Yang Zhenglin, Farrell Annie, Pradhan Shreestika, Zhang Karen Huilin, Guo Weijie, Wu Yuting, Shao Xiangli, Roy Aritra, Garcia Elijah S, Lu Yi
Department of Chemistry, University of Texas at Austin, Austin, TX, 78712, USA.
Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.
Angew Chem Int Ed Engl. 2025 Jan 10;64(2):e202413118. doi: 10.1002/anie.202413118. Epub 2024 Nov 29.
The global demand for lithium has soared in recent years due to the wide use of lithium batteries. To meet this demand, we herein report developing novel on-site sample preparation methods for the extraction of Li from relevant materials, including brine water, spodumene rock, as well as lithium-ion battery electrodes, and a DNAzyme-based fluorescent sensor for sensitive and robust detection of Li in these samples down to 1.4 mM (10 ppm) using a portable fluorometer. The system can distinguish key threshold lithium levels that indicate economic value across several industries, including 200 ppm Li for brine mining, 6 % LiO or SC6 for rock mining, and Li-specific aging in LIBs. The methods developed and demonstrated in this work will allow highly selective, on-site, portable detection of lithium in both environmental samples to identify new lithium resources and in battery electrodes to guide recycling strategies in order to meet the global demand for lithium.
近年来，由于锂电池的广泛应用，全球对锂的需求飙升。为满足这一需求，我们在此报告开发了新型现场样品制备方法，用于从相关材料中提取锂，这些材料包括卤水、锂辉石以及锂离子电池电极，还开发了一种基于DNAzyme的荧光传感器，使用便携式荧光计可对这些样品中的锂进行灵敏且可靠的检测，检测下限低至1.4 mM（10 ppm）。该系统能够区分几个行业中表明经济价值的关键锂含量阈值，包括卤水开采中200 ppm的锂、岩石开采中6%的LiO或SC6以及锂离子电池中锂特定的老化情况。这项工作中开发并展示的方法将能够对环境样品中的锂进行高选择性、现场、便携式检测，以识别新的锂资源，同时也能对电池电极中的锂进行检测，从而指导回收策略，以满足全球对锂的需求。
