Evidence map›Paper›PMID 27737552›Full record

ArticleACS infectious diseases2016

Multiparametric Magneto-fluorescent Nanosensors for the Ultrasensitive Detection of Escherichia coli O157:H7.

Tuhina Banerjee, Shoukath Sulthana, Tyler Shelby, Blaze Heckert, Jessica Jewell, Kalee Woody, Vida Karimnia, James McAfee, Santimukul Santra

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Nanotechnology for Targeted Detection and Removal of Bacteria: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Nanosensors for water quality monitoring.Nature nanotechnology · 2018
    Review
  15. Electrochemical Detection ofSensors (Basel, Switzerland) · 2018
    Article
  16. Article
  17. 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

9 authors.

Tuhina BanerjeeDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.
Shoukath SulthanaDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.
Tyler ShelbyDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.
Blaze HeckertDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.
Jessica JewellDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.
Kalee WoodyDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.
Vida KarimniaDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.
James McAfeeDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.
Santimukul SantraDepartment of Chemistry, Kansas Polymer Research Center, Pittsburg State University , 1701 South Broadway Street, Pittsburg, Kansas 66762, United States.

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SUSAN J. BROWN · 2012 to 2026
$63.0M
NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

Enterohemorrhagic Escherichia coli O157:H7 presents a serious threat to human health and sanitation and is a leading cause in many food- and waterborne ailments. While conventional bacterial detection methods such as PCR, fluorescent immunoassays and ELISA exhibit high sensitivity and specificity, they are relatively laborious and require sophisticated instruments. In addition, these methods often demand extensive sample preparation and have lengthy readout times. We propose a simpler and more sensitive diagnostic technique featuring multiparametric magneto-fluorescent nanosensors (MFnS). Through a combination of magnetic relaxation and fluorescence measurements, our nanosensors are able to detect bacterial contamination with concentrations as little as 1 colony-forming unit (CFU). The magnetic relaxation property of our MFnS allow for sensitive screening at low target CFU, which is complemented by fluorescence measurements of higher CFU samples. Together, these qualities allow for the detection and quantification of broad-spectrum contaminations in samples ranging from aquatic reservoirs to commercially produced food.

Indexed as

AnimalsCattleColony Count, MicrobialEscherichia coli O157FluorescenceLakesMagnetite NanoparticlesMilkNanotechnologySensitivity and SpecificityMagnetite Nanoparticlesbacterial contaminationE. coli O157:H7fluorescence emissionmagnetic relaxationmagneto-fluorescent nanosensorrapid detection of pathogen

Identifiers

PMID27737552
PMCPMC6736527

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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.