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Cited by 255

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Light-Activated Organic Molecular Motors and Their Applications

García-López, Víctor, Liu, Dongdong, Tour, James M.·2020·Chemical Reviews

Abstract

Molecular motors are at the heart of cellular machinery, and they are involved in converting chemical and light energy inputs into efficient mechanical work. From a synthetic perspective, the most advanced molecular motors are rotators that are activated by light wherein a molecular subcomponent rotates unidirectionally around an axis. The mechanical work produced by arrays of molecular motors can be used to induce a macroscopic effect. Light activation offers advantages over biological chemically activated molecular motors because one can direct precise spatiotemporal inputs while conducting reactions in the gas phase, in solution and in vacuum, while generating no chemical byproducts or waste. In this review, we describe the origins of the first light-activated rotary motors and their modes of function, the structural modifications that led to newer motor designs with optimized rotary properties at variable activation wavelengths. Presented are molecular motor attachments to surfaces, their insertion into supramolecular structures and photomodulating materials, their use in catalysis, and their action in biological environments to produce exciting new prospects for biomedicine.

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Crossref · 10.1021/acs.chemrev.9b00221

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Metadata

Authors
García-López, V., Liu, D., & Tour, J. M.
Venue
Chemical Reviews
Published
2019-12-18
Volume
120
Issue
1
Pages
79-124
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2995666030
Cited by
255
References
3
FWCI
1.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Light-Activated Organic Molecular Motors and Their Applications. https://app.cochat.ai/papers/10.1021/acs.chemrev.9b00221
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García-López, V., Liu, D., & Tour, J. M. (2020). Light-Activated Organic Molecular Motors and Their Applications. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.9b00221

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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