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首页> 外文期刊>Analytical chemistry >Direct Multielement Analysis of Polydisperse Microparticles by Classification-Single-Particle ICP-OES in the Field of Lithium-Ion Battery Electrode Materials
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Direct Multielement Analysis of Polydisperse Microparticles by Classification-Single-Particle ICP-OES in the Field of Lithium-Ion Battery Electrode Materials

机译:通过分类 - 单粒子ICP-OES在锂离子电池电极材料领域进行直接多元素分析

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摘要

The chemical and structural complexity of lithium-ion battery electrodes and their constituting materials requires comprehensive characterization techniques to reveal degradation phenomena at the mesoscale. For the first time, application of single-particle inductively coupled plasma-optical emission spectroscopy enables the investigation of the chemomechanical interplay on the particle level of lithium transition-metal oxide [e.g., Li(Ni1/3Co1/3Mn1/3)O-2] cathode materials. The sampleinherent polydisperse size distribution of particles ranging up to 10 mu m was effectively restricted with the use of a custom-made gravitational-counter-flow classifier to facilitate complete particle vaporization and excitation. After classification, the particles were transported directly to the plasma by means of an argon flow to prevent chemical alterations in aqueous media due to potentially occurring Li+-H+ exchange reactions. The size-separated particles were monitored online by flow cell particle analysis (FPA). The influence of different gas flow settings and plasma parameters on the peak emission intensity of Li and Mn was evaluated. A particle size detection limit of similar to 0.5 mu m was estimated based on the 3 sigma criterion of the baselines and the measured peak intensities for Li and Mn considering the particle size distribution as obtained by FPA. The corresponding analyte masses at the detection limits were similar to 30 and similar to 180 fg for Li and Mn, respectively. Furthermore, an approach for a matrix-matched external calibration with electrochemically delithiated lithium transition-metal oxides is presented.
机译:锂离子电池电极及其组成材料的化学和结构复杂,需要综合表征技术来揭示中尺度的降解现象。首次应用单粒子感应耦合等离子体光发射光谱技术研究了锂过渡金属氧化物(例如Li(Ni1/3Co1/3Mn1/3)O-2)阴极材料粒子水平上的化学机械相互作用。通过使用定制的重力逆流分级机,有效限制了高达10μm的颗粒固有的多分散粒径分布,以促进颗粒的完全蒸发和激发。分级后,通过氩气流将颗粒直接输送至等离子体,以防止水介质中由于可能发生的Li+-H+交换反应而发生化学变化。通过流动细胞颗粒分析(FPA)在线监测分离颗粒的大小。研究了不同气体流量和等离子体参数对锂和锰峰值发射强度的影响。根据基线的3西格玛标准和Li和Mn的测量峰值强度,考虑到FPA获得的粒度分布,估算了类似于0.5μm的粒度检测限。对于Li和Mn,检测限下的相应分析物质量分别类似于30和180 fg。此外,还提出了一种利用电化学脱硫锂过渡金属氧化物进行矩阵匹配外部校准的方法。

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