首页> 外文会议>Annual Semiconductor Pure Water and Chemicals Conference: UPW Track >Determination Of Organic Acids And Inorganic Anions In Semiconductor-Industry Water
【24h】

Determination Of Organic Acids And Inorganic Anions In Semiconductor-Industry Water

机译:半导体 - 工业水中有机酸和无机阴离子的测定

获取原文

摘要

Compared with traditional water-usage and water-discharge systems, treating semiconductor-industry reclaim water for reuse is more cost-effective and can produce a higher-quality product. There is less wear-and-tear on processing equipment, since reclaim water is typically cleaner than city water. Additionally, some municipalities are beginning to restrict water usage, resulting in a practical need for reprocessing procedures. However, knowing what contaminants are in the reclaim water is necessary for the efficient development of a repurification program. The organic contamination in water-purification process systems typically has been evaluated solely via total-organic-carbon (TOC) monitoring. These inline monitors can measure values sub-ppb and provide information on the overall "health" of the DIW system. However, with the advent of water reuse, this "bulk-property" number is not sufficient, and more details on the identity and level of each constituent are desired. A step in this direction has been the introduction of liquid chromatography coupled with organic-carbon detection (LC-OCD), a technique developed by Stefan Huber. This analysis provides quantitative information of classes of organics (e.g., humics, organic acids, polysaccharides) at sub-ppm levels. In some situations, identities and amounts of specific compounds are needed. One class of compounds that is of growing interest is organic acids (e.g., acetic, formic, lactic, oxalic). Water-purification systems can tolerate high levels of these ionizable organics, but not neutral species such as alcohols and ketones. Knowing which species are present lets the water-system owner know exactly what will be sent to the equipment. To help address this situation, a rapid ion-chromatographic method has been developed to quantify eight organic acids (as well as seven common anions) that typically are seen in reclaim waters. Calibration results, detection the sample was reanalyzed to identify and quantify the various component(s). This second analysis is shown in Figure 6. Both acetate and formate were found to be present, at 1 ± 1 ppb for acetate and 5 ± 2 ppb, respectively; the uncertainties are at the 95% confidence level. Another example is the analysis of a point-of-use (POU) sample. The chromatogram (front-end portion) for the ppt-level-anion screen is shown in Figure 7. The organic-acid analysis revealed the presence of three organic acids: acetate, formate, and propionate (see Figure 8). Concentrations were 15 ± 1 ppb, 44 ± 20 ppb, and 2 ± 1 ppb, respectively (confidence level = 95%). It should be noted that the sample had to be diluted 1-to-10 in order to quantify formate, since its concentration exceeded the upper limit (i.e., 32 ppb) of the calibration curve. Consequently, the uncertainty had to be multiplied by the dilution factor of ten.
机译:与传统的水使用和排水系统相比,处理半导体工业的回收水以再利用更具成本效益,并且可以产生更高质量的产品。加工设备上的磨损较少,因为收集水通常比城市水更清洁。此外,一些市政当局开始限制水资料,导致实际需要进行再加工程序。然而,了解污染物在回收水中是有效的恢复计划的有效发展所必需的。水净化过程系统中的有机污染通常仅通过全部有机碳(TOC)监测来评估。这些内联显示器可以测量值子PPB,并提供有关DIW系统的整体“健康”的信息。然而,随着水再利用的出现,这种“散装性”数量不足,需要更多关于每个成分的身份和水平的更多细节。沿着该方向的一步一直是引入液相色谱,耦合有机碳检测(LC-OCD),这是由Stefan Huber开发的技术。该分析提供了亚ppm水平的有机物(例如,腐殖质,有机酸,多糖)的量化信息。在某些情况下,需要特定化合物的身份和数量。一类生长兴趣的化合物是有机酸(例如醋酸,甲型,乳酸,草酸)。净水系统可耐受高水平的这些可电离有机物,但不是中性物种,如醇和酮。知道存在哪些物种让水系统所有者确切地知道将发送到设备的内容。为了帮助解决这种情况,已经开发了一种快速的离子色谱法来量化通常在回收水中看到的八种有机酸(以及七种常见阴离子)。校准结果,检测样品重新分析以识别和量化各种组分。第二分析如图6所示。发现醋酸酯和甲酸酯,分别为1±1ppb,分别为5±2 ppb;不确定性处于95%的置信水平。另一个例子是分析使用点(POU)样本。 PPT型阴离子筛网的色谱图(前端部分)如图7所示。有机酸分析显示出三种有机酸的存在:乙酸盐,甲酸盐和丙酸盐(参见图8)。浓度分别为15±1 ppb,44±20 ppb和2±1 ppb(置信水平= 95%)。应当注意,样品必须稀释1至10次以定量甲酸酯,因为其浓度超过校准曲线的上限(即32 ppb)。因此,不确定程度必须乘以十个稀释因子。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号