定量表面增强拉曼光谱:挑战,战略和前景
Zhixuan Lu1, Jun Wang2, Sen Yan2
1Xiamen Key Laboratory of Optoelectronic Materials and Advanced Manufacturing, Institute of Luminescent Materials and Information Displays, College of Materials Science and Engineering, Huaqiao University, Xiamen 361021, China.
Molecules (Basel, Switzerland)
|January 10, 2026
概括
表面增强拉曼光谱 (SERS) 提供了敏感的,具体的分析,但在可靠的量化方面面临挑战. 标准化指标和人工智能等新策略正在为其在诊断和法医中常规使用铺平道路.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 表面增强拉曼光谱 (SERS) 提供高灵敏度,分子特异性和速度.
- 它有可能用于负担得起的,便携式应用程序,如床边诊断和法医分析.
- 由于在实现可靠的定量测量方面存在挑战,SERS仍然是专业化的.
研究的目的:
- 总结SERS定量测量的挑战.
- 详细介绍改善SERS可靠性和量化的现代策略.
- 探索将SERS整合到常规分析实践中的未来前景.
主要方法:
- 对信号变化和矩阵干扰的基本挑战的审查.
- 讨论标准化绩效指标策略,包括SERS绩效因子.
- 探索先进的量化方法 (内部标准化,数字SERS) 和样品预处理.
主要成果:
- 确定信号变化和矩阵干扰是定量SERS的关键障碍.
- 强调了标准化绩效指标和新型量化方法的重要性.
- 强调了人工智能和深层组织传感对SERS进步的潜力.
结论:
- 解决基质异质性和样本复杂性对于定量SERS至关重要.
- 标准化,先进量化和人工智能是克服当前局限性的关键.
- 随着进一步的发展,SERS准备在分析化学中得到更广泛的采用.
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