在半导体制造中使用的强酸和基中ppb级金属的定量本地特异化
Po-Jui Su1, Will Leung1, Chih-Jung Shen1
1Department of Chemical Engineering, National United University, Miaoli, 360302, Taiwan, ROC.
Talanta
|March 5, 2025
概括
本研究引入了一种使用突破曲线 (BTC) 理论和ICP-MS来量化溶剂中的金属特异性的新方法,这对于半导体制造至关重要. 该技术可以准确识别微量金属物种,改善净化过程控制.
科学领域:
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 溶剂中的金属离子污染严重影响半导体产量,因为设备尺寸缩小.
- 在半导体制造中,精确控制金属度到10亿分之一 (ppb) 级别至关重要.
- 传统的特异化方法,如IC和UV-Vis光谱,对微量样本的准确性和适用性有局限性.
研究的目的:
- 开发和验证一种定量物种化方法,用于强酸和强的本地金属物种.
- 利用突破曲线 (BTC) 理论与感应合等离子体质谱法 (ICP-MS) 结合用于微金属分析.
- 为优化半导体行业的净化过程提供对金属规格的洞察力.
主要方法:
- 采用突破曲线 (BTC) 理论与感应合等离子体质谱法 (ICP-MS) 相结合.
- 研究的模型系统包括,,,,铁和铜在各种酸性和基本性溶液中.
- 利用离子交换和UV-Vis吸收光谱来证实物种化发现.
主要成果:
- 发现突破时间 (tBT) 受到金属电荷状态,结合选择性和竞争物种度的显著影响.
- 证明了Na (I) 和K (I) 的加速tBT与酸度的增加,表明有效的物种化在10ppb水平.
- 观察到铁和铜在胆氧化物中的独特物种转化,推断出阳离子铁复合物和中性铜颗粒.
结论:
- BTC理论-ICP-MS方法提供了一个强大的工具,用于在具有挑战性的矩阵中对微量金属的定量原生物种化.
- 这种方法为了解金属行为和优化半导体制造中的净化策略提供了关键数据.
- 该方法能够描述铜氧化物或氧化物颗粒等物种,有助于过程控制和产量改善.
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