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Title: | Enzyme-powered micro- and nano-motors: key parameters for an application-oriented design |
Author: | Arqué, Xavier Patiño, Tania Sánchez, Samuel |
Keywords: | Nanotecnologia Motors Materials biomèdics Nanotechnology Engines Biomedical materials |
Issue Date: | 21-Jul-2022 |
Abstract: | Nature has inspired the creation of artificial micro- and nanomotors that self-propel converting chemical energy into mechanical action. These tiny machines have appeared as promising biomedical tools for treatment and diagnosis and have also been used for environmental, antimicrobial or sensing applications. Among the possible catalytic engines, enzymes have emerged as an alternative to inorganic catalysts due to their biocompatibility and the variety and bioavailability of fuels. Although the field of enzyme-powered micro- and nano-motors has a trajectory of more than a decade, a comprehensive framework on how to rationally design, control and optimize their motion is still missing. With this purpose, herein we performed a thorough bibliographic study on the key parameters governing the propulsion of these enzyme-powered devices, namely the chassis shape, the material composition, the motor size, the enzyme type, the method used to incorporate enzymes, the distribution of the product released, the motion mechanism, the motion media and the technique used for motion detection. In conclusion, from the library of options that each parameter offers there needs to be a rational selection and intelligent design of enzymatic motors based on the specific application envisioned. |
Note: | Reproducció del document publicat a: https://doi.org/10.1039/d2sc01806c |
It is part of: | Chemical Science, 2022, vol. 32, num. 13, p. 9128-9146 |
URI: | http://hdl.handle.net/2445/188740 |
Related resource: | https://doi.org/10.1039/d2sc01806c |
ISSN: | 2041-6539 |
Appears in Collections: | Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC)) Publicacions de projectes de recerca finançats per la UE |
Files in This Item:
File | Description | Size | Format | |
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2022_CheSci_Enzyme_SanchezS.pdf | 2.13 MB | Adobe PDF | View/Open |
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