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Writing Self‐Erasing Images using Metastable Nanoparticle “Inks”
Abstract
Mission Impossible: Metal nanoparticles (NPs) coated with photoresponsive ligands are used as “inks” for self-erasing “paper” whereby light-induced self-assembly of the NPs is transduced into local color changes (see picture). Depending on the degree of self-assembly, multicolor images can be written using only one type of NP ink. Duration of image erasure is regulated by the surface concentration of photoactive groups and can range from seconds to days.
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Citations
Cited by
Ashkenasy, G., Hermans, T. M., Otto, S., & Taylor, A. F. (2017) · Chemical Society Reviews · doi:10.1039/c7cs00117g · Cited by 595
Dissipative out-of-equilibrium assembly of man-made supramolecular materials
van Rossum, S. A. P., Tena-Solsona, M., van Esch, J. H., Eelkema, R., & Boekhoven, J. (2017) · Chemical Society Reviews · doi:10.1039/c7cs00246g · Cited by 561
Materials learning from life: concepts for active, adaptive and autonomous molecular systems
Merindol, R., & Walther, A. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00738d · Cited by 533
Metadata
- Authors
- Klajn, R., Wesson, P. J., Bishop, K. J. M., & Grzybowski, B. A.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2009-09
- Volume
- 48
- Issue
- 38
- Pages
- 7035-7039
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2117142810
- Cited by
- 410
- References
- 0
- FWCI
- 9.50
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Writing Self‐Erasing Images using Metastable Nanoparticle “Inks”. https://app.cochat.ai/papers/10.1002/anie.200901119
- The paper
- Klajn, R., Wesson, P. J., Bishop, K. J. M., & Grzybowski, B. A. (2009). Writing Self‐Erasing Images using Metastable Nanoparticle “Inks”. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200901119
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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.
