Lenders, JJM, Bawazer, LA, Green, DC orcid.org/0000-0002-0578-2369 et al. (6 more authors) (2017) Combinatorial Evolution of Biomimetic Magnetite Nanoparticles. Advanced Functional Materials, 27 (10). 1604863. ISSN 1616-301X
Abstract
Inspired by Nature's capacity to synthesize well-defined inorganic nanostructures, such as the magnetite particles produced by magnetotactic bacteria, genetic algorithms are employed to combinatorially optimize the aqueous synthesis of magnetite (Fe3O4) nanoparticles through the action of copolypeptide additives. An automated dispensing system is used to prepare and rapidly screen hundreds of mineralization reactions with randomized conditions, varying ferrous iron, base, oxidant, and polypeptide chemistry. Optimization over multiple generations allows identification of conditions under which the copolypeptides promote magnetite formation where this does not occur in their absence. It is found that nanoparticle size, size distribution, and shape can be tuned by the concentrations and compositions of the copolypeptides, and that the reaction pH is the most important factor in controlling the crystalline phase. This approach should be broadly applicable to the syntheses of solid-state materials and represents a valuable strategy for extending biomimetic mineralization to the production of technological materials.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. This is the peer reviewed version of the following article: J. J. M. Lenders, L. A. Bawazer, D. C. Green, H. R. Zope, P. H. H. Bomans, G. de With, A. Kros, F. C. Meldrum, N. A. J. M. Sommerdijk, Adv. Funct. Mater. 2017, which has been published in final form at https://doi.org/10.1002/adfm.201604863. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
Keywords: | bioinspired; biomineralization; genetic algorithms; high-throughput screening; iron oxides |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemistry (Leeds) > Inorganic Chemistry (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Jan 2017 13:04 |
Last Modified: | 23 Jan 2018 01:38 |
Published Version: | https://doi.org/10.1002/adfm.201604863 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/adfm.201604863 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:110019 |