The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High-sensitivity acoustic sensors from nanofibre webs
Open accessAbstract
Considerable interest has been devoted to converting mechanical energy into electricity using polymer nanofibres. In particular, piezoelectric nanofibres produced by electrospinning have shown remarkable mechanical energy-to-electricity conversion ability. However, there is little data for the acoustic-to-electric conversion of electrospun nanofibres. Here we show that electrospun piezoelectric nanofibre webs have a strong acoustic-to-electric conversion ability. Using poly(vinylidene fluoride) as a model polymer and a sensor device that transfers sound directly to the nanofibre layer, we show that the sensor devices can detect low-frequency sound with a sensitivity as high as 266 mV Pa−1. They can precisely distinguish sound waves in low to middle frequency region. These features make them especially suitable for noise detection. Our nanofibre device has more than five times higher sensitivity than a commercial piezoelectric poly(vinylidene fluoride) film device. Electrospun piezoelectric nanofibres may be useful for developing high-performance acoustic sensors.
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
Persano, L., Dagdeviren, C., Su, Y., Zhang, Y., Girardo, S., Pisignano, D., Huang, Y., & Rogers, J. A. (2013) · Nature Communications · doi:10.1038/ncomms2639 · Cited by 1,271
Cited by
Flexible Hybrid Electronics for Digital Healthcare
Ma, Y., Zhang, Y., Cai, S., Han, Z., Liu, X., Wang, F., Cao, Y., Wang, Z., Li, H., Chen, Y., et al. (2020) · Advanced Materials · doi:10.1002/adma.201902062 · Cited by 620
Microchannel‐Confined MXene Based Flexible Piezoresistive Multifunctional Micro‐Force Sensor
Gao, Y., Yan, C., Huang, H., Yang, T., Tian, G., Xiong, D., Chen, N., Chu, X., Zhong, S., Deng, W., et al. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201909603 · Cited by 396
Stadlober, B., Zirkl, M., & Irimia-Vladu, M. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00928g · Cited by 339
Metadata
- Authors
- Lang, C., Fang, J., Shao, H., Ding, X., & Lin, T.
- Venue
- Nature Communications
- Published
- 2016-03-23
- Volume
- 7
- Issue
- 1
- Pages
- 11108-11108
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2308013030
- Cited by
- 395
- References
- 1
- FWCI
- 12.01
- Type
- journal article
- Language
- en
- Open access
- gold
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: High-sensitivity acoustic sensors from nanofibre webs. https://app.cochat.ai/papers/10.1038/ncomms11108
- The paper
- Lang, C., Fang, J., Shao, H., Ding, X., & Lin, T. (2016). High-sensitivity acoustic sensors from nanofibre webs. Nature Communications. https://doi.org/10.1038/ncomms11108
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.
