Evidence map›Paper›PMID 29139285›Full record

ArticleACS sensors2017

Subradiant Dipolar Interactions in Plasmonic Nanoring Resonator Array for Integrated Label-Free Biosensing.

Yuzhang Liang, Hui Zhang, Wenqi Zhu, Amit Agrawal, Henri Lezec, Lixia Li, Wei Peng, Yi Zou, Yanqing Lu, Ting Xu

Abstract read
In one paragraph

Article in ACS sensors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Plasmonics for Biosensing.Materials (Basel, Switzerland) · 2019
    Review
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

10 authors.

Yuzhang LiangNational Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Collaborative Innovation Center of Advanced Microstructures, Nanjing University , Nanjing 210093, China.
Hui ZhangNational Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Collaborative Innovation Center of Advanced Microstructures, Nanjing University , Nanjing 210093, China.
Wenqi ZhuCenter for Nanoscale Science and Technology, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Amit AgrawalCenter for Nanoscale Science and Technology, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Henri LezecCenter for Nanoscale Science and Technology, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Lixia LiCollege of Physics and Optoelectronics Engineering, Dalian University of Technology , Dalian 116024, China.
Wei PengCollege of Physics and Optoelectronics Engineering, Dalian University of Technology , Dalian 116024, China.
Yi ZouNational Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Collaborative Innovation Center of Advanced Microstructures, Nanjing University , Nanjing 210093, China.
Yanqing LuNational Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Collaborative Innovation Center of Advanced Microstructures, Nanjing University , Nanjing 210093, China.
Ting XuNational Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Collaborative Innovation Center of Advanced Microstructures, Nanjing University , Nanjing 210093, China.ORCID 0000-0002-0704-1089

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

With the development of advanced nanofabrication technologies over the past decade, plasmonic nanostructures have attracted wide attention for their potential in label-free biosensing applications. However, the sensing performance of nanostructured plasmonic sensors is primarily limited by the broad-line-width features with low peak-to-dip signal ratio in the extinction spectra that result from strong radiative damping. Here, we propose and systematically investigate the in-plane and out-of-plane dipolar interactions in an array of plasmonic nanoring resonators that are from the spatial combination of classic nanohole and nanodisk structures. Originating from the strong coupling of the dipolar modes from parent nanohole and nanodisk structures, the subradiant lattice plasmon resonance in the nanoring resonator array exhibits narrow-line width spectral features with high peak-to-dip signal ratio and strong near-field electromagnetic enhancement, making it an ideal platform for high-sensitivity chemical and biomedical sensing. We experimentally demonstrate that the plasmonic nanoring resonator array can be used for high-sensitivity refractive index sensing and real-time monitoring of biomolecular specific binding interactions at nanomolar concentration. Moreover, due to its simple normal incident illumination scheme and polarization independent optical response, we further transfer the plasmonic nanoring resonator array onto the optical fiber tip to demonstrate an integrated and miniaturized platform for label-free remote biosensing, which implies that the plasmonic nanoring resonator array may be a potential candidate for developing high performance and highly integrated photonic biosensing systems.

Indexed as

Biosensing TechniquesConcanavalin ALightLimit of DetectionNanostructuresProtein BindingRefractometryRibonucleasesSodium ChlorideConcanavalin Aribonuclease BRibonucleasesSodium Chloridebiosensingdipolar interactionfiber opticsplasmonic nanostructurepoint of care diagnosticsprotein binding

Identifiers

PMID29139285
PMCPMC5834653

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.