Evidence map›Paper›PMID 21625344›Full record

ArticleJournal of materials chemistry2011

Bio-imaging, detection and analysis by using nanostructures as SERS substrates.

Wei Xie, Penghe Qiu, Chuanbin Mao

Abstract read
In one paragraph

Article in Journal of materials chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Self-Cleaning Ag-TiOACS omega · 2025
    Article
  3. Article
  4. Preparation of SiONanomaterials (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Review
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  11. Review
  12. Article
  13. Article
  14. Article
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  16. Article
  17. Article
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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

3 authors.

Wei XieDepartment of Chemistry and Biochemistry, Stephenson Life Sciences Research Center, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA.
Penghe Qiu
Chuanbin Mao

Funding

Phage-inspired nanoparticles with genetically tunable target-specificityR01HL092526 · NHLBI · UNIVERSITY OF OKLAHOMA · PI MAO, CHUANBIN · 2009 to 2010
$806k
Phage-Mimetic Nanorods for Targeted Breast Cancer TreatmentR21EB009909 · NIBIB · UNIVERSITY OF OKLAHOMA · PI MAO, CHUANBIN · 2009 to 2010
$399k
Bone-seeking and cell-targeting non-viral vectors for BMP-2 gene deliveryR03AR056848 · NIAMS · UNIVERSITY OF OKLAHOMA · PI MAO, CHUANBIN · 2009 to 2011
$222k
NHLBI NIH HHS R01 HL092526NIAMS NIH HHS R03 AR056848NIBIB NIH HHS R21 EB009909
6 · The paper itself

Abstract

Surface-enhanced Raman scattering (SERS) is a phenomenon that occurs on nanoscale-roughed metallic surface. The magnitude of the Raman scattering signal can be greatly enhanced when the scatterer is placed in the very close vicinity of the surface, which enables this phenomenon to be a highly sensitive analytical technique. SERS inherits the general strongpoint of conventional Raman spectroscopy and overcomes the inherently small cross section problem of a Raman scattering. It is a sensitive and nondestructive spectroscopic method for biological samples, and can be exploited either for the delivery of molecular structural information or for the detection of trace levels of analytes. Therefore, SERS has long been regarded as a powerful tool in biomedical research. Metallic nanostructure plays a key role in all the biomedical applications of SERS because the enhanced Raman signal can only be obtained on the surface of a finely divided substrate. This review focuses on progress made in the use of SERS as an analytical technique in bio-imaging, analysis and detection. Recent progress in the fabrication of SERS active nanostructures is also highlighted.

Identifiers

PMID21625344
PMCPMC3103122

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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.