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Cited by 288

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Micromotors Powered by Enzyme Catalysis

Dey, Krishna K., Zhao, Xi, Tansi, Benjamin M., Méndez-Ortiz, Wilfredo J., Córdova-Figueroa, Ubaldo M., Golestanian, Ramin, Sen, Ayusman·2015·Nano Letters

Abstract

Active biocompatible systems are of great current interest for their possible applications in drug or antidote delivery at specific locations. Herein, we report the synthesis and study of self-propelled microparticles powered by enzymatic reactions and their directed movement in substrate concentration gradient. Polystyrene microparticles were functionalized with the enzymes urease and catalase using a biotin-streptavidin linkage procedure. The motion of the enzyme-coated particles was studied in the presence of the respective substrates, using optical microscopy and dynamic light scattering analysis. The diffusion of the particles was found to increase in a substrate concentration dependent manner. The directed chemotactic movement of these enzyme-powered motors up the substrate gradient was studied using three-inlet microfluidic channel architecture.

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Metadata

Authors
Dey, K. K., Zhao, X., Tansi, B. M., Méndez-Ortiz, W. J., Córdova-Figueroa, U. M., Golestanian, R., & Sen, A.
Venue
Nano Letters
Published
2015-11-30
Volume
15
Issue
12
Pages
8311-8315
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2273460296
Cited by
288
References
1
FWCI
14.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Micromotors Powered by Enzyme Catalysis. https://app.cochat.ai/papers/10.1021/acs.nanolett.5b03935
The paper
Dey, K. K., Zhao, X., Tansi, B. M., Méndez-Ortiz, W. J., Córdova-Figueroa, U. M., Golestanian, R., & Sen, A. (2015). Micromotors Powered by Enzyme Catalysis. Nano Letters. https://doi.org/10.1021/acs.nanolett.5b03935

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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.