作为结构相关化合物的确定工具的SERS:硫胺类抗生素的案例
Natalia E Markina1, Irina Yu Goryacheva1, Alexey V Markin1
1Institute of Chemistry, Saratov State University, Astrakhanskaya 83, 410012, Saratov, Russia.
Talanta
|June 20, 2024
概括
一种新的表面增强拉曼光谱 (SERS) 试验简化了尿液和唾液中的抗生素分析. 这种方法可以快速,准确地检测硫胺类抗生素的特定类别,用于治疗药物监测.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 纳米技术 纳米技术
背景情况:
- 传统的表面增强拉曼光谱 (SERS) 分析通常需要复杂的程序和专门的基板,限制其实际应用.
- 现有的SERS方法经常针对单个分析物进行优化,牺牲灵活性和简单性以获得灵敏度.
研究的目的:
- 开发一种通用和简单的SERS试验,用于结构相关抗生素的特定类别的确定.
- 为了快速准确地分析硫胺在复杂的生物矩阵,如人类的尿液和唾液.
主要方法:
- 使用标准的合银纳米颗粒作为SERS基质.
- 使用酸化和多二甲基化物 (PDDA) 作为协同激活剂来增强光谱信号和减少背景噪声.
- 开发了用于尿液和唾液分析的简化样品预处理协议.
主要成果:
- 实现了快速 (≤10分钟) SERS分析,对硫胺抗生素具有高光谱相似性和强度.
- 在人类尿液 (40-600微米) 和唾液 (10-30微米) 中精确和准确地确定硫胺的特定类别.
- 展示了PDDA在减少复杂生物流体背景信号方面的有效性.
结论:
- 开发的通用SERS试验提供了一种简单,快速和多用途的方法,用于对硫胺的治疗药物监测.
- 该研究强调了分析结构相关分析物的潜力,以推进分析化学中的SERS应用.
- 这种方法简化了用于复杂样本分析的SERS实现,提高了其实际实用性.
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