Evidence map›Paper›PMID 22396952›Full record

ArticleThe Analyst2012

Quantum dot enabled detection of Escherichia coli using a cell-phone.

Hongying Zhu, Uzair Sikora, Aydogan Ozcan

Abstract read
In one paragraph

Article in The Analyst, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Smartphone-based intraocular lens microscope.Indian journal of ophthalmology · 2020
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Sensing with photoluminescent semiconductor quantum dots.Methods and applications in fluorescence · 2019
    Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Microfluidic Based Optical Microscopes on Chip.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Review
  20. Article

2 more citing papers are in PubMed but not listed here.

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.

Hongying ZhuElectrical Engineering Department, University of California, Los Angeles, 90095, USA.
Uzair Sikora
Aydogan Ozcan

Funding

Towards Mega-Throughput, Label-free Genomics and Proteomics: Revolutionizing MicrDP2OD006427 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OZCAN, AYDOGAN · 2009 to 2009
$2.3M
NIH HHS DP2 OD006427
6 · The paper itself

Abstract

We report a cell-phone based Escherichia coli (E. coli) detection platform for screening of liquid samples. In this compact and cost-effective design attached to a cell-phone, we utilize anti-E. coli O157:H7 antibody functionalized glass capillaries as solid substrates to perform a quantum dot based sandwich assay for specific detection of E. coli O157:H7 in liquid samples. Using battery-powered inexpensive light-emitting-diodes (LEDs) we excite/pump these labelled E. coli particles captured on the capillary surface, where the emission from the quantum dots is then imaged using the cell-phone camera unit through an additional lens that is inserted between the capillary and the cell-phone. By quantifying the fluorescent light emission from each capillary tube, the concentration of E. coli in the sample is determined. We experimentally confirmed the detection limit of this cell-phone based fluorescent imaging and sensing platform as ∼5 to 10 cfu mL(-1) in buffer solution. We also tested the specificity of this E. coli detection platform by spiking samples with different species (e.g., Salmonella) to confirm that non-specific binding/detection is negligible. We further demonstrated the proof-of-concept of our approach in a complex food matrix, e.g., fat-free milk, where a similar detection limit of ∼5 to 10 cfu mL(-1) was achieved despite challenges associated with the density of proteins that exist in milk. Our results reveal the promising potential of this cell-phone enabled field-portable and cost-effective E. coli detection platform for e.g., screening of water and food samples even in resource limited environments. The presented platform can also be applicable to other pathogens of interest through the use of different antibodies.

Indexed as

Cell PhoneImmunoassayQuantum DotsAnimalsAntibodiesCattleEscherichia coli O157Fluorescent DyesFood MicrobiologyMilkWater MicrobiologyAntibodiesFluorescent Dyes

Identifiers

PMID22396952
PMCPMC3683133

What OpenQuestion holds

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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.