The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Flexible Sensors Based on Nanoparticles
Abstract
Flexible sensors can be envisioned as promising components for smart sensing applications, including consumer electronics, robotics, prosthetics, health care, safety equipment, environmental monitoring, homeland security and space flight. The current review presents a concise, although admittedly nonexhaustive, didactic review of some of the main concepts and approaches related to the use of nanoparticles (NPs) in flexible sensors. The review attempts to pull together different views and terminologies used in the NP-based sensors, mainly those established via electrical transduction approaches, including, but, not confined to: (i) strain-gauges, (ii) flexible multiparametric sensors, and (iii) sensors that are unaffected by mechanical deformation. For each category, the review presents and discusses the common fabrication approaches and state-of-the-art results. The advantages, weak points, and possible routes for future research, highlighting the challenges for NP-based flexible sensors, are presented and discussed as well.
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
Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers
Mannsfeld, S. C. B., Tee, B. C.-K., Stoltenberg, R. M., Chen, C. V. H.-H., Barman, S., Muir, B. V. O., Sokolov, A. N., Reese, C., & Bao, Z. (2010) · Nature Materials · doi:10.1038/nmat2834 · Cited by 3,291
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
Nanowire active-matrix circuitry for low-voltage macroscale artificial skin
Takei, K., Takahashi, T., Ho, J. C., Ko, H., Gillies, A. G., Leu, P. W., Fearing, R. S., & Javey, A. (2010) · Nature Materials · doi:10.1038/nmat2835 · Cited by 1,274
Flexible and Stretchable Electronics for Biointegrated Devices
Kim, D.-H., Ghaffari, R., Lu, N., & Rogers, J. A. (2012) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071811-150018 · Cited by 749
Jones, L. A., & Lederman, S. J. (2006) · doi:10.1093/acprof:oso/9780195173154.001.0001 · Cited by 720
Recent advances in flexible sensors for wearable and implantable devices
Pang, C., Lee, C., & Suh, K. (2013) · Journal of Applied Polymer Science · doi:10.1002/app.39461 · Cited by 457
Bonato, P. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2010.936554 · Cited by 423
Wearable Medical Systems for p-Health
Teng, X.-F., Zhang, Y.-T., Poon, C. C. Y., & Bonato, P. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008248 · Cited by 310
Active Devices Based on Organic Semiconductors for Wearable Applications
Barbaro, M., Caboni, A., Cosseddu, P., Mattana, G., & Bonfiglio, A. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2010.2044798 · Cited by 60
Cited by
New concept ultraviolet photodetectors
Chen, H., Liu, K., Hu, L., Al-Ghamdi, A. A., & Fang, X. (2015) · Materials Today · doi:10.1016/j.mattod.2015.06.001 · Cited by 937
Liu, Q., Chen, J., Li, Y., & Shi, G. (2016) · ACS Nano · doi:10.1021/acsnano.6b03813 · Cited by 609
Park, J. J., Hyun, W. J., Mun, S. C., Park, Y. T., & Park, O. O. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b00695 · Cited by 598
Graphene-based wearable piezoresistive physical sensors
Zheng, Q., Lee, J.-H., Shen, X., Chen, X., & Kim, J.-K. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.004 · Cited by 486
Wearable flexible sweat sensors for healthcare monitoring: a review
Chung, M., Fortunato, G., & Radacsi, N. (2019) · Journal of The Royal Society Interface · doi:10.1098/rsif.2019.0217 · Cited by 378
Metadata
- Authors
- Segev-Bar, M., & Haick, H.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-09-09
- Volume
- 7
- Issue
- 10
- Pages
- 8366-8378
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W1992211560
- Cited by
- 511
- References
- 10
- FWCI
- 19.49
- 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: Flexible Sensors Based on Nanoparticles. https://app.cochat.ai/papers/10.1021/nn402728g
- The paper
- Segev-Bar, M., & Haick, H. (2013). Flexible Sensors Based on Nanoparticles. ACS Nano. https://doi.org/10.1021/nn402728g
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.