3D-Printed Column with Porous Monolithic Packing for Online Solid-Phase Extraction of Multiple Trace Metals in Environmental Water Samples
3D-Printed Column with Porous Monolithic Packing for Online Solid-Phase Extraction of Multiple Trace Metals in Environmental Water Samples
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DOI：
10.1021/acs.analchem.0c00863
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发表时间：
2020-07-21
影响因子：
7.4
通讯作者：
Lin, Jou-Yu
中科院分区：
文献类型：
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作者：
Su, Cheng-Kuan;Lin, Jou-Yu
在这项研究中，我们使用多材料三维打印（3DP）技术和多孔复合丝（Lay-Fomm、Gel-Lay和Lay-Felt）来制造固相萃取（SPE）柱，用于增强多种金属离子的萃取。当用作自动流动注射分析/电感耦合等离子体质谱（ICP-MS）系统中的样品预处理装置时，这些3D打印的SPE柱在ICP-MS测定之前从天然水样中几乎完全提取Mn，Co，Ni，Cu，Zn，Cd和Pb离子。优化后的柱的制作，萃取条件，和自动分析系统，填充与多孔复合材料Lay-Fomm 40被认为是提供最高的萃取性能-所列的金属离子的萃取效率均大于99.2%，方法的检测限范围从0.3到6.7 ng L-1。这些金属离子在几个参考材料（卡斯-4，SLEW-3，1640 a，和1643 f）的检测验证了该方法的可靠性;采集的水样（地下水，河水和海水）的加标分析证明了该方法的适用性。打印材料的性质增强了3D打印样品预处理设备的分析性能。这种方法将有助于使3DP技术所能实现的样品制备方案和分析方法的范围多样化。
In this study, we used a multimaterial three-dimensional printing (3DP) technology and porous composite filaments (Lay-Fomm, Gel-Lay, and Lay-Felt) to fabricate solid phase extraction (SPE) columns for the enhanced extraction of multiple metal ions. When employed as sample pretreatment devices in an automatic flow injection analysis/inductively coupled plasma mass spectrometry (ICP-MS) system, these 3D-printed SPE columns performed the near-complete extractions of Mn, Co, Ni, Cu, Zn, Cd, and Pb ions from natural water samples prior to ICP-MS determination. After optimizing the column fabrication, the extraction conditions, and the automatic analysis system, the column packed with the porous composite Lay-Fomm 40 was found to provide the highest extraction performance-the extraction efficiencies of the listed metal ions were all greater than 99.2%, and the detection limits of the method ranged from 0.3 to 6.7 ng L-1. The detection of these metal ions in several reference materials (CASS-4, SLEW-3, 1640a, and 1643f) validated the reliability of this method; spike analyses of collected water samples (groundwater, river water, and seawater) demonstrated the applicability of the method. The nature of the printing materials enhanced the analytical performance of 3D-printed sample pretreatment devices. Such approaches will be useful to diversify the range of sample preparation schemes and analytical methods enabled by 3DP technologies.