The DOI matches its Crossref record.
High-sensitivity bacterial detection using biotin-tagged phage and quantum-dot nanocomplexes
Abstract
With current concerns of antibiotic-resistant bacteria and biodefense, it has become important to rapidly identify infectious bacteria. Traditional technologies involving isolation and amplification of the pathogenic bacteria are time-consuming. We report a rapid and simple method that combines in vivo biotinylation of engineered host-specific bacteriophage and conjugation of the phage to streptavidin-coated quantum dots. The method provides specific detection of as few as 10 bacterial cells per milliliter in experimental samples, with an ≈100-fold amplification of the signal over background in 1 h. We believe that the method can be applied to any bacteria susceptible to specific phages and would be particularly useful for detection of bacterial strains that are slow growing, e.g., Mycobacterium , or are highly infectious, e.g., Bacillus anthracis . The potential for simultaneous detection of different bacterial species in a single sample and applications in the study of phage biology are discussed.
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
Cited by
Quantum Dots in Biological and Biomedical Research: Recent Progress and Present Challenges
Klostranec, J. M., & Chan, W. C. W. (2006) · Advanced Materials · doi:10.1002/adma.200500786 · Cited by 630
Carbon Dot-Based Platform for Simultaneous Bacterial Distinguishment and Antibacterial Applications
Yang, J., Zhang, X., Ma, Y.-H., Gao, G., Chen, X., Jia, H.-R., Li, Y.-H., Chen, Z., & Wu, F.-G. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b10398 · Cited by 409
Integrating recognition elements with nanomaterials for bacteria sensing
Chen, J., Andler, S. M., Goddard, J. M., Nugen, S. R., & Rotello, V. M. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00313c · Cited by 369
Nanoparticle approaches against bacterial infections
Gao, W., Thamphiwatana, S., Angsantikul, P., & Zhang, L. (2014) · WIREs Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1282 · Cited by 347
Nanobioimaging and sensing of infectious diseases
Tallury, P., Malhotra, A., Byrne, L. M., & Santra, S. (2010) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2009.11.014 · Cited by 301
Metadata
- Authors
- Edgar, R., McKinstry, M., Hwang, J., Oppenheim, A. B., Fekete, R. A., Giulian, G., Merril, C., Nagashima, K., & Adhya, S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-03-20
- Volume
- 103
- Issue
- 13
- Pages
- 4841-4845
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2055585753
- Cited by
- 338
- References
- 0
- FWCI
- 18.99
- Type
- journal article
- Language
- en
- Open access
- closed
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: High-sensitivity bacterial detection using biotin-tagged phage and quantum-dot nanocomplexes. https://app.cochat.ai/papers/10.1073/pnas.0601211103
- The paper
- Edgar, R., McKinstry, M., Hwang, J., Oppenheim, A. B., Fekete, R. A., Giulian, G., Merril, C., Nagashima, K., & Adhya, S. (2006). High-sensitivity bacterial detection using biotin-tagged phage and quantum-dot nanocomplexes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0601211103
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.