从天然气加工厂的固体废物中对的形态分析:优化温度规划的分解和脱落方法
Shengji Wu1, Guiyuan Hu1, Yutao Shen2
1College of Engineering, Huzhou University, No. 759, East 2nd Road, Huzhou, 313000, China. wei_yang15@hotmail.com.
Analytical methods : advancing methods and applications
|September 10, 2024
概括
在天然气工厂固体废物中确定物种对于净化和回收至关重要. 一种优化的EPA 3200方法与温度编程分解和脱落 (TPDD) 相结合,成功识别了多种化合物.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 废物管理 废物管理
背景情况:
- 天然气加工固体废物中的污染给环境和回收带来了挑战.
- 精确确定物种对于有效的废物净化和资源回收至关重要.
- 现有的方法,如温度编程分解和脱落 (TPDD),与复杂的废物矩阵和相似的脱落温度作斗争.
研究的目的:
- 优化TPDD方法,使用EPA 3200协议,在固体废物中精确地进行分类.
- 为了识别和量化废弃吸附剂和天然气工厂的污泥中的化合物.
- 评估优化回收和分析方法的有效性.
主要方法:
- 应用EPA 3200方法来完善TPDD过程.
- 在固体废物样本中分析物种,包括废弃吸附剂和污泥.
- 利用特定化合物的指纹来根据脱吸温度识别.
主要成果:
- 优化的EPA 3200-TPDD方法成功地分离了具有相似溶解温度的物种.
- 在消耗的吸附剂中发现的化合物包括Hg0/M-Hg合金,HgS(黑色) 和HgO(红色),其中HgS(黑色) 主导.
- 污泥分析显示Hg0/M-Hg合金,HgCl2 (小),HgS (黑),HgO (黄色) 和HgS (红).
- 回收率在73%至120%之间.
结论:
- 以EPA 3200方法优化的TPDD工艺是确定固体废物中的化合物的高效技术.
- 这种方法可以准确的半量化和特异化,促进更好的废物管理策略.
- 这些发现支持在污染和回收计划中使用这种优化方法.
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