This study presents a sustainable approach to extracting hydrogen fluoride (HF) from wastewater using hollow fiber membrane contactors. HF, a widely used yet hazardous chemical, requires efficient separation techniques due to its environmental and health concerns. Our research compared two operational modes, vacuum mode and liquid–liquid extraction mode, revealing the latter as more efficient for HF separation. Notably, this study introduces a novel aspect by employing a data-driven decision-making method, Bayesian optimization (BO) for process optimization of the liquid–liquid extraction mode, aiming to maximize HF removal efficiency at low experimental costs. Subsequent validation through a 96-h experimental run confirms the suitability of the optimized conditions for industrial applications. This study not only demonstrates an efficient HF separation process using hollow fiber membrane contactors but also establishes a new standard for complex industrial process optimization.

中文翻译：

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借助主动学习，使用中空纤维膜接触器高效萃取氟化氢


本研究提出了一种使用中空纤维膜接触器从废水中提取氟化氢 (HF) 的可持续方法。 HF 是一种广泛使用但危险的化学品，由于其环境和健康问题，需要有效的分离技术。我们的研究比较了两种操作模式：真空模式和液液萃取模式，表明后者对于 HF 分离更有效。值得注意的是，本研究引入了一个新颖的方面，采用数据驱动的决策方法，即贝叶斯优化（BO）来优化液液萃取模式的工艺，旨在以较低的实验成本最大化HF去除效率。随后通过 96 小时的实验运行进行验证，确认了优化条件对于工业应用的适用性。这项研究不仅展示了使用中空纤维膜接触器的高效 HF 分离工艺，而且还为复杂的工业工艺优化建立了新标准。