The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
SERS-based sandwich immunoassay using antibody coated magnetic nanoparticles for Escherichia coli enumeration
Abstract
A method combining immunomagnetic separation (IMS) and surface-enhanced Raman scattering (SERS) was developed to enumerate Escherichia coli (E. coli). Gold-coated magnetic spherical nanoparticles were prepared by immobilizing biotin-labeled anti-E. coli antibodies onto avidin-coated magnetic nanoparticles and used in the separation and concentration of the E. coli cells. Raman labels have been constructed using rod shaped gold nanoparticles coated with 5,5-dithiobis-(2-nitrobenzoic acid) (DTNB) and subsequently with a molecular recognizer. Then DTNB-labeled gold nanorods were interacted with gold-coated magnetic spherical nanoparticle-antibody-E. coli complex. The capture efficiency and calibration graphs were obtained and examined in different E. coli concentrations (10(1)-10(7) cfu mL(-1)). The correlation between the concentration of bacteria and SERS signal was found to be linear within the range of 10(1)-10(4) cfu mL(-1) (R(2) = 0.992). The limit of detection (LOD) and limit of quantification (LOQ) values of the developed method were found to be 8 and 24 cfu mL(-1), respectively. The selectivity of the developed immunoassay was examined with Enterobacter aerogenes, Enterobacter dissolvens, and Salmonella enteriditis which did not produce any significant response. The ability of the immunoassay to detect E. coli in real water samples was also investigated and the results were compared with the experimental results from plate-counting methods. There was no significant difference between the methods that were compared (p > 0.05). This method is rapid and sensitive to target organisms with a total analysis time of less than 70 min.
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
Surface-Enhanced Raman Spectroscopy
Haynes, C. L., McFarland, A. D., & Van Duyne, R. P. (2005) · Analytical Chemistry · doi:10.1021/ac053456d · Cited by 1,144
Cited by
Recent Developments in Magnetic Diagnostic Systems
Lee, H., Shin, T.-H., Cheon, J., & Weissleder, R. (2015) · Chemical Reviews · doi:10.1021/cr500698d · Cited by 292
Plasmonic colorimetric and SERS sensors for environmental analysis
Wei, H., Hossein Abtahi, S. M., & Vikesland, P. J. (2015) · Environmental Science: Nano · doi:10.1039/c4en00211c · Cited by 285
Metadata
- Authors
- Guven, B., Basaran-Akgul, N., Temur, E., Tamer, U., & Boyacı, İ. H.
- Venue
- The Analyst
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 136
- Issue
- 4
- Pages
- 740-748
- ISSN
- 0003-2654 (ISSN-L)
- 1364-5528
- OpenAlex
- W2015681141
- Cited by
- 212
- References
- 1
- FWCI
- 5.91
- 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: SERS-based sandwich immunoassay using antibody coated magnetic nanoparticles for Escherichia coli enumeration. https://app.cochat.ai/papers/10.1039/c0an00473a
- The paper
- Guven, B., Basaran-Akgul, N., Temur, E., Tamer, U., & Boyacı, İ. H. (2011). SERS-based sandwich immunoassay using antibody coated magnetic nanoparticles for Escherichia coli enumeration. The Analyst. https://doi.org/10.1039/c0an00473a
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.