From design to applications of stimuli-responsive hydrogel strain sensors
Abstract
Stimuli-responsive hydrogel strain sensors that synergize the advantages of both soft-wet hydrogels and smart functional materials have attracted rapidly increasing interest for exploring the opportunities from material design principles to emerging applications in electronic skins, health monitors, and human-machine interfaces. Stimuli-responsive hydrogel strain sensors possess smart and on-demand ability to specifically recognize various external stimuli and convert them into strain-induced mechanical, thermal, optical, and electrical signals. This review presents an up-to-date summary over the past five years on hydrogel strain sensors from different aspects, including material designs, gelation/fabrication methods, stimuli-responsive principles, and sensing performance. Hydrogel strain sensors are classified into five major categories based on the nature of the stimuli, and representative examples from each category are carefully selected and discussed in terms of structures, response mechanisms, and potential medical applications. Finally, current challenges and future perspectives of hydrogel strain sensors are tentatively proposed to stimulate more and better research in this emerging field.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Stimuli-responsive hydrogels can respond to environmental stimuli and be applied in detection of biological signals.
“Stimuli-responsive hydrogels can respond to a variety of environmental stimuli [152,153] and, therefore, can be applied in the detection of some biological signals.”
From Mussel-Inspired Injectable Adhesive Hydrogels for Biomedical Applications (2024) · cites this paper as [153]
Cites
Synthesis, properties, and biomedical applications of gelatin methacryloyl (GelMA) hydrogels
Yue, K., Trujillo-de Santiago, G., Alvarez, M. M., Tamayol, A., Annabi, N., & Khademhosseini, A. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2015.08.045 · Cited by 3,146 · see citing works
Cai, G., Wang, J., Qian, K., Chen, J., Li, S., & Lee, P. S. (2017) · Advanced Science · doi:10.1002/advs.201600190 · Cited by 921 · see citing works
Imani, S., Bandodkar, A. J., Mohan, A. M. V., Kumar, R., Yu, S., Wang, J., & Mercier, P. P. (2016) · Nature Communications · doi:10.1038/ncomms11650 · Cited by 861 · see citing works
A wireless body area sensor network based on stretchable passive tags
Niu, S., Matsuhisa, N., Beker, L., Li, J., Wang, S., Wang, J., Jiang, Y., Yan, X., Yun, Y., Burnett, W., et al. (2019) · Nature Electronics · doi:10.1038/s41928-019-0286-2 · Cited by 601 · see citing works
An, B. W., Heo, S., Ji, S., Bien, F., & Park, J.-U. (2018) · Nature Communications · doi:10.1038/s41467-018-04906-1 · Cited by 426 · see citing works
Sensitive and Wearable Optical Microfiber Sensor for Human Health Monitoring
Li, J., Chen, J., & Xu, F. (2018) · Advanced Materials Technologies · doi:10.1002/admt.201800296 · Cited by 151 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
Mussel-Inspired Injectable Adhesive Hydrogels for Biomedical Applications
Dou, W., Zeng, X., Zhu, S., Zhu, Y., Liu, H., & Li, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25169100 · Cited by 52 · see citing works
“Stimuli-responsive hydrogels can respond to a variety of environmental stimuli [152,153] and, therefore, can be applied in the detection of some biological signals.”
Background
- Authors
- Zhang, D., Ren, B., Zhang, Y., Xu, L., Huang, Q., He, Y., Li, X., Wu, J., Yang, J., Chen, Q., Chang, Y., & Zheng, J.
- Affiliations
- University of Akron (US)
- Hunan University of Technology (CN)
- Sichuan University of Science and Engineering (CN)
- Zhejiang University (CN)
- Hubei University of Technology (CN)
- Wenzhou Medical University (CN)
- Zhejiang University of Technology (CN)
- Henan Polytechnic University (CN)
- Chung Yuan Christian University (TW)
- Corresponding author
- Zheng, Jie
- ORCID
- Venue
- Journal of Materials Chemistry B
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2020
- Volume
- 8
- Issue
- 16
- Pages
- 3171-3191
- ISSN
- 2050-750X (ISSN-L)
- 2050-7518
- OpenAlex
- W2999898840
- Cited by
- 199
- References
- 6
- Citations by year
- 2026: 18 · 2025: 23 · 2024: 30 · 2023: 40 · 2022: 35 · 2021: 35 · 2020: 18
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Materials Chemistry B (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (1806138, 1825122)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Hydrogels: synthesis, properties, applications
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Keywords
- stimuli-responsive hydrogels, electronic skin, health monitoring, human-machine interaction, hydrogel synthesis, medical applications
- MeSH terms
- Equipment Design, Particle Size, Surface Properties, Biosensing Techniques, Hydrogels
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