ArticleScientific reports2021
Full range tuning of the composition of Au/Ag binary nanoparticles by spark discharge generation.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Current advancements and future research directions in the green synthesis and applications of nanoparticles.Discover nano · 2026Review
- Synergizing ICP-MS, STEM-EDXS, and SMPS single particle analytics exemplified by superlattice L1Nanoscale advances · 2024Article
- Compositional tuning of gas-phase synthesized Pd-Cu nanoparticles.Nanoscale advances · 2023Article
- Metal 3D nanoprinting with coupled fields.Nature communications · 2023Article
- Spark Discharge Synthesis and Characterization of Ge/Sn Janus Nanoparticles.Nanomaterials (Basel, Switzerland) · 2023Article
- Recent Developments in Plasmonic Alloy Nanoparticles: Synthesis, Modelling, Properties and Applications.Chemphyschem : a European journal of chemical physics and physical chemistry · 2022Review
- Continuous spark plasma synthesis of Au/Co binary nanoparticles with tunable properties.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Gold/silver bimetallic nanoparticles still attract extensive interest due to their favorable properties e.g. in plasmonics or catalysis. We present here a facile and robust way for the production of clean Au/Ag binary nanoparticles (BNPs) with a total control over the composition via the spark discharge nanoparticle generation technique. With the application of pure Ag and Au electrodes, a tuning range of 55 to 90% Au content was achieved, but this can be further extended to the full 0 to 100% range by using a couple of alloyed electrodes. An added benefit of the approach is that either the concentration or the mean particle size can be kept constant at every composition by adjusting the generator parameters. Based on the systematic experimental data collected, a semi-empirical model for the prediction of the Au/Ag BNP composition was also developed. This model was used to calculate the theoretically achievable Au/Ag composition at a given spark parameter set in the parameter range most commonly used in the literature.
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Registered trials
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