One‐step synthesis of spin crossover nanoparticles using flow chemistry and supercritical CO2

DOI

Data set and images from

  • Publication : Daro N., Vaudel T., Afindouli L., Marre S., Aymonier C. and Chastanet G. One‐step synthesis of spin crossover nanoparticles using flow chemistry and supercritical CO2. Chemistry - European Journal 2020 vol.26, n°69, p.16286-16290. DOI : 10.1002/chem.202002322 / HAL : https://hal.science/hal-02945200

In the project context : ANR FLOWSWITCH - Flow Chemistry for Room Temperature Switchable Particles - ANR-19-CE07-0022-01

Dataset production context :

Switchable materials are increasingly considered for implementation in devices or multifunctional composites leading to a strong need in terms of reliable synthetic productions of well-defined objects. Here, an innovative and robust template-free continuous process was developed to synthesize nanoparticles of a switchable coordination polymer, including the use of supercritical CO2, aiming at both quenching the particle growth and drying the powder. This all-in-one process offers a 12-fold size reduction in a few minutes while maintaining the switching properties of the selected spin crossover coordination polymer.

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Identifier
DOI https://doi.org/10.57745/PM55G5
Related Identifier https://doi.org/10.1002/chem.202002322
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/PM55G5
Provenance
Creator Daro, Nathalie ORCID logo; Chastanet, Guillaume ORCID logo; Marre, Samuel (ORCID: 0000-0001-8889-187X); Aymonier, Cyril ORCID logo; Vaudel, Tony; Afindouli, Luc
Publisher Recherche Data Gouv
Contributor TOULIN, Stéphane; Centre National de la Recherche Scientifique; Université de Bordeaux; Bordeaux INP; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2023
Funding Reference French National Research Agency ANR-19-CE07-0022-01 ; Région Nouvelle Aquitaine ; ADEME ISOCEL project
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact TOULIN, Stéphane (CNRS)
Representation
Resource Type Dataset
Format image/jpeg; text/plain; text/tab-separated-values
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Version 2.0
Discipline Chemistry; Physics; Engineering Sciences; Materials Science; Materials Science and Engineering; Natural Sciences
Spatial Coverage Pessac