用于纳米粒子合成的自优化连续流水热反应器†

IF 3.1 3区化学 Q2 CHEMISTRY, MULTIDISCIPLINARY

Reaction Chemistry & Engineering Pub Date : 2025-01-09 DOI:10.1039/D4RE00339J

Cameron Jackson, Karen Robertson, Vitaliy Sechenyh, Thomas W. Chamberlain, Richard A. Bourne and Edward Lester

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引用次数: 0

摘要

提出了一种自主连续流水热合成反应器，能够使用在线表征技术和机器学习自优化纳米颗粒大小。开发的系统用于合成赤铁矿（α-Fe2O3）纳米颗粒，跨越三个工艺变量，优化目标粒度。优化在7小时内实现，仅使用500毫升0.1 M Fe(NO3)3·9H2O原液，无需人为干预。

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Self-optimising continuous-flow hydrothermal reactor for nanoparticle synthesis†

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Self-optimising continuous-flow hydrothermal reactor for nanoparticle synthesis†

An autonomous continuous-flow, hydrothermal synthesis reactor, capable of self-optimising nanoparticle size using an in-line characterisation technique and machine learning is presented. The developed system is used for synthesis of hematite (α-Fe₂O₃) nanoparticles across three process variables, optimising for a target particle size. Optimisation is achieved in under 7 h with only 500 ml of 0.1 M Fe(NO₃)₃·9H₂O aqueous stock solution used, and without human intervention.

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来源期刊

Reaction Chemistry & Engineering Chemistry-Chemistry (miscellaneous)

CiteScore

6.60

自引率

7.70%

发文量

227

期刊介绍： Reaction Chemistry & Engineering is a new journal reporting cutting edge research into all aspects of making molecules for the benefit of fundamental research, applied processes and wider society. From fundamental, molecular-level chemistry to large scale chemical production, Reaction Chemistry & Engineering brings together communities of chemists and chemical engineers working to ensure the crucial role of reaction chemistry in today’s world.