Measurement of number-weighted particle size distribution for CMP slurry using nanoparticle chip

Jiaqing Zhu, Terutake Hayashi, Syuhei Kurokawa
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Abstract

Chemical mechanical polishing/planarization (CMP) slurry contains mainly abrasive grains (primary particles) with few aggregations (secondary particles). Measuring the particle size distribution (PSD) of CMP slurry is crucial for improving the productivity of the CMP process. For the quality management of CMP slurry, it is necessary to evaluate both the sizes and quantities of both the primary and secondary particles. Conventional PSD analysis methods, except for image analysis, face challenges in identifying primary and secondary particles for PSD measurements. For image analysis, the particles must be transferred from a suspension to a substrate using the conventional sampling method; however, this creates aggregates, resulting in a change in the PSD of the particles on the substrate compared to that in suspension under poly-dispersed conditions. Thus, this study proposed a novel particle sizing method using nanoparticle chip (NPC) to assist in the image analysis of the PSD. The NPC can pick up a single particle in a small volume droplet to avoid aggregation and maintain the poly-dispersed condition of the particles in suspension. The primary and secondary particles can be identified using scanning electron microscope (SEM) or atomic force microscope (AFM), and the PSD can be evaluated by measuring the area and height of the particles. Further, the quantities of both the primary and secondary particles can be counted from the substrate. This study presented a comparison of the diameter measurements using NPC and the conventional method. The results show that the NPC identified the primary and secondary particles and decreased the measurement error of the particle diameters. Consequently, the NPC proves to be superior to the conventional method for use in the PSD analysis of CMP slurry.

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利用纳米颗粒芯片测量 CMP 泥浆的数重粒度分布
化学机械抛光/平面化(CMP)浆料主要含有研磨颗粒(一次颗粒)和少量聚集颗粒(二次颗粒)。测量 CMP 泥浆的粒度分布 (PSD) 对于提高 CMP 工艺的生产率至关重要。为了对 CMP 泥浆进行质量管理,有必要对一次颗粒和二次颗粒的大小和数量进行评估。除图像分析外,传统的 PSD 分析方法在识别一次颗粒和二次颗粒以进行 PSD 测量方面面临挑战。要进行图像分析,必须使用传统的取样方法将颗粒从悬浮液转移到基底上;然而,这会产生聚集,导致基底上颗粒的 PSD 与多分散条件下悬浮液中的颗粒相比发生变化。因此,本研究提出了一种利用纳米颗粒芯片(NPC)辅助 PSD 图像分析的新型颗粒测定方法。纳米颗粒芯片可拾取小体积液滴中的单个颗粒,避免颗粒聚集,并保持悬浮液中颗粒的多分散状态。利用扫描电子显微镜(SEM)或原子力显微镜(AFM)可识别初级和次级粒子,并通过测量粒子的面积和高度来评估 PSD。此外,还可以从基底上计算一次粒子和二次粒子的数量。本研究对使用 NPC 和传统方法进行的直径测量进行了比较。结果表明,NPC 可以识别一级和二级颗粒,并降低了颗粒直径的测量误差。因此,在对 CMP 泥浆进行 PSD 分析时,NPC 被证明优于传统方法。
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