通过合CO2的自动和矩阵无干扰酸定位与微等离子碳光学发射光谱仪产生蒸汽
Rui Yang1,2, Yubin Su2, Tian Ren2
1College of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu, Sichuan 610059, China.
Analytical chemistry
|November 15, 2023
概括
这项研究引入了一种自动酸定位方法,使用二氧化碳蒸汽生成和微型点放电光学发射光谱法 (μPD-OES). 该技术为复杂的环境样本提供精确,敏感和无矩阵干扰的分析.
科学领域:
- 分析化学 分析化学
- 环境科学 环境科学
- 光谱化学 光谱化学
背景情况:
- 传统的酸定位方法在复杂的样本 (如废水和土壤) 中受到干扰.
- 环境样本中的高颜色强度,盐度和度对准确分析构成重大挑战.
- 现有的定位仪器可能是复杂的,昂贵的,需要高功耗.
研究的目的:
- 开发一种精确,灵敏,无矩阵干扰的自动酸定位方法.
- 为了准确分析复杂环境矩阵中的离子 (OH-,CO3^2-,HCO3^-).
- 在具有挑战性的样本类型中克服传统定位方法的局限性.
主要方法:
- 将二氧化碳蒸汽生成与微型点放电光学发射光谱仪 (μPD-OES) 结合起来.
- 在化学蒸汽发生器中进行的酸定位,将CO2从样本矩阵中分离出来.
- 在193.0 nm使用μPD-OES检测二氧化碳的碳原子排放的监测.
主要成果:
- 基于消耗的HCl,准确和自动测量OH-,CO3^2-和HCO3-的含量.
- 证明了对二氧化碳检测的高灵敏度,相对标准偏差低于3.0%.
- 成功地减轻了染色废水,油田水和土壤等样本中颜色和度的干扰.
结论:
- 拟议的μPD-OES与二氧化碳蒸汽生成相结合,为复杂样品的酸定位提供了一个强大的方法.
- 与传统方法相比,该系统在准确性,简单性和成本效益方面具有优势.
- 显示了分析各种环境样本的有希望的潜力,包括污泥,沉积物和垃圾填埋场液.
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