使用光谱化学分析技术和化学测量技术,区分正常和炎症血清样本
Rania M Abdelazeem1, Zienab Abdel-Salam2, Mohamed Abdel-Harith2
1Engineering Applications of Laser Department, National Institute of Laser Enhanced Science, Giza, 12613, Egypt. rabdelazeem@niles.cu.edu.eg.
Analytical and bioanalytical chemistry
|March 6, 2025
概括
激光诱导分解光谱 (LIBS) 和激光诱导光 (LIF) 提供了一种具有成本效益的,无标签的方法来检测血清中的炎症. 这些光谱化学技术成功地区分了正常和炎症样本.
科学领域:
- 频谱学是一种光谱学.
- 生物医学分析 医学分析
- 分析化学 分析化学
背景情况:
- 传统的用于炎症检测的临床分析仪昂贵,复杂,需要特定的标记物.
- 像LIBS和LIF这样的光谱化学技术提供了非破坏性的,无标签的分析替代方案.
研究的目的:
- 调查LIBS和LIF的应用,以便在正常和炎症血清样本之间进行无标签的歧视.
- 评估主要成分分析 (PCA) 和图形理论在使用光谱数据对血清样本进行分类时的有效性.
主要方法:
- 激光诱导分解光谱 (LIBS) 分析涉及 Nd:YAG 激光诱导的血排放从过纸上的血清.
- 激光诱导光 (LIF) 分析使用二极管固态激光激发血清在一个石英.
- 使用主要组件分析 (PCA) 和图形理论进行分类和集群的光谱数据分析.
主要成果:
- 使用前两个主要成分,PCA成功地分类了正常和炎症性血清样本,数据差异很高 (85.4%用于LIBS,92.8%用于LIF).
- 在集血清样本时,图形理论实现了高分类准确度 (LIBS为76%,LIF为100%).
- 这两种光谱化学方法都证明了正常和炎症血清样本之间的有效区分.
结论:
- LIBS和LIF是有效,快速和经济高效的光谱化学方法,用于在血清中无标签检测炎症.
- 这些技术为传统的临床分析仪提供了可行的替代方案,简化了实验室样本分析.
- 非破坏性和不需要特定标记物的性质使得LIBS和LIF在血清样本识别方面具有优势.
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