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Polymorph Separation by Ordered Patterning
We herein address the problem of polymorph selection by introducing a general and straightforward concept based on their ordering. We demonstrated the concept by the ordered patterning of four compounds capable of forming different polymorphs when deposited on technologically relevant surfaces. Our...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655954/ https://www.ncbi.nlm.nih.gov/pubmed/36364061 http://dx.doi.org/10.3390/molecules27217235 |
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author | Cavallini, Massimiliano Brucale, Marco Gentili, Denis Liscio, Fabiola Maini, Lucia Favaretto, Laura Manet, Ilse Zambianchi, Massimo Melucci, Manuela |
author_facet | Cavallini, Massimiliano Brucale, Marco Gentili, Denis Liscio, Fabiola Maini, Lucia Favaretto, Laura Manet, Ilse Zambianchi, Massimo Melucci, Manuela |
author_sort | Cavallini, Massimiliano |
collection | PubMed |
description | We herein address the problem of polymorph selection by introducing a general and straightforward concept based on their ordering. We demonstrated the concept by the ordered patterning of four compounds capable of forming different polymorphs when deposited on technologically relevant surfaces. Our approach exploits the fact that, when the growth of a crystalline material is confined within sufficiently small cavities, only one of the possible polymorphs is generated. We verify our method by utilizing several model compounds to fabricate micrometric “logic patterns” in which each of the printed pixels is easily identifiable as comprising only one polymorph and can be individually accessed for further operations. |
format | Online Article Text |
id | pubmed-9655954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96559542022-11-15 Polymorph Separation by Ordered Patterning Cavallini, Massimiliano Brucale, Marco Gentili, Denis Liscio, Fabiola Maini, Lucia Favaretto, Laura Manet, Ilse Zambianchi, Massimo Melucci, Manuela Molecules Article We herein address the problem of polymorph selection by introducing a general and straightforward concept based on their ordering. We demonstrated the concept by the ordered patterning of four compounds capable of forming different polymorphs when deposited on technologically relevant surfaces. Our approach exploits the fact that, when the growth of a crystalline material is confined within sufficiently small cavities, only one of the possible polymorphs is generated. We verify our method by utilizing several model compounds to fabricate micrometric “logic patterns” in which each of the printed pixels is easily identifiable as comprising only one polymorph and can be individually accessed for further operations. MDPI 2022-10-25 /pmc/articles/PMC9655954/ /pubmed/36364061 http://dx.doi.org/10.3390/molecules27217235 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cavallini, Massimiliano Brucale, Marco Gentili, Denis Liscio, Fabiola Maini, Lucia Favaretto, Laura Manet, Ilse Zambianchi, Massimo Melucci, Manuela Polymorph Separation by Ordered Patterning |
title | Polymorph Separation by Ordered Patterning |
title_full | Polymorph Separation by Ordered Patterning |
title_fullStr | Polymorph Separation by Ordered Patterning |
title_full_unstemmed | Polymorph Separation by Ordered Patterning |
title_short | Polymorph Separation by Ordered Patterning |
title_sort | polymorph separation by ordered patterning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655954/ https://www.ncbi.nlm.nih.gov/pubmed/36364061 http://dx.doi.org/10.3390/molecules27217235 |
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