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Abstract：
Response Surface Methodology (RSM) is a widely used mathematical tool for process optimization, setting their main factorial variables. The current research analyzes and summarizes the current knowledge about the RSM in the extraction of carotenoids from fruit and vegetable by-products, following a systematic review protocol (Prisma 2020 Statement). After an identification of manuscripts in Web of Science (September 2023) using inclusion search terms (\"carotenoids\", \"extraction\", \"response-surface methodology\", \"ultrasound\", \"microwave\" and \"enzyme\"), they were screened by titles and abstracts. Finally, 29 manuscripts were selected according to the PRISMA methodology (an evidence-based minimum set of items for reporting in systematic reviews), then, 16 questions related to the quality criteria developed by authors were applied. All studies were classified as having an acceptable level of quality criteria (≤50% \"yes answers\"), with four of them reaching a moderate level (>50 to ≤70% \"yes answers\"). No studies were cataloged as complete (>70% \"yes answers\"). Most studies are mainly focused on ultrasound-assisted extraction, which has been widely developed compared to microwave or enzymatic-assisted extractions. Most evidence shows that it is important to provide information when RSM is applied, such as the rationale for selecting a particular design, the specification of input variables and their potential levels, a discussion on the statistical model\'s validity, and an explanation of the optimization procedure. In addition, the principles of open science, specifically data availability, should be included in future scientific manuscripts related to RSM and revalorization.
摘要：
响应面法(RSM)是一种广泛使用的过程优化数学工具，设置它们的主要阶乘变量。当前的研究分析和总结了当前有关RSM在从果蔬副产品中提取类胡萝卜素的知识，遵循系统审查协议(Prisma2020声明)。在WebofScience（2023年9月）中使用包含搜索词（“类胡萝卜素”，\"提取\",“响应面方法”，\"超声波\",“微波”和“酶”)，他们通过标题和摘要进行筛选。最后,根据PRISMA方法（以证据为基础的最小项目集，用于系统审查）选择了29份手稿，然后,应用了与作者制定的质量标准相关的16个问题。所有研究均被归类为具有可接受的质量标准水平（≤50％“是答案”），其中四个达到中等水平(>50%至≤70%“是答案”)。没有研究被编目为完整的（>70%“是答案”）。大多数研究主要集中在超声辅助提取，与微波或酶辅助提取相比，已被广泛开发。大多数证据表明，在应用RSM时提供信息很重要，例如选择特定设计的理由，输入变量及其潜在水平的规范，关于统计模型有效性的讨论，以及优化过程的解释。此外,开放科学的原则，特别是数据可用性，应包括在与RSM和再评价相关的未来科学手稿中。
