The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bio‐Inspired Photonic‐Crystal Microchip for Fluorescent Ultratrace Detection
Abstract
Ultratrace detection attracts great interest because it is still a challenge to the early diagnosis and drug testing. Enriching the targets from highly diluted solutions to the sensitive area is a promising method. Inspired by the fog‐collecting structure on Stenocara beetle’s back, a photonic‐crystal (PC) microchip with hydrophilic–hydrophobic micropattern was fabricated by inkjet printing. This device was used to realize high‐sensitive ultratrace detection of fluorescence analytes and fluorophore‐based assays. Coupled with the fluorescence enhancement effect of a PC, detection down to 10−16 mol L−1 was achieved. This design can be combined with biophotonic devices for the detection of drugs, diseases, and pollutions of the ecosystem.
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
Multifunctional Magnetic Nanoparticles: Design, Synthesis, and Biomedical Applications
Gao, J., Gu, H., & Xu, B. (2009) · Accounts of Chemical Research · doi:10.1021/ar9000026 · Cited by 1,907
Cited by
Bioinspired living structural color hydrogels
Fu, F., Shang, L., Chen, Z., Yu, Y., & Zhao, Y. (2018) · Science Robotics · doi:10.1126/scirobotics.aar8580 · Cited by 587
Recent advances in the potential applications of bioinspired superhydrophobic materials
Darmanin, T., & Guittard, F. (2014) · J. Mater. Chem. A · doi:10.1039/c4ta02071e · Cited by 555
Lai, X., Ren, Q., Vogelbacher, F., Sha, W. E. I., Hou, X., Yao, X., Song, Y., & Li, M. (2022) · Advanced Materials · doi:10.1002/adma.202107243 · Cited by 154
Self-citation
Metadata
- Authors
- Hou, J., Zhang, H., Yang, Q., Li, M., Song, Y., & Jiang, L.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2014-03-28
- Volume
- 53
- Issue
- 23
- Pages
- 5791-5795
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2132424267
- Cited by
- 280
- References
- 1
- FWCI
- 16.80
- 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: Bio‐Inspired Photonic‐Crystal Microchip for Fluorescent Ultratrace Detection. https://app.cochat.ai/papers/10.1002/anie.201400686
- The paper
- Hou, J., Zhang, H., Yang, Q., Li, M., Song, Y., & Jiang, L. (2014). Bio‐Inspired Photonic‐Crystal Microchip for Fluorescent Ultratrace Detection. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201400686
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.