The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Micro- and Nanomotors as Active Environmental Microcleaners and Sensors
Open accessAbstract
The quest to provide clean water to the entire population has led to a tremendous boost in the development of environmental nanotechnology. Toward this end, micro/nanomotors are emerging as attractive tools to improve the removal of various pollutants. The micro/nanomotors either are designed with functional materials in their structure or are modified to target pollutants. The active motion of these motors improves the mixing and mass transfer, greatly enhancing the rate of various remediation processes. Their motion can also be used as an indicator of the presence of a pollutant for sensing purposes. In this Perspective, we discuss different chemical aspects of micromotors mediated environmental cleanup and sensing strategies along with their scalability, reuse, and cost associated challenges.
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
Qu, X., Brame, J., Li, Q., & Alvarez, P. J. J. (2013) · Accounts of Chemical Research · doi:10.1021/ar300029v · Cited by 799
Cited by
3D printing of functional microrobots
Li, J., & Pumera, M. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01062f · Cited by 303
Enzyme-Powered Hollow Nanorobots for Active Microsampling Enabled by Thermoresponsive Polymer Gating
Liu, X., Chen, W., Zhao, D., Liu, X., Wang, Y., Chen, Y., & Ma, X. (2022) · ACS Nano · doi:10.1021/acsnano.2c00401 · Cited by 50
Metadata
- Authors
- Parmar, J., Vilela, D., Villa, K., Wang, J., & Sánchez, S.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-03
- Volume
- 140
- Issue
- 30
- Pages
- 9317-9331
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2809802211
- Cited by
- 423
- References
- 2
- FWCI
- 24.04
- 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: Micro- and Nanomotors as Active Environmental Microcleaners and Sensors. https://app.cochat.ai/papers/10.1021/jacs.8b05762
- The paper
- Parmar, J., Vilela, D., Villa, K., Wang, J., & Sánchez, S. (2018). Micro- and Nanomotors as Active Environmental Microcleaners and Sensors. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.8b05762
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.
