Using the High-Entropy Approach to Obtain Multimetal Oxide Nanozymes: Library Synthesis, In Silico Structure–Activity, and Immunoassay Performance

High-entropy nanomaterials exhibit exceptional mechanical, physical, and chemical properties, finding applications in many industries. Peroxidases are metalloenzymes that accelerate the decomposition of hydrogen peroxide. This study uses the high-entropy approach to generate multimetal oxide-based n...

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Veröffentlicht in:ACS nano 2024-07, Vol.18 (29), p.19024-19037
Hauptverfasser: Phan-Xuan, Thuong, Schweidler, Simon, Hirte, Steffen, Schüller, Moritz, Lin, Ling, Khandelwal, Anurag, Wang, Kai, Schützke, Jan, Reischl, Markus, Kübel, Christian, Hahn, Horst, Bello, Gianluca, Kirchmair, Johannes, Aghassi-Hagmann, Jasmin, Brezesinski, Torsten, Breitung, Ben, Dailey, Lea Ann
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Sprache:eng
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Zusammenfassung:High-entropy nanomaterials exhibit exceptional mechanical, physical, and chemical properties, finding applications in many industries. Peroxidases are metalloenzymes that accelerate the decomposition of hydrogen peroxide. This study uses the high-entropy approach to generate multimetal oxide-based nanozymes with peroxidase-like activity and explores their application as sensors in ex vivo bioassays. A library of 81 materials was produced using a coprecipitation method for rapid synthesis of up to 100 variants in a single plate. The A and B sites of the magnetite structure, (AA‘)­(BB’B‘‘)2O4, were substituted with up to six different cations (Cu/Fe/Zn/Mg/Mn/Cr). Increasing the compositional complexity improved the catalytic performance; however, substitutions of single elements also caused drastic reductions in the peroxidase-like activity. A generalized linear model was developed describing the relationship between material composition and catalytic activity. Binary interactions between elements that acted synergistically or antagonistically were identified, and a single parameter, the mean interaction effect, was observed to correlate highly with catalytic activity, providing a valuable tool for the design of high-entropy-inspired nanozymes.
ISSN:1936-0851
1936-086X
1936-086X
DOI:10.1021/acsnano.4c03053