The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Highly Stretchable, Elastic, and Ionic Conductive Hydrogel for Artificial Soft Electronics
Open accessAbstract
High conductivity, large mechanical strength, and elongation are important parameters for soft electronic applications. However, it is difficult to find a material with balanced electronic and mechanical performance. Here, a simple method is developed to introduce ion‐rich pores into strong hydrogel matrix and fabricate a novel ionic conductive hydrogel with a high level of electronic and mechanical properties. The proposed ionic conductive hydrogel is achieved by physically cross‐linking the tough biocompatible polyvinyl alcohol (PVA) gel as the matrix and embedding hydroxypropyl cellulose (HPC) biopolymer fibers inside matrix followed by salt solution soaking. The wrinkle and dense structure induced by salting in PVA matrix provides large stress (1.3 MPa) and strain (975%). The well‐distributed porous structure as well as ion migration–facilitated ion‐rich environment generated by embedded HPC fibers dramatically enhances ionic conductivity (up to 3.4 S m−1, at f = 1 MHz). The conductive hybrid hydrogel can work as an artificial nerve in a 3D printed robotic hand, allowing passing of stable and tunable electrical signals and full recovery under robotic hand finger movements. This natural rubber‐like ionic conductive hydrogel has a promising application in artificial flexible electronics.
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
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Self-citationDesigning materials for biology and medicine
Langer, R., & Tirrell, D. A. (2004) · Nature · doi:10.1038/nature02388 · Cited by 3,198
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
Induction of pathogenic TH17 cells by inducible salt-sensing kinase SGK1
Wu, C., Yosef, N., Thalhamer, T., Zhu, C., Xiao, S., Kishi, Y., Regev, A., & Kuchroo, V. K. (2013) · Nature · doi:10.1038/nature11984 · Cited by 1,022
Thoniyot, P., Tan, M. J., Karim, A. A., Young, D. J., & Loh, X. J. (2015) · Advanced Science · doi:10.1002/advs.201400010 · Cited by 928
Plasticizing Silk Protein for On‐Skin Stretchable Electrodes
Chen, G., Matsuhisa, N., Liu, Z., Qi, D., Cai, P., Jiang, Y., Wan, C., Cui, Y., Leow, W. R., Liu, Z., et al. (2018) · Advanced Materials · doi:10.1002/adma.201800129 · Cited by 343
Self-citationBiocompatibility of intracortical microelectrodes: current status and future prospects
Marin, C. (2010) · Frontier in Neuroengineering · doi:10.3389/fneng.2010.00008 · Cited by 160
Cited by
Ye, Y., Zhang, Y., Chen, Y., Han, X., & Jiang, F. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202003430 · Cited by 826
Zhao, Y., Li, Z., Song, S., Yang, K., Liu, H., Yang, Z., Wang, J., Yang, B., & Lin, Q. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201901474 · Cited by 528
Multifunctional conductive hydrogel-based flexible wearable sensors
Wang, L., Xu, T., & Zhang, X. (2021) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2020.116130 · Cited by 507
Sui, X., Guo, H., Cai, C., Li, Q., Wen, C., Zhang, X., Wang, X., Yang, J., & Zhang, L. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.129478 · Cited by 445
Chen, G., Huang, J., Gu, J., Peng, S., Xiang, X., Chen, K., Yang, X., Guan, L., Jiang, X., & Hou, L. (2020) · Journal of Materials Chemistry A · doi:10.1039/d0ta00002g · Cited by 359
Metadata
- Authors
- Zhou, Y., Wan, C., Yang, Y., Yang, H., Wang, S., Dai, Z., Ji, K., Jiang, H., Chen, X., & Long, Y.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2018-11-14
- Volume
- 29
- Issue
- 1
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2901114359
- Cited by
- 933
- References
- 7
- FWCI
- 27.28
- 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: Highly Stretchable, Elastic, and Ionic Conductive Hydrogel for Artificial Soft Electronics. https://app.cochat.ai/papers/10.1002/adfm.201806220
- The paper
- Zhou, Y., Wan, C., Yang, Y., Yang, H., Wang, S., Dai, Z., Ji, K., Jiang, H., Chen, X., & Long, Y. (2019). Highly Stretchable, Elastic, and Ionic Conductive Hydrogel for Artificial Soft Electronics. Advanced Functional Materials. https://doi.org/10.1002/adfm.201806220
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.
