting virus-gold particle doublets compared to conventional microscope imaging.
The polarization states of scattered photons can be used to map or image the anisotropic features of a nanostructure. However, the scattering strength depends heavily on the refractivity contrast in the near field under measurement, which limits the imaging sensitivity for viral particles which have little refractivity contrast with their nano-ambientes. In this paper, we show the photon scattering signal strength can be magnified by introducing a more abrupt change of refractivity at the virus particle using antibody-conjugated gold nanoparticles (AuNPs), allowing the presence of such viruses to be detected. Using two different deep learning methods to minimize scattering noise, the photon states scattering signal of a AuNPs ligated virus is enhanced significantly compared to that of a bare virus particle. This is confirmed by Finite Difference Time Domain (FDTD) numerical simulations. The sensitivity of the polarization state scattering spectra from a virus-gold particle doublet is 5.4 times higher than that of a conventional microscope image.
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