The understanding and control of colloidal nanocrystal syntheses are essential for discovery and optimization of desired properties and therefore play a key role in the applications of these materials. Typical one variable at a time (OVAT) methods limit the ability of researchers to achieve such goals by providing one-dimensional insight into a complex, multidimensional experimental domain, wasting precious resources in the process. Design of experiments (DoE) in conjunction with response surface methodology (RSM) offers an accelerated route for multivariate investigation and optimization of nanocrystal syntheses. The method enables systematic analysis and multidimensional modeling of the independent and dependent effects that any number of factors have on chosen responses, resulting in easy optimization of a large synthetic space in a fraction of the experiments. Herein, we will outline the general steps to follow when utilizing DoE and RSM for screening and optimization of nanocrystal syntheses, as well as the background needed to appropriately design an investigation and understand the results.

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纳米晶体合成实验设计：正确实施的操作指南

了解和控制胶体纳米晶体的合成对于发现和优化所需特性至关重要，因此在这些材料的应用中起着关键作用。典型的一次一个变量 (OVAT) 方法通过提供对复杂、多维实验领域的一维洞察力来限制研究人员实现此类目标的能力，从而在该过程中浪费宝贵的资源。实验设计 (DoE) 与响应面方法 (RSM) 相结合，为纳米晶体合成的多变量研究和优化提供了一条加速途径。该方法可以对任意数量的因素对所选响应产生的独立和相关影响进行系统分析和多维建模，从而在一小部分实验中轻松优化大型合成空间。在此，我们将概述利用 DoE 和 RSM 筛选和优化纳米晶体合成时应遵循的一般步骤，以及适当设计调查和理解结果所需的背景。