The DOI matches its Crossref record.
Progress toward Catalytic Micro‐ and Nanomotors for Biomedical and Environmental Applications
Open accessAbstract
Synthetic micro‐ and nanomotors (MNMs) are tiny objects that can autonomously move under the influence of an appropriate source of energy, such as a chemical fuel, magnetic field, ultrasound, or light. Chemically driven MNMs are composed of or contain certain reactive material(s) that convert chemical energy of a fuel into kinetic energy (motion) of the particles. Several different materials have been explored over the last decade for the preparation of a wide variety of MNMs. Here, the discovery of materials and approaches to enhance the efficiency of chemically driven MNMs are reviewed. Several prominent applications of the MNMs, especially in the fields of biomedicine and environmental science, are also discussed, as well as the limitations of existing materials and future research directions.
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
Cited by
Photocatalytic TiO 2 Micromotors for Removal of Microplastics and Suspended Matter
Wang, L., Kaeppler, A., Fischer, D., & Simmchen, J. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b06128 · Cited by 389
Liu, L., Chen, B., Liu, K., Gao, J., Ye, Y., Wang, Z., Qin, N., Wilson, D. A., Tu, Y., & Peng, F. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201910108 · Cited by 150
Recent progress of micro/nanomotors to overcome physiological barriers in the gastrointestinal tract
Zhang, S., Zhu, C., Huang, W., Liu, H., Yang, M., Zeng, X., Zhang, Z., Liu, J., Shi, J., Hu, Y., et al. (2023) · Journal of Controlled Release · doi:10.1016/j.jconrel.2023.07.005 · Cited by 59
Metadata
- Authors
- Safdar, M., Khan, S. U., & Jänis, J.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2018-02-07
- Volume
- 30
- Issue
- 24
- Pages
- e1703660-e1703660
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2792825326
- Cited by
- 250
- References
- 0
- FWCI
- 14.80
- Type
- journal article
- Language
- en
- Open access
- green
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: Progress toward Catalytic Micro‐ and Nanomotors for Biomedical and Environmental Applications. https://app.cochat.ai/papers/10.1002/adma.201703660
- The paper
- Safdar, M., Khan, S. U., & Jänis, J. (2018). Progress toward Catalytic Micro‐ and Nanomotors for Biomedical and Environmental Applications. Advanced Materials. https://doi.org/10.1002/adma.201703660
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.