Evidence map›Paper›PMID 36950230›Full record

ArticleBiomedical optics express2023

Asymmetric parameter enhancement in the split-ring cavity array for virus-like particle sensing.

Xiao Jin, Lu Xue, Shengwei Ye, Weiqing Cheng, Jamie Jiangmin Hou, Lianping Hou, John H Marsh, Ming Sun, Xuefeng Liu, Jichuan Xiong and 1 more

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Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xiao JinSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Lu XueSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Shengwei YeJames Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.
Weiqing ChengJames Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.
Jamie Jiangmin HouDepartment of Medicine, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK.ORCID https://orcid.org/0000-0001-5836-1827
Lianping HouJames Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0001-8405-8389
John H MarshJames Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0002-2851-413X
Ming SunSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Xuefeng LiuSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Jichuan XiongSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID https://orcid.org/0000-0002-7051-802X
Bin NiSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID https://orcid.org/0000-0002-1684-6372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative detection of virus-like particles under a low concentration is of vital importance for early infection diagnosis and water pollution analysis. In this paper, a novel virus detection method is proposed using indirect polarization parametric imaging method combined with a plasmonic split-ring nanocavity array coated with an Au film and a quantitative algorithm is implemented based on the extended Laplace operator. The attachment of viruses to the split-ring cavity breaks the structural symmetry, and such asymmetry can be enhanced by depositing a thin gold film on the sample, which allows an asymmetrical plasmon mode with a large shift of resonance peak generated under transverse polarization. Correspondingly, the far-field scattering state distribution encoded by the attached virus exhibits a specific asymmetric pattern that is highly correlated to the structural feature of the virus. By utilizing the parametric image sinδ to collect information on the spatial photon state distribution and far-field asymmetry with a sub-wavelength resolution, the appearance of viruses can be detected. To further reduce the background noise and enhance the asymmetric signals, an extended Laplace operator method which divides the detection area into topological units and then calculates the asymmetric parameter is applied, enabling easier determination of virus appearance. Experimental results show that the developed method can provide a detection limit as low as 56 vp/150µL on a large scale, which has great potential in early virus screening and other applications.

Identifiers

PMID36950230
PMCPMC10026587

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