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Updated: Jan 14, 2026

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A Continuous-flow Photocatalytic Reactor for the Precisely Controlled Deposition of Metallic Nanoparticles
Published on: April 10, 2019
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High-throughput synthesis of multi-element alloy nanoparticles using solvothermal continuous-flow reactor
Megumi Mukoyoshi1, Kohei Kusada1,2, Xin Zhou1
1Division of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-ku, Kyoto 606-8502, Japan. mukoyoshi@ssc.kuchem.kyoto-u.ac.jp.
Faraday Discussions
|October 27, 2025
Summary
We developed an automated system for rapid synthesis of multi-element alloy nanoparticles (MEA NPs). This high-throughput platform accelerates materials discovery by preparing up to 20 unique samples in just 30 minutes per run.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Engineering
Background:
- High-throughput synthesis of multi-element alloy nanoparticles (MEA NPs) is crucial for discovering advanced materials.
- Existing methods often lack the speed and control needed for complex alloy compositions.
Purpose of the Study:
- To develop an automated continuous-flow reactor system for synthesizing a diverse range of MEA NPs.
- To achieve high screening throughput and accelerate materials discovery.
Main Methods:
- Utilized a continuous-flow reactor system operating under controlled solvothermal conditions (up to 400 °C and 35 MPa).
- Implemented parallel process execution for concurrent precursor preparation and system cleaning.
- Automated all washing procedures to minimize downtime.
Main Results:
- Successfully synthesized a wide variety of crystalline, single-phase face-centred cubic solid solution MEA NPs, including high-entropy alloys.
- Demonstrated a screening throughput of up to 20 distinct samples per 30-minute automated run.
- Achieved a theoretical production rate of 0.5 g/h for supported MEA catalysts (e.g., RuRhPdIrPt/CeO2).
Conclusions:
- The developed system is scalable and versatile for high-throughput MEA NPs synthesis.
- It provides a practical solution for bridging computational predictions and experimental materials development.
- The automated platform significantly accelerates the discovery of novel advanced materials.

