使用无标签的SERS与简单的样本预处理相结合,在尿液中确定多种分析物
Natalia E Markina1, Alexey V Markin1
1Institute of Chemistry, Saratov State University, Astrakhanskaya 83, 410012, Saratov, Russia.
Analytica chimica acta
|November 23, 2024
概括
这项研究引入了一种新的无标签表面增强拉曼光谱 (SERS) 试验,用于分析尿液. 优化的样本制备克服了干扰,使复杂的生物样本中能够准确检测药物和肌素.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 生物医学分析 医学分析
背景情况:
- 无标签的表面增强拉曼光谱 (SERS) 在复杂的样本中面临挑战,因为分析剂对SERS活性表面的竞争.
- 这种竞争降低了分析选择性,需要复杂的样品预处理方法,如HPLC或TLC.
- 开发简化预处理对于生物流体高效的SERS分析至关重要.
研究的目的:
- 为无标签的SERS开发快速,简单的预处理步骤.
- 为了增强目标分析物合,并最大限度地减少复杂矩阵的干扰.
- 为了防止信号抑制和提高SERS测试性能.
主要方法:
- 优化样品预处理,包括稀释和pH调整.
- 开发一种无标签的SERS试验,用于同时检测多个分析剂.
- 使用复杂的生物矩阵 (尿液) 验证,具有治疗相关的分析物度.
主要成果:
- 一种新的无标签SERS试验成功开发,用于同时测定人体尿液中的甲醇,和肌素.
- 优化的预处理有效地减轻了复杂的样本矩阵和其他分析物的干扰.
- 该试验显示了高精度 (≤12% RSD) 和准确度 (88-111%的恢复) 在治疗相关范围内的分析物.
结论:
- 该研究介绍了一种用于体液分析的新型SERS试验,强调了解决竞争性吸附的关键作用.
- 实施管理竞争性吸附的策略对于最大限度地提高无标签SERS的选择性和准确性至关重要.
- 这种方法简化了分析程序,提高了基于SERS的诊断的可靠性.
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