Hongchen Wang, Owen A. Meville, Harrison A. Mills, Monique Ngan, Jay R. Werber and Nipun Kumar Gupta
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引用次数: 0
Abstract
Flow chemistry has emerged as a powerful approach for high-throughput and automated synthesis workflows. However, downstream fraction collection remains a practical challenge: commercial systems are often expensive and difficult to integrate, while most low-cost or DIY alternatives lack compatibility with common organic solvents and real-time control. Here, we present a solvent-resistant, Python-controlled fraction collector built from low-cost, modular components (∼$1000). The system integrates programmable vial positioning and real-time volumetric monitoring to enable accurate, flow-independent fraction collection. Performance was validated across a range of flow rates (0.1–6 mL min−1) and viscosities (0.45–500 cP), with consistent droplet mass and high reproducibility. It also achieves high separation fidelity, with sharp fluid transitions and negligible carryover between fractions under both aqueous and organic conditions. This open-source platform offers a robust, integrable solution for automated flow synthesis and supports broader adoption of continuous, data-rich experimentation in organic chemistry.
流动化学已经成为高通量和自动化合成工作流程的一种强大方法。然而,下游馏分收集仍然是一个实际的挑战:商业系统通常昂贵且难以集成,而大多数低成本或DIY替代方案缺乏与普通有机溶剂的兼容性和实时控制。在这里,我们提出了一种耐溶剂,python控制的馏分收集器,由低成本的模块化组件(约1000美元)构建。该系统集成了可编程的小瓶定位和实时体积监测,以实现准确的、与流量无关的馏分收集。在流速(0.1-6 mL min - 1)和粘度(0.45-500 cP)范围内进行了性能验证,液滴质量一致,重现性高。它还实现了高分离保真度,在水和有机条件下,具有尖锐的流体过渡和可忽略不计的馏分之间的携带。这个开源平台为自动化流程合成提供了一个强大的、可集成的解决方案,并支持更广泛地采用连续的、数据丰富的有机化学实验。