The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quantum dot enabled detection of Escherichia coli using a cell-phone
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Waterborne Infectious DiseasesCould They Be Consigned to History?
Fenwick, A. (2006) · Science · doi:10.1126/science.1127184 · Cited by 252
Cited by
Inner filter effect in fluorescence spectroscopy: As a problem and as a solution
Kumar Panigrahi, S., & Kumar Mishra, A. (2019) · Journal of Photochemistry and Photobiology C: Photochemistry Reviews · doi:10.1016/j.jphotochemrev.2019.100318 · Cited by 485
Integrated rapid-diagnostic-test reader platform on a cellphone
Mudanyali, O., Dimitrov, S., Sikora, U., Padmanabhan, S., Navruz, I., & Ozcan, A. (2012) · Lab on a Chip · doi:10.1039/c2lc40235a · Cited by 426
Self-citationStuart, M. B., McGonigle, A. J. S., & Willmott, J. R. (2019) · Sensors · doi:10.3390/s19143071 · Cited by 420
Detection and Spatial Mapping of Mercury Contamination in Water Samples Using a Smart-Phone
Wei, Q., Nagi, R., Sadeghi, K., Feng, S., Yan, E., Ki, S. J., Caire, R., Tseng, D., & Ozcan, A. (2014) · ACS Nano · doi:10.1021/nn406571t · Cited by 400
Self-citationApplication of semiconductor quantum dots in bioimaging and biosensing
Martynenko, I. V., Litvin, A. P., Purcell-Milton, F., Baranov, A. V., Fedorov, A. V., & Gun'ko, Y. K. (2017) · Journal of Materials Chemistry B · doi:10.1039/c7tb01425b · Cited by 382
Metadata
- Authors
- Zhu, H., Sikora, U., & Ozcan, A.
- Venue
- The Analyst
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 137
- Issue
- 11
- Pages
- 2541
- ISSN
- 0003-2654 (ISSN-L)
- 1364-5528
- OpenAlex
- W2071916619
- Cited by
- 277
- References
- 1
- FWCI
- 17.27
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantum dot enabled detection of Escherichia coli using a cell-phone. https://app.cochat.ai/papers/10.1039/c2an35071h
- The paper
- Zhu, H., Sikora, U., & Ozcan, A. (2012). Quantum dot enabled detection of Escherichia coli using a cell-phone. The Analyst. https://doi.org/10.1039/c2an35071h
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.