在环境样本中直接检测织品染料的LDI和MALDIFT-ICRMSMS
Rafiqul Alam1,2, Raisul Awal Mahmood1, Dede Heri Yuli Yanto3,4
1Department of Chemistry, Kyungpook National University, Daegu 41566, Republic of Korea.
Analytical chemistry
|July 31, 2025
概括
一种使用激光/矩阵辅助脱/电离的新型直接方法 - - 里埃转换离子旋共振质谱 (LDI/MALDI FT-ICR MS) - - 能够在水样中快速识别织品染料,并且需要最少的准备.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 质谱测量质量谱测量
背景情况:
- 染料污染是一个重要的环境问题,特别是在缺乏先进分析能力的发展中国家.
- 现有的染料分析方法,如高分辨率质谱法,涉及昂贵的国际样本运输和复杂的程序.
- 直接,低容量和无制剂的分析方法对于高效的环境染料监测至关重要.
研究的目的:
- 开发和验证一种直接的,无制剂的方法,用于识别环境水样中的织染料化合物.
- 为标准染料化合物建立一个全面的质谱 (MS) 和MS/MS数据库.
- 评估该方法在分析现实环境样本,特别是来自印度尼西亚的河水中的有效性.
主要方法:
- 使用激光消化/电离 (LDI) 和矩阵辅助激光消化/电离 (MALDI) 结合富里埃变换离子旋回子共振质谱法 (FT-ICR MS).
- 开发了58种标准染料化合物的数据库,其中包括MS和MS/MS碎片化数据.
- 分析了2μL未经处理的环境水样本,不需要预先准备样本.
主要成果:
- 通过使用LDI和MALDI技术,成功地证明了难以分析的染料的电离.
- 通过与构建的数据库对比,在印度尼西亚洛吉河的水样中确定了12种不同的染料化合物.
- 与之前的液态染色法-FT-ICR MS (LC-FT-ICR MS) 分析相比,LDI/MALDI FT-ICR MS方法确定了7种新型染料,显示出增强的灵敏度和特异性.
结论:
- 开发的LDI/MALDI FT-ICR MS方法提供了显著的优势,包括最小的样本消耗,快速分析和消除样本准备.
- 这种技术是有效监测染料污染环境的强大工具.
- 创建染料识别数据库是一个重要的科学贡献,使全球环境监测更有效.
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