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Green microfluidic synthesis of monodisperse silver nanoparticles via genetic algorithm optimization
Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - Ångström, Physical Chemistry.
Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - Ångström, Physical Chemistry.
Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - Ångström, Physical Chemistry.
Univ Sao Paulo, Inst Chem, Dept Fundamental Chem, BR-05508000 Sao Paulo, Brazil..
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2016 (English)In: RSC Advances, ISSN 2046-2069, E-ISSN 2046-2069, Vol. 6, no 98, p. 95693-95697Article in journal (Refereed) Published
Abstract [en]

A scalable and green procedure for the microfluidic flow synthesis of monodisperse silver nanoparticles is reported. Beetroot extract is used both as a reducing and growth-regulating agent. A multi-objective genetic algorithm was used to automate the optimization of the reaction and reduce sample polydispersity observed in previous reports. The proposed methodology ensures high-quality nanoparticles in a rapidly manner and devoid of human skill or intuition, essential for method standardization and implementation.

Place, publisher, year, edition, pages
2016. Vol. 6, no 98, p. 95693-95697
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Chemical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-310568DOI: 10.1039/c6ra20877kISI: 000385633100038OAI: oai:DiVA.org:uu-310568DiVA, id: diva2:1057676
Funder
Swedish Research Council, 2015-03764Available from: 2016-12-19 Created: 2016-12-16 Last updated: 2017-11-29Bibliographically approved

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Fernandes, Daniel L. A.Paun, CristinaPavliuk, Mariia V.Sá, Jacinto

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