The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bio-inspired self-healing structural color hydrogel
Open accessAbstract
Significance: Structural color hydrogels have been widely studied and used in different applications, such as in switches, optical devices, etc. However, because the deterioration and accumulation of damage of these materials are inevitable during applications, the creation of bio-inspired structure color materials with increased survivability is still desired for both fundamental research and practical applications. In this study, inspired by creatures in nature with spontaneous healing from injury and recovering of functionality, we demonstrated a self-healing structural color hydrogel by filling a healable protein hydrogel into an inverse opal scaffold. A series of new structural color materials with 1D linear microfiber, 2D pattern, and 3D photonic path structures could be constructed by assembling and healing the composite structural color hydrogel elements.
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
Cai, G., Wang, J., Qian, K., Chen, J., Li, S., & Lee, P. S. (2017) · Advanced Science · doi:10.1002/advs.201600190 · Cited by 921
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
Self-citationFabrication of Bioinspired Hydrogels: Challenges and Opportunities
Fan, H., & Gong, J. P. (2020) · Macromolecules · doi:10.1021/acs.macromol.0c00238 · Cited by 292
Chen, M., Tian, J., Liu, Y., Cao, H., Li, R., Wang, J., Wu, J., & Zhang, Q. (2019) · Chemical Engineering Journal · doi:10.1016/j.cej.2019.05.043 · Cited by 281
Metadata
- Authors
- Fu, F., Chen, Z., Zhao, Z., Wang, H., Shang, L., Gu, Z., & Zhao, Y.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2017-05-22
- Volume
- 114
- Issue
- 23
- Pages
- 5900-5905
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2617811925
- Cited by
- 300
- References
- 1
- FWCI
- 19.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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 self-healing structural color hydrogel. https://app.cochat.ai/papers/10.1073/pnas.1703616114
- The paper
- Fu, F., Chen, Z., Zhao, Z., Wang, H., Shang, L., Gu, Z., & Zhao, Y. (2017). Bio-inspired self-healing structural color hydrogel. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1703616114
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.
