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Use of feedback system control in optimizing chemical combinations to synthesize nanoparticles with desired characteristics

机译：使用反馈系统控制来优化化学组合以合成具有所需特性的纳米颗粒

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Nanoparticles (NPs) have found extensive applications in biological diagnosis as well as new energy and chemical devices. One of the major routes to fabricate NPs is chemical synthesis under specifically controlled conditions, when surfactants are often added during or immediately after precipitation. However, interactions between multiple surfactants and reactants could be extremely complicated. Therefore, identifying the optimal formula of multiple chemicals to synthesize NPs with desired characteristics is a daunting task. In this study, we applied an experimental feedback system control (FSC) method and rapidly identified optimal chemical combinations that synthesize silver iodide (AgI) NPs with a target size of 10 nm by only testing less than 0.5% of the total possible chemical combinations. The FSC approach allows rapid optimization of combinatorial chemicals without the requirement of a complete understanding of the underlying chemical interactions. The method introduced here, with slight modification, could be easily applied for other NPs synthesis scenarios.
机译：纳米颗粒（NPs）已在生物学诊断以及新能源和化学设备中得到广泛应用。制备NP的主要途径之一是在特定控制的条件下进行化学合成，通常在沉淀过程中或沉淀后立即添加表面活性剂。但是，多种表面活性剂和反应物之间的相互作用可能极其复杂。因此，确定多种化学物质的最佳配方以合成具有所需特性的NP是一项艰巨的任务。在这项研究中，我们应用了实验反馈系统控制（FSC）方法，并通过仅测试少于0.5％的总可能化学组合物，快速确定了可合成目标尺寸为10 nm的碘化银（AgI）NP的最佳化学组合物。 FSC方法允许快速优化组合化学物质，而无需完全了解潜在的化学相互作用。此处介绍的方法，稍加修改，即可轻松应用于其他NP合成方案。

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