The DOI matches its Crossref record.
Immunochromatographic Assay for Ultrasensitive Detection of Aflatoxin B1 in Maize by Highly Luminescent Quantum Dot Beads
Open accessAbstract
Highly luminescent quantum dot beads (QBs) were synthesized by encapsulating CdSe/ZnS and used for the first time as immunochromatographic assay (ICA) signal amplification probe for ultrasensitive detection of aflatoxin B1 (AFB1) in maize. The challenges to using high brightness QBs as probes for ICA are smooth flow of QBs and nonspecific binding on nitrocellulose (NC) membrane, which are overcome by unique polymer encapsulation of quantum dots (QDs) and surface blocking method. Under optimal conditions, the QB-based ICA (QB-ICA) sensor exhibited dynamic linear detection of AFB1 in maize extract from 5 to 60 pg mL(-1), with a median inhibitory concentration (IC50) of 13.87 ± 0.16 pg mL(-1), that is significantly (39-fold) lower than those of the QD as a signal probe (IC50 = 0.54 ± 0.06 ng mL(-1)). The limit of detection (LOD) for AFB1 using QB-ICA sensor was 0.42 pg mL(-1) in maize extract, which is approximately 2 orders of magnitude better than those of previously reported gold nanoparticle based immunochromatographic assay (AuNP-ICA) and is even comparable with or better than the conventional enzyme-linked immunosorbent assay (ELISA) method. The performance and practicability of our QB-ICA sensor were validated with a commercial ELISA kit and further confirmed with liquid chromatography tandem mass spectrometry (LC-MS/MS). Given its efficient signal amplification performance, the proposed QB-ICA offers great potential for rapid, sensitive, and cost-effective quantitative detection of analytes in food safety monitoring.
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
New Generation Cadmium-Free Quantum Dots for Biophotonics and Nanomedicine
Xu, G., Zeng, S., Zhang, B., Swihart, M. T., Yong, K.-T., & Prasad, P. N. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00290 · Cited by 587
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
Self-citationThe 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
- Ren, M., Xu, H., Huang, X., Kuang, M., Xiong, Y., Xu, H., Xu, Y., Chen, H., & Wang, A.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-08-18
- Volume
- 6
- Issue
- 16
- Pages
- 14215-14222
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2325529183
- Cited by
- 255
- References
- 0
- FWCI
- 11.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.