The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Highly Stretchable and Transparent Microfluidic Strain Sensors for Monitoring Human Body Motions
Abstract
We report a new class of simple microfluidic strain sensors with high stretchability, transparency, sensitivity, and long-term stability with no considerable hysteresis and a fast response to various deformations by combining the merits of microfluidic techniques and ionic liquids. The high optical transparency of the strain sensors was achieved by introducing refractive-index matched ionic liquids into microfluidic networks or channels embedded in an elastomeric matrix. The microfluidic strain sensors offer the outstanding sensor performance under a variety of deformations induced by stretching, bending, pressing, and twisting of the microfluidic strain sensors. The principle of our microfluidic strain sensor is explained by a theoretical model based on the elastic channel deformation. In order to demonstrate its capability of practical usage, the simple-structured microfluidic strain sensors were performed onto a finger, wrist, and arm. The highly stretchable and transparent microfluidic strain sensors were successfully applied as potential platforms for distinctively monitoring a wide range of human body motions in real time. Our novel microfluidic strain sensors show great promise for making future stretchable electronic devices.
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
The origins and the future of microfluidics
Whitesides, G. M. (2006) · Nature · doi:10.1038/nature05058 · Cited by 9,687
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
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
Highly Stretchable and Sensitive Strain Sensor Based on Silver Nanowire–Elastomer Nanocomposite
Amjadi, M., Pichitpajongkit, A., Lee, S., Ryu, S., & Park, I. (2014) · ACS Nano · doi:10.1021/nn501204t · Cited by 2,350
A flexible and highly sensitive strain-gauge sensor using reversible interlocking of nanofibres
Pang, C., Lee, G.-Y., Kim, T.-I., Kim, S. M., Kim, H. N., Ahn, S.-H., & Suh, K.-Y. (2012) · Nature Materials · doi:10.1038/nmat3380 · Cited by 1,695
Ultrasensitive mechanical crack-based sensor inspired by the spider sensory system
Kang, D., Pikhitsa, P. V., Choi, Y. W., Lee, C., Shin, S. S., Piao, L., Park, B., Suh, K.-Y., Kim, T.-I., & Choi, M. (2014) · Nature · doi:10.1038/nature14002 · Cited by 1,626
Highly Stretchable Piezoresistive Graphene–Nanocellulose Nanopaper for Strain Sensors
Yan, C., Wang, J., Kang, W., Cui, M., Wang, X., Foo, C. Y., Chee, K. J., & Lee, P. S. (2014) · Advanced Materials · doi:10.1002/adma.201304742 · Cited by 1,179
Park, J., Lee, Y., Hong, J., Ha, M., Jung, Y.-D., Lim, H., Kim, S. Y., & Ko, H. (2014) · ACS Nano · doi:10.1021/nn500441k · Cited by 915
Cited by
Recent Progress on Stretchable Electronic Devices with Intrinsically Stretchable Components
Trung, T. Q., & Lee, N. (2017) · Advanced Materials · doi:10.1002/adma.201603167 · Cited by 497
Highly stretchable and transparent ionic conducting elastomers
Shi, L., Zhu, T., Gao, G., Zhang, X., Wei, W., Liu, W., & Ding, S. (2018) · Nature Communications · doi:10.1038/s41467-018-05165-w · Cited by 337
Highly Stretchable Core–Sheath Fibers via Wet-Spinning for Wearable Strain Sensors
Tang, Z., Jia, S., Wang, F., Bian, C., Chen, Y., Wang, Y., & Li, B. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b18677 · Cited by 312
Chen, J., Zhang, J., Luo, Z., Zhang, J., Li, L., Su, Y., Gao, X., Li, Y., Tang, W., Cao, C., et al. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c04709 · Cited by 282
Metadata
- Authors
- Yoon, S. G., Koo, H.-J., & Chang, S. T.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-12-01
- Volume
- 7
- Issue
- 49
- Pages
- 27562-27570
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2427728588
- Cited by
- 158
- References
- 8
- FWCI
- 8.18
- 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: Highly Stretchable and Transparent Microfluidic Strain Sensors for Monitoring Human Body Motions. https://app.cochat.ai/papers/10.1021/acsami.5b08404
- The paper
- Yoon, S. G., Koo, H.-J., & Chang, S. T. (2015). Highly Stretchable and Transparent Microfluidic Strain Sensors for Monitoring Human Body Motions. ACS Applied Materials & Interfaces. https://doi.org/10.1021/acsami.5b08404
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.
