Evidence map›Paper›PMID 30275947›Full record

ArticleLight, science & applications2018

Optical conductivity-based ultrasensitive mid-infrared biosensing on a hybrid metasurface.

Yibo Zhu, Zhaoyi Li, Zhuang Hao, Christopher DiMarco, Panita Maturavongsadit, Yufeng Hao, Ming Lu, Aaron Stein, Qian Wang, James Hone and 2 more

Abstract read
In one paragraph

Article in Light, science & applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Flatland Metasurfaces for Optical Gas Sensing.Sensors (Basel, Switzerland) · 2026
    Review
  2. Review
  3. Review
  4. Enhanced Spectral Tunability by Sub-10 nm Nanogaps in Graphene-Metal Hybrid Metasurfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Quantum vibropolaritonic sensing.Science advances · 2025
    Article
  6. Article
  7. Review
  8. Metasurface-enhanced biomedical spectroscopy.Nanophotonics (Berlin, Germany) · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Complex-frequency waves: beat loss and win sensitivity.Light, science & applications · 2024
    Article
  15. Article
  16. Review
  17. Review
  18. Calibration-free, high-precision, and robust terahertz ultrafast metasurfaces for monitoring gastric cancers.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  20. Article
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

12 authors.

Yibo Zhu *1Department of Mechanical Engineering, Columbia University, New York, NY 10027 USA.
Zhaoyi Li *2Department of Applied Physics and Applied Math, Columbia University, New York, NY 10027 USA.
Zhuang Hao1Department of Mechanical Engineering, Columbia University, New York, NY 10027 USA.
Christopher DiMarco1Department of Mechanical Engineering, Columbia University, New York, NY 10027 USA.
Panita Maturavongsadit3Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208 USA.
Yufeng Hao4National Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093 China.
Ming Lu5Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY 11973 USA.ORCID 0000-0003-0175-6531
Aaron Stein5Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY 11973 USA.
Qian Wang3Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208 USA.
James Hone1Department of Mechanical Engineering, Columbia University, New York, NY 10027 USA.
Nanfang Yu2Department of Applied Physics and Applied Math, Columbia University, New York, NY 10027 USA.
Qiao Lin1Department of Mechanical Engineering, Columbia University, New York, NY 10027 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical devices are highly attractive for biosensing as they can not only enable quantitative measurements of analytes but also provide information on molecular structures. Unfortunately, typical refractive index-based optical sensors do not have sufficient sensitivity to probe the binding of low-molecular-weight analytes. Non-optical devices such as field-effect transistors can be more sensitive but do not offer some of the significant features of optical devices, particularly molecular fingerprinting. We present optical conductivity-based mid-infrared (mid-IR) biosensors that allow for sensitive and quantitative measurements of low-molecular-weight analytes as well as the enhancement of spectral fingerprints. The sensors employ a hybrid metasurface consisting of monolayer graphene and metallic nano-antennas and combine individual advantages of plasmonic, electronic and spectroscopic approaches. First, the hybrid metasurface sensors can optically detect target molecule-induced carrier doping to graphene, allowing highly sensitive detection of low-molecular-weight analytes despite their small sizes. Second, the resonance shifts caused by changes in graphene optical conductivity is a well-defined function of graphene carrier density, thereby allowing for quantification of the binding of molecules. Third, the sensor performance is highly stable and consistent thanks to its insensitivity to graphene carrier mobility degradation. Finally, the sensors can also act as substrates for surface-enhanced infrared spectroscopy. We demonstrated the measurement of monolayers of sub-nanometer-sized molecules or particles and affinity binding-based quantitative detection of glucose down to 200 pM (36 pg/mL). We also demonstrated enhanced fingerprinting of minute quantities of glucose and polymer molecules.

Identifiers

PMID30275947
PMCPMC6156330

What OpenQuestion holds

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Registered trials

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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.