目的 基于裂区实验设计优化羊栖菜Sargassum fusiforme的水提工艺参数，得到适用于不同批次的稳健设计空间。方法 提出一种羊栖菜水提新工艺，采用热水提取除去杂质，煎煮提取获得较高质量分数的岩藻多糖和海藻酸。以热水提取温度、提取时间、液固比、热水提取次数、煎煮提取次数和药材批次为考察参数，岩藻多糖产率、岩藻多糖质量分数、海藻酸产率和海藻酸质量分数为提取工艺评价指标，利用Design-Expert 13软件，裂区实验设计筛选关键工艺参数，通过Monte Carlo算法计算出基于风险的设计空间，优化工艺参数，并进行验证。结果 优化所得条件为热水提取次数为2，煎煮提取次数为3，提取温度在75～90 ℃，液固比在15～21 mL/g，提取时间在22.43～30.00 min。结论 提出的水提新工艺避免使用了乙醇等有机溶剂，绿色环保；优化所得设计空间能够确保适用于研究范围内的多批次药材，有利于获得更稳健的操作参数范围。

Objective Based on split-plot experimental design, the process parameters of water extraction of Yangqicai (Sargassum fusiforme, SF) were optimized, and the robust design space for different batches was obtained. Methods This study proposed a novel water extraction process for SF where hot water was first used to eliminate impurities, followed by decoction to obtain higher purity fucoidin and alginic acid. The extraction parameters investigated included the extraction temperature of hot water, extraction time, liquid-to-solid ratio, time of hot water extraction, time of decoction extraction, and batch of SF. The evaluation indicators for the extraction process were the yield of polysaccharides, the mass fraction of polysaccharides, the yield of alginic acid, and the mass fraction of alginic acid. Using Design-Expert 13, a split-plot experimental design was employed to screen key process parameters. The risk-based design space was calculated through the Monte Carlo algorithm to optimize the process parameters and validate it subsequently. Results The optimized conditions were as follows: the extraction times of hot water were two, the extraction times of decocting were three, the extraction temperature was 75—90 ℃, the liquid-solid ratio was 15—21 mL/g, and the extraction time was 22.43—30.00 min. Conclusion The proposed new water extraction process avoided the use of organic solvents such as ethanol, making it environmentally friendly. The optimized design space can ensure that it is suitable for multiple batches of medicinal materials within the research scope, and can obtain a more robust range of operating parameters.

R283.6

国家中医药管理局创新团队与人才培养计划（ZYYCXTD-D-202002）；浙江省高层次人才特殊支持计划（ZJWR0108035）；技术开发委托合同（XH-2022-KYC-210000-0001）