Evidence map›Paper›PMID 27959817›Full record

ArticleIEEE transactions on nanobioscience2016

Chemical and Biological Sensing Using Diatom Photonic Crystal Biosilica With In-Situ Growth Plasmonic Nanoparticles.

Xianming Kong, Kenny Squire, Erwen Li, Paul LeDuff, Gregory L Rorrer, Suning Tang, Bin Chen, Christopher P McKay, Rafael Navarro-Gonzalez, Alan X Wang

Abstract read
In one paragraph

Article in IEEE transactions on nanobioscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Research progress on the biomedical application of microalgae.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2021
    Review
  9. Article
  10. Article
  11. Recent Advances on Diatom-Based Biosensors.Sensors (Basel, Switzerland) · 2019
    Review
  12. Article
  13. Article
  14. Article
  15. 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

10 authors.

Xianming Kong
Kenny Squire
Erwen Li
Paul LeDuff
Gregory L Rorrer
Suning Tang
Bin Chen
Christopher P McKay
Rafael Navarro-Gonzalez
Alan X Wang

Funding

Resonant-Photonic-Device-Enhanced SERS Substrate with Pinpointed Plasmonic-ActiveR42ES024023 · NIEHS · OMEGA OPTICS, INC. · PI CHAKRAVARTY, SWAPNAJIT, FAN, DONGLEI EMMA · 2013 to 2014
$997k
Dual-Mode Plasmonic Biosensors using Bioenabled NanomaterialsR03EB018893 · NIBIB · OREGON STATE UNIVERSITY · PI WANG, ALAN X · 2015 to 2016
$147k
NIBIB NIH HHS R03 EB018893NIEHS NIH HHS R42 ES024023
6 · The paper itself

Abstract

In this paper, we described a new type of bioenabled nano-plasmonic sensors based on diatom photonic crystal biosilica with in-situ growth silver nanoparticles and demonstrated label-free chemical and biological sensing based on surface-enhanced Raman scattering (SERs) from complex samples. Diatoms are photosynthetic marine micro-organisms that create their own skeletal shells of hydrated amorphous silica, called frustules, which possess photonic crystal-like hierarchical micro- & nanoscale periodic pores. Our research shows that such hybrid plasmonic-biosilica nanostructures formed by cost-effective and eco-friendly bottom-up processes can achieve ultra-high limit of detection for medical applications, food sensing, water/air quality monitoring and geological/space research. The enhanced sensitivity comes from the optical coupling of the guided-mode resonance of the diatom frustules and the localized surface plasmons of the silver nanoparticles. Additionally, the nanoporous, ultra-hydrophilic diatom biosilica with large surface-to-volume ratio can concentrate more analyte molecules to the surface of the SERS substrates, which can help to detect biomolecules that cannot be easily adsorbed by metallic nanoparticles.

Indexed as

Biosensing TechniquesDiatomsPhotonsSilicon DioxideSpectrum Analysis, RamanSilicon Dioxide

Identifiers

PMID27959817
PMCPMC5380234

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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.