This review presents applications of response surface methodology (RSM) when mixture experiments are involved for the optimization in the field of analytical methods development. Several critical issues such as sort of designs, modeling with least squares or artificial neural networks, and multiple response optimization are discussed. The results of a literature survey of the works reported up to 2019 are presented. Finally, an illustrative example providing the necessary information to carry out this kind of work is discussed. A list of the most popular software available to apply RSM is also presented.

中文翻译：

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混合实验在响应面方法实施中在分析方法开发中的应用

本综述介绍了响应面法 (RSM) 在涉及混合实验以优化分析方法开发领域时的应用。讨论了几个关键问题，例如设计种类、使用最小二乘法或人工神经网络建模以及多响应优化。介绍了截至 2019 年报告的作品的文献调查结果。最后，讨论了一个说明性示例，该示例提供了执行此类工作所需的信息。还提供了可用于应用 RSM 的最流行软件的列表。