Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes

Detalhes bibliográficos
Autor(a) principal: Ramou, Efthymia
Data de Publicação: 2022
Outros Autores: Palma, Susana I. C. J., Roque, Ana Cecília A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/139309
Resumo: This project has received funding from the European Research Council (ERC) under the EU Horizon 2020 research and innovation programme (SCENT-ERC-2014-STG-639123, 2015–2022). project LA/P/0140/2020 of the Associate Laboratory Institute for Health and Bioeconomy─i4HB. The authors would also like to thank Tomás Calmeiro from CENIMAT|i3N for the AFM images, Ana Marques and Isabel Ferreira from the Energy Materials (EM) Lab for AFM and Raman, and Carla Rodrigues from LAQV analysis lab for the DSC experiments. The authors acknowledge support from previous lab members, namely, Gonçalo Santos, Cláudia Alves, and Fábio Leite. Publisher Copyright: © 2022 American Chemical Society.
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spelling Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analyteselectronic noseionic liquidliquid crystalmachine learningnanoscaleself-assemblyMaterials Science(all)This project has received funding from the European Research Council (ERC) under the EU Horizon 2020 research and innovation programme (SCENT-ERC-2014-STG-639123, 2015–2022). project LA/P/0140/2020 of the Associate Laboratory Institute for Health and Bioeconomy─i4HB. The authors would also like to thank Tomás Calmeiro from CENIMAT|i3N for the AFM images, Ana Marques and Isabel Ferreira from the Energy Materials (EM) Lab for AFM and Raman, and Carla Rodrigues from LAQV analysis lab for the DSC experiments. The authors acknowledge support from previous lab members, namely, Gonçalo Santos, Cláudia Alves, and Fábio Leite. Publisher Copyright: © 2022 American Chemical Society.Liquid crystals (LCs) are prime examples of dynamic supramolecular soft materials. Their autonomous self-assembly at the nanoscale level and the further nanoscale events that give rise to unique stimuli-responsive properties have been exploited for sensing purposes. One of the key features to employ LCs as sensing materials derives from the fine-tuning between stability and dynamics. This challenging task was addressed in this work by studying the effect of the alkyl chain length of cyanobiphenyl LCs on the molecular self-assembled compartments organized in the presence of ionic liquid molecules and gelatin. The resulting multicompartment nematic and smectic gels were further used as volatile organic compound chemical sensors. The LC structures undergo a dynamic sequence of phase transitions, depending on the nature of the LC component, yielding a variety of optical signals, which serve as optical fingerprints. In particular, the materials incorporating smectic compartments resulted in unexpected and rich optical textures that have not been reported previously. Their sensing capability was tested in an in-house-assembled electronic nose and further assessed via signal collection and machine-learning algorithms based on support vector machines, which classified 12 different gas analytes with high accuracy scores. Our work expands the knowledge on controlling LC self-assembly to yield fast and autonomous accurate chemical-sensing systems based on the combination of complex nanoscale sensing events with artificial intelligence tools.DQ - Departamento de QuímicaUCIBIO - Applied Molecular Biosciences UnitRUNRamou, EfthymiaPalma, Susana I. C. J.Roque, Ana Cecília A.2023-02-02T01:31:50Z2022-02-022022-02-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/139309eng1944-8244PURE: 40123463https://doi.org/10.1021/acsami.1c24721info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:16:37Zoai:run.unl.pt:10362/139309Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:49:23.651166Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes
title Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes
spellingShingle Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes
Ramou, Efthymia
electronic nose
ionic liquid
liquid crystal
machine learning
nanoscale
self-assembly
Materials Science(all)
title_short Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes
title_full Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes
title_fullStr Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes
title_full_unstemmed Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes
title_sort Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes
author Ramou, Efthymia
author_facet Ramou, Efthymia
Palma, Susana I. C. J.
Roque, Ana Cecília A.
author_role author
author2 Palma, Susana I. C. J.
Roque, Ana Cecília A.
author2_role author
author
dc.contributor.none.fl_str_mv DQ - Departamento de Química
UCIBIO - Applied Molecular Biosciences Unit
RUN
dc.contributor.author.fl_str_mv Ramou, Efthymia
Palma, Susana I. C. J.
Roque, Ana Cecília A.
dc.subject.por.fl_str_mv electronic nose
ionic liquid
liquid crystal
machine learning
nanoscale
self-assembly
Materials Science(all)
topic electronic nose
ionic liquid
liquid crystal
machine learning
nanoscale
self-assembly
Materials Science(all)
description This project has received funding from the European Research Council (ERC) under the EU Horizon 2020 research and innovation programme (SCENT-ERC-2014-STG-639123, 2015–2022). project LA/P/0140/2020 of the Associate Laboratory Institute for Health and Bioeconomy─i4HB. The authors would also like to thank Tomás Calmeiro from CENIMAT|i3N for the AFM images, Ana Marques and Isabel Ferreira from the Energy Materials (EM) Lab for AFM and Raman, and Carla Rodrigues from LAQV analysis lab for the DSC experiments. The authors acknowledge support from previous lab members, namely, Gonçalo Santos, Cláudia Alves, and Fábio Leite. Publisher Copyright: © 2022 American Chemical Society.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-02
2022-02-02T00:00:00Z
2023-02-02T01:31:50Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/139309
url http://hdl.handle.net/10362/139309
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 1944-8244
PURE: 40123463
https://doi.org/10.1021/acsami.1c24721
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