Jong Kwang Lee*, Hong-Joo Ahn, Tae-Hyeong Kim, Jungbo Yoo and Hwan Seo Park,
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Owing to the rapid flow-transfer and stop approach, OpenPrep achieves higher reagent delivery accuracy and precision compared to ISO 8655–2 piston-operated pipettes, by minimizing liquid residue on the dispensing tip. Sensor-driven flow control ensures precise eluent collection and automatic regulation of the mobile-phase flow rate through an online calibration algorithm, meeting all the requirements for accurate and reproducible column flow control. OpenPrep features an open architecture for both hardware and software, offering high flexibility for analyzing samples with considerable variations in radioactivity and matrix compositions, such as radioactive waste. The proof-of-concept implementation of a multistage sequential separation strategy, using five resin columns to separate Re, Sr, Fe, and Ni from a single sample, demonstrates that OpenPrep provides enhanced flexibility and reconfigurability, improved operational efficiency, and cost-effective customization. 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引用次数: 0
摘要
我们提出了一种传感器事件驱动的开放式色谱柱样品制备系统─OpenPrep。该系统用非接触式内置传感器取代了存在问题的流量选择阀,消除了泵驱动色谱系统中常见的携带和堵塞问题。创新的无阀柱流设计与紧凑型龙门分配器和基于运动阶段的馏分收集器相结合,将样品流路减少为一次性组件,柱后死体积仅为 0.5 毫升。这种配置优于传统的动态流动系统,因为它能最大限度地减少样品消耗、洗脱液损失和清洗废物的产生。因此,OpenPrep 是防止交叉污染的理想选择。与 ISO 8655-2 活塞式移液器相比,OpenPrep 采用快速流动转移和停止方法,最大限度地减少了分液尖端的液体残留,从而实现了更高的试剂输送准确度和精确度。传感器驱动的流量控制可确保精确的洗脱液收集,并通过在线校准算法自动调节流动相流速,从而满足精确、可重现的色谱柱流量控制的所有要求。OpenPrep 的硬件和软件均采用开放式架构,为分析放射性和基质成分差异较大的样品(如放射性废物)提供了高度灵活性。使用五根树脂柱从单一样品中分离出 Re、Sr、Fe 和 Ni 的多级顺序分离策略的概念验证实施表明,OpenPrep 提供了更高的灵活性和可重新配置性,提高了操作效率,并实现了具有成本效益的定制。在流速比重力法快三倍的情况下,Re、Sr 和 Ni 的化学产率达到 83-97%,相对标准偏差小于 2.6%。此外,与重力流相比,采用较慢的流速可提高铁的回收率。
OpenPrep: Sensor Event-driven Open Column Chromatographic Sample Preparation System
We propose a sensor event-driven, open-column chromatographic sample preparation system─OpenPrep. This system replaces the problematic flow selector valve with a noncontact built-in sensor, eliminating carryover and clogging issues, which are commonly encountered in pump-driven chromatographic systems. The innovative valveless column-flow design, combined with a compact gantry dispenser and motion stage-based fraction collector, reduces the sample flow path to a disposable component with a postcolumn dead volume of only 0.5 mL. This configuration is superior to conventional dynamic flow systems owing to its ability to minimize sample consumption, eluent loss, and cleaning waste generation. Thus, OpenPrep can be ideal for preventing cross-contamination. Owing to the rapid flow-transfer and stop approach, OpenPrep achieves higher reagent delivery accuracy and precision compared to ISO 8655–2 piston-operated pipettes, by minimizing liquid residue on the dispensing tip. Sensor-driven flow control ensures precise eluent collection and automatic regulation of the mobile-phase flow rate through an online calibration algorithm, meeting all the requirements for accurate and reproducible column flow control. OpenPrep features an open architecture for both hardware and software, offering high flexibility for analyzing samples with considerable variations in radioactivity and matrix compositions, such as radioactive waste. The proof-of-concept implementation of a multistage sequential separation strategy, using five resin columns to separate Re, Sr, Fe, and Ni from a single sample, demonstrates that OpenPrep provides enhanced flexibility and reconfigurability, improved operational efficiency, and cost-effective customization. Excellent chemical yields were obtained for Re, Sr, and Ni in the range of 83–97%, with less than 2.6% relative standard deviation at a flow rate three times faster than the gravity method. Additionally, improved recovery performance of Fe was achieved by applying a slower flow rate compared to gravity flow.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.