Evidence map›Paper›PMID 31086396›Full record

ArticlePloS one2019

A microfluidic based biosensor for rapid detection of Salmonella in food products.

Jiayu Liu, Ibrahem Jasim, Zhenyu Shen, Lu Zhao, Majed Dweik, Shuping Zhang, Mahmoud Almasri

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
5.3field-weighted citation impact, top 4% of its field
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, 101 citations in OpenAlex.

  1. Review
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  4. Article
  5. Article
  6. Recent Developments in Lateral Flow Assays forPathogens (Basel, Switzerland) · 2023
    Review
  7. Advances in detection methods for viable Salmonella spp.: current applications and challenges.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
    Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Rapid Detection ofSensors (Basel, Switzerland) · 2021
    Article
  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 at 2 institutions in 1 country.

Jiayu LiuUniversity of Missouri-Columbia, Electrical and Computer Engineering, Columbia, MO, United States of America.
Ibrahem JasimUniversity of Missouri-Columbia, Electrical and Computer Engineering, Columbia, MO, United States of America.
Zhenyu ShenUniversity of Missouri-Columbia, School of Veterinary Medicine, Columbia, MO, United States of America.
Lu ZhaoUniversity of Missouri-Columbia, Electrical and Computer Engineering, Columbia, MO, United States of America.
Majed DweikLincoln University, Department of Life and Physical Sciences, Jefferson City, MO, United States of America.
Shuping ZhangUniversity of Missouri-Columbia, School of Veterinary Medicine, Columbia, MO, United States of America.
Mahmoud AlmasriUniversity of Missouri-Columbia, Electrical and Computer Engineering, Columbia, MO, United States of America.
University of Missouri · USLincoln University - Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An impedance based microfluidic biosensor for simultaneous and rapid detection of Salmonella serotypes B and D in ready-to-eat (RTE) Turkey matrix has been presented. Detection of Salmonella at a concentration as low as 300 cells/ml with a total detection time of 1 hour has been achieved. The sensor has two sensing regions, with each formed from one interdigitated electrode array (IDE array) consisting of 50 finger pairs. First, Salmonella antibody type B and D were prepared and delivered to the sensor to functionalize each sensing region without causing any cross contamination. Then the RTE Turkey samples spiked with Salmonella types B and D were introduced into the biosensor via the antigen inlet. The response signal resulted from the binding between Salmonella and its specific antibody demonstrated the sensor's ability to detect a single type of pathogen, and multiple pathogens simultaneously. In addition, the biosensor's selectivity was tested using non-specific binding of E. coli O157 and E. coli DH5 Alpha while the IDE array was coated with the Salmonella antibody. The results also showed the sensor is capable to differentiate low concentration of live Salmonella cells from high concentration of dead Salmonella cells, and high concentration of E. coli cells. A detailed study on antibody immobilization that includes antibody concentration, antibody coating time (0.5-3 hours) and use of cross-linker has been performed. The study showed that Salmonella antibody to Salmonella antigen is not a factor of antibody concentration after electrodes were saturated with antibody, while the optimal coating time was found to be 1.5 hours, and the use of cross-linker has improved the signal response by 45-60%.

Indexed as

Antibodies, ImmobilizedBiosensing TechniquesEquipment DesignFood AnalysisFood ContaminationMicrofluidic Analytical TechniquesSalmonellaTime FactorsAntibodies, Immobilized

Identifiers

PMID31086396
PMCPMC6516674
OpenAlexW2945809189

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.