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Cited by 328

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Recent Implementations of Molecular Photoswitches into Smart Materials and Biological Systems

Pianowski, Zbigniew L.·2019·Chemistry – A European Journal

Abstract

Light is a nearly ideal stimulus for molecular systems. It delivers information encoded in the form of wavelengths and their intensities with high precision in space and time. Light is a mild trigger that does not permanently contaminate targeted samples. Its energy can be reversibly transformed into molecular motion, polarity, or flexibility changes. This leads to sophisticated functions at the supramolecular and macroscopic levels, from light‐triggered nanomaterials to photocontrol over biological systems. New methods and molecular adapters of light are reported almost daily. Recently reported applications of photoresponsive systems, particularly azobenzenes, spiropyrans, diarylethenes, and indigoids, for smart materials and photocontrol of biological setups are described herein with the aim to demonstrate that the 21st century has become the Age of Enlightenment—“Le siècle des Lumières”—in molecular sciences.

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Metadata

Authors
Pianowski, Z. L.
Venue
Chemistry – A European Journal
Publisher
Wiley
Published
2019-02-12
Volume
25
Issue
20
Pages
5128-5144
ISSN
  • 0947-6539 (ISSN-L)
  • 1521-3765
OpenAlex
W2910647810
Cited by
328
References
122
FWCI
15.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent Implementations of Molecular Photoswitches into Smart Materials and Biological Systems. https://app.cochat.ai/papers/10.1002/chem.201805814
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Pianowski, Z. L. (2019). Recent Implementations of Molecular Photoswitches into Smart Materials and Biological Systems. Chemistry – A European Journal. https://doi.org/10.1002/chem.201805814

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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.