The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Rapid and Sensitive Detection of Protein Biomarker Using a Portable Fluorescence Biosensor Based on Quantum Dots and a Lateral Flow Test Strip
Abstract
A portable fluorescence biosensor with rapid and ultrasensitive response for protein biomarker has been built up with quantum dots and a lateral flow test strip. The superior signal brightness and high photostability of quantum dots are combined with the promising advantages of a lateral flow test strip and result in high sensitivity and selectivity and speed for protein detection. Nitrated ceruloplasmin, a significant biomarker for cardiovascular disease, lung cancer, and stress response to smoking, was used as model protein biomarker to demonstrate the good performances of this proposed quantum dot-based lateral flow test strip. Quantitative detection of nitrated ceruloplasmin was realized by recording the fluorescence intensity of quantum dots captured on the test line. Under optimal conditions, this portable fluorescence biosensor displays rapid responses for nitrated ceruloplasmin with the concentration as low as 1 ng/mL. Furthermore, the biosensor was successfully utilized for spiked human plasma sample detection in a wide dynamic range with a detection limit of 8 ng/mL (S/N = 3). The results demonstrate that the quantum dot-based lateral flow test strip is capable of rapid, sensitive, and quantitative detection of nitrated ceruloplasmin and hold a great promise for point-of-care and in field analysis of other protein biomarkers.
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
Global Analysis of Protein Activities Using Proteome Chips
Zhu, H., Bilgin, M., Bangham, R., Hall, D., Casamayor, A., Bertone, P., Lan, N., Jansen, R., Bidlingmaier, S., Houfek, T., et al. (2001) · Science · doi:10.1126/science.1062191 · Cited by 1,884
Ceruloplasmin is a NO oxidase and nitrite synthase that determines endocrine NO homeostasis
Shiva, S., Wang, X., Ringwood, L. A., Xu, X., Yuditskaya, S., Annavajjhala, V., Miyajima, H., Hogg, N., Harris, Z. L., & Gladwin, M. T. (2006) · Nature Chemical Biology · doi:10.1038/nchembio813 · Cited by 359
Cited by
Huang, X., Aguilar, Z. P., Xu, H., Lai, W., & Xiong, Y. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.08.032 · Cited by 499
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
Zangheri, M., Cevenini, L., Anfossi, L., Baggiani, C., Simoni, P., Di Nardo, F., & Roda, A. (2015) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2014.08.048 · Cited by 373
Stress Biomarkers in Biological Fluids and Their Point-of-Use Detection
Steckl, A. J., & Ray, P. (2018) · ACS Sensors · doi:10.1021/acssensors.8b00726 · Cited by 319
The application of nanoparticles in point-of-care testing (POCT) immunoassays
Hou, F., Sun, S., Abdullah, S. W., Tang, Y., Li, X., & Guo, H. (2023) · Analytical Methods · doi:10.1039/d3ay00182b · Cited by 61
Metadata
- Authors
- Li, Z., Wang, Y., Wang, J., Tang, Z., Pounds, J. G., & Lin, Y.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-07-19
- Volume
- 82
- Issue
- 16
- Pages
- 7008-7014
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2030785436
- Cited by
- 424
- References
- 2
- FWCI
- 11.47
- 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: Rapid and Sensitive Detection of Protein Biomarker Using a Portable Fluorescence Biosensor Based on Quantum Dots and a Lateral Flow Test Strip. https://app.cochat.ai/papers/10.1021/ac101405a
- The paper
- Li, Z., Wang, Y., Wang, J., Tang, Z., Pounds, J. G., & Lin, Y. (2010). Rapid and Sensitive Detection of Protein Biomarker Using a Portable Fluorescence Biosensor Based on Quantum Dots and a Lateral Flow Test Strip. Analytical Chemistry. https://doi.org/10.1021/ac101405a
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.