拉曼光谱中的文物和异常:关于起源和纠正程序的审查
Ravi Teja Vulchi1, Volodymyr Morgunov1, Rajendhar Junjuri1
1Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany.
Molecules (Basel, Switzerland)
|October 16, 2024
概括
本综述检查了拉曼光谱测量中的文物,详细介绍了它们的起源和影响. 它对校正方法进行了分类,包括计算,实验和深度学习方法,以改进光谱分析.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 材料科学 材料科学 材料科学
背景情况:
- 拉曼光谱提供分子指纹,但易受人工制造物的影响.
- 仪器,采样和与样本相关的因素引入了影响光谱数据的异常.
- 准确的光谱分析对于工业和学术应用至关重要.
研究的目的:
- 审查拉曼光谱学中文物的起源和影响.
- 为了对拉曼光谱异常进行现有校正程序进行分类和介绍.
- 为了确定局限性,并强调光谱校正技术的进步.
主要方法:
- 关于文物起源和影响的全面文献综述.
- 纠正程序的分类:计算,实验和深度学习 (DL).
- 分析当前的局限性和最近在校正方法的突破.
主要成果:
- 详细讨论导致拉曼光谱工件的因素.
- 一个结构化的综述各种人工物纠正策略.
- 识别基于DL的新兴方法,以提高光谱精度.
结论:
- 目前的校正程序有局限性,需要进一步研究.
- 最近的进展表明,改善拉曼光谱数据质量是有前途的.
- 未来的研究应该专注于开发强大而高效的校正技术.
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