The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Characterizing the Swimming Properties of Artificial Bacterial Flagella
Abstract
Artificial bacterial flagella (ABFs) consist of helical tails resembling natural flagella fabricated by the self-scrolling of helical nanobelts and soft-magnetic heads composed of Cr/Ni/Au stacked thin films. ABFs are controlled wirelessly using a low-strength rotating magnetic field. Self-propelled devices such as these are of interest for in vitro and in vivo biomedical applications. Swimming tests of ABFs show a linear relationship between the frequency of the applied field and the translational velocity when the frequency is lower than the step-out frequency of the ABF. Moreover, the influences of head size on swimming velocity and the lateral drift of an ABF near a solid boundary are investigated. An experimental method to estimate the propulsion matrix of a helical swimmer under a light microscope is developed. Finally, swarm-like behavior of multiple ABFs controlled as a single entity is demonstrated.
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
Purcell, E. M. (1977) · American Journal of Physics · doi:10.1119/1.10903 · Cited by 4,360
Cited by
Biomedical Applications of Untethered Mobile Milli/Microrobots
Sitti, M., Ceylan, H., Hu, W., Giltinan, J., Turan, M., Yim, S., & Diller, E. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2385105 · Cited by 893
Bio-inspired magnetic swimming microrobots for biomedical applications
Peyer, K. E., Zhang, L., & Nelson, B. J. (2013) · Nanoscale · doi:10.1039/c2nr32554c · Cited by 820
Self-citationNano/Microscale Motors: Biomedical Opportunities and Challenges
Wang, J., & Gao, W. (2012) · ACS Nano · doi:10.1021/nn3028997 · Cited by 668
The Environmental Impact of Micro/Nanomachines: A Review
Gao, W., & Wang, J. (2014) · ACS Nano · doi:10.1021/nn500077a · Cited by 594
Propulsive force measurements and flow behavior of undulatory swimmers at low Reynolds number
Sznitman, J., Shen, X., Sznitman, R., & Arratia, P. E. (2010) · Physics of Fluids · doi:10.1063/1.3529236 · Cited by 80
Metadata
- Authors
- Zhang, L., Abbott, J. J., Dong, L., Peyer, K. E., Kratochvil, B. E., Zhang, H., Bergeles, C., & Nelson, B. J.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-09-04
- Volume
- 9
- Issue
- 10
- Pages
- 3663-3667
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2156477602
- Cited by
- 489
- References
- 1
- FWCI
- 18.92
- 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: Characterizing the Swimming Properties of Artificial Bacterial Flagella. https://app.cochat.ai/papers/10.1021/nl901869j
- The paper
- Zhang, L., Abbott, J. J., Dong, L., Peyer, K. E., Kratochvil, B. E., Zhang, H., Bergeles, C., & Nelson, B. J. (2009). Characterizing the Swimming Properties of Artificial Bacterial Flagella. Nano Letters. https://doi.org/10.1021/nl901869j
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.
