Evidence map›Paper›PMID 26496223›Full record

ArticleBiosensors & bioelectronics2016

Sensitive detection of Escherichia coli O157:H7 using Pt-Au bimetal nanoparticles with peroxidase-like amplification.

Tao Jiang, Yang Song, Tianxiang Wei, He Li, Dan Du, Mei-Jun Zhu, Yuehe Lin

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. A lateral flow assay for miRNA-21 based on CRISPR/Cas13a and MnOAnalytical and bioanalytical chemistry · 2024
    Article
  8. Article
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  10. Article
  11. Article
  12. Review
  13. Article
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  15. Article
  16. Bio-Specific Au/FeBiosensors · 2021
    Article
  17. Review
  18. Review
  19. Review
  20. 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

7 authors.

Tao JiangSchool of Mechanical and Material Engineering, Washington State University, Pullman, WA 99164, United States; Key Laboratory of Animal Virology of Ministry of Agriculture, State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730046, China.
Yang SongSchool of Mechanical and Material Engineering, Washington State University, Pullman, WA 99164, United States.
Tianxiang WeiSchool of Mechanical and Material Engineering, Washington State University, Pullman, WA 99164, United States.
He LiSchool of Mechanical and Material Engineering, Washington State University, Pullman, WA 99164, United States.
Dan DuSchool of Mechanical and Material Engineering, Washington State University, Pullman, WA 99164, United States; Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA 99164, United States.
Mei-Jun ZhuSchool of Food Science, Washington State University, Pullman, WA 99164, United States. Electronic address: meijun.zhu@wsu.edu.
Yuehe LinSchool of Mechanical and Material Engineering, Washington State University, Pullman, WA 99164, United States; Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA 99164, United States. Electronic address: yuehe.lin@wsu.edu.

Funding

Integrated Approach for Environmental Health Monitoring: Exposure Signatures of PesticidesR21OH010768 · OH · WASHINGTON STATE UNIVERSITY · PI DU, DAN · 2015 to 2016
$415k
NIOSH CDC HHS 1R21OH010768-01A1NIOSH CDC HHS R21 OH010768
6 · The paper itself

Abstract

Escherichia coli O157:H7 is one of the most notorious foodborne pathogens causing serious disease at low infectious dose. To protect consumers from deadly foodborne E. coli O157:H7 infection, it is vital to develop a simple, reliable, sensitive and rapid method which can detect low level E. coli O157:H7 in foods at real-time. We have successfully developed a novel immunochromatographic assay (ICA) with enhanced sensitivity for the visual and quantitative detection of E. coli O157:H7. Sandwich-type immunoreactions were performed on the ICA, and Pt-Au bimetal nanoparticles (NPs) were accumulated on the test zone. The signal amplification is based on Pt-Au bimetal NPs possessing high peroxidase activity toward 3,3',5,5'-tetramethylbenzidine, which can produce characteristic colored bands and thus, enable visual detection of E. coli O157:H7 without instrumentation. The innovative aspect of this approach lies in the visualization and quantification of target pathogen through the detection of color intensity. Due to the excellent peroxidase activity of Pt-Au NPs, they emit strong visible color intensity in less than 1 min for visual observation even in low concentration range of E. coli O157:H7. Quantification was performed using a commercial assay meter. The sensitivity was improved more than 1000-folds compared to the conventional test strip based on colored gold-colloids. Although the feasibility was demonstrated using E. coli O157:H7 as a model analyte, this approach could be easily developed to be a universal signal amplification technique and applied to detection of a wide variety of foodborne pathogens and protein biomarkers.

Indexed as

AlloysBacterial LoadBiomimetic MaterialsConductometryEquipment DesignEquipment Failure AnalysisEscherichia coli O157GoldMetal NanoparticlesMicroelectrodesPeroxidasePlatinumReproducibility of ResultsSensitivity and SpecificityAlloysGoldPeroxidasePlatinumE. coli O157:H7Immunochromatographic assayPathogens detectionPeroxidasePt–Au nanoparticles

Identifiers

PMID26496223
PMCPMC13068109

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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.