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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...

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Detalles Bibliográficos
Autores principales: Cavallini, Massimiliano, Brucale, Marco, Gentili, Denis, Liscio, Fabiola, Maini, Lucia, Favaretto, Laura, Manet, Ilse, Zambianchi, Massimo, Melucci, Manuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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