Evidence map›Paper›PMID 25136836›Full record

ArticlePloS one2014

Light scattering sensor for direct identification of colonies of Escherichia coli serogroups O26, O45, O103, O111, O121, O145 and O157.

Yanjie Tang, Huisung Kim, Atul K Singh, Amornrat Aroonnual, Euiwon Bae, Bartek Rajwa, Pina M Fratamico, Arun K Bhunia

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Determination of the Infection Dynamics ofFoods (Basel, Switzerland) · 2025
    Article
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  7. Petri-plate, bacteria, and laser optical scattering sensor.Frontiers in cellular and infection microbiology · 2022
    Review
  8. Identification of colonies of cultured shellfish-associatedCurrent research in microbial sciences · 2021
    Article
  9. Article
  10. Article
  11. Captive Green Iguana Carries DiarrheagenicFrontiers in veterinary science · 2020
    Article
  12. Article
  13. Article
  14. Colony Fingerprint-Based Discrimination ofSensors (Basel, Switzerland) · 2018
    Article
  15. Article
  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

8 authors.

Yanjie TangMolecular Food Microbiology Laboratory, Department of Food Science, Purdue University, West Lafayette, Indiana, United States of America.
Huisung KimSchool of Mechanical Engineering, Purdue University, West Lafayette, Indiana, United States of America.
Atul K SinghMolecular Food Microbiology Laboratory, Department of Food Science, Purdue University, West Lafayette, Indiana, United States of America.
Amornrat AroonnualMolecular Food Microbiology Laboratory, Department of Food Science, Purdue University, West Lafayette, Indiana, United States of America.
Euiwon BaeSchool of Mechanical Engineering, Purdue University, West Lafayette, Indiana, United States of America.
Bartek RajwaBindley Bioscience Center, Purdue University, West Lafayette, Indiana, United States of America.
Pina M FratamicoUSDA-ARS, Eastern Regional Research Center, Wyndmoor, Pennsylvania, United States of America.
Arun K BhuniaMolecular Food Microbiology Laboratory, Department of Food Science, Purdue University, West Lafayette, Indiana, United States of America; Department of Comparative Pathobiology, Purdue University, West Lafayette, Indiana, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShiga-toxin producing Escherichia coli (STEC) have emerged as important foodborne pathogens, among which seven serogroups (O26, O45, O103, O111, O121, O145, O157) are most frequently implicated in human infection. The aim was to determine if a light scattering sensor can be used to rapidly identify the colonies of STEC serogroups on selective agar plates. METHODOLOGY/PRINCIPAL

findingsInitially, a total of 37 STEC strains representing seven serovars were grown on four different selective agar media, including sorbitol MacConkey (SMAC), Rainbow Agar O157, BBL CHROMagarO157, and R&F E. coli O157:H7, as well as nonselective Brain Heart Infusion agar. The colonies were scanned by an automated light scattering sensor, known as BARDOT (BActerial Rapid Detection using Optical scattering Technology), to acquire scatter patterns of STEC serogroups, and the scatter patterns were analyzed using an image classifier. Among all of the selective media tested, both SMAC and Rainbow provided the best differentiation results allowing multi-class classification of all serovars with an average accuracy of more than 90% after 10-12 h of growth, even though the colony appearance was indistinguishable at that early stage of growth. SMAC was chosen for exhaustive scatter image library development, and 36 additional strains of O157:H7 and 11 non-O157 serovars were examined, with each serogroup producing unique differential scatter patterns. Colony scatter images were also tested with samples derived from pure and mixed cultures, as well as experimentally inoculated food samples. BARDOT accurately detected O157 and O26 serovars from a mixed culture and also from inoculated lettuce and ground beef (10-h broth enrichment +12-h on-plate incubation) in the presence of natural background microbiota in less than 24 h.

conclusionsBARDOT could potentially be used as a screening tool during isolation of the most important STEC serovars on selective agar plates from food samples in less than 24 h.

Indexed as

Bacterial Typing TechniquesEscherichia coli O157Genes, BacterialLightScattering, RadiationSerogroup

Identifiers

PMID25136836
PMCPMC4138183

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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.