arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1602.02083cond-mat.mtrl-sci
收藏

拉曼光谱技术在有机物分子鉴定中的应用

Genome-inspired molecular identification in organic matter via Raman spectroscopy

Yun Liu, Nicola Ferralis, L. Taras Bryndzia, Jeffrey C. Grossman

摘要:

快速,非破坏性的表征有机物(OM)的分子水平的化学是具有挑战性的实验。拉曼光谱是用于非破坏性化学表征的最广泛使用的技术之一,尽管由于衍射有限的空间分辨率和峰拟合算法的适用性差,拉曼光谱目前不能提供OM中分子组分的详细鉴定。在这里,我们开发了一个基因组启发的集体分子结构指纹的方法,它利用从头计算和数据挖掘技术提取分子水平的化学从拉曼光谱的OM。我们通过识别OM中的代表性分子指纹来说明这种方法的力量,对于OM,分子化学迄今为止无法使用非破坏性表征技术。化学性质,如芳香族簇尺寸分布和H/C比,现在可以直接使用识别的分子指纹进行量化。我们的方法将使非破坏性的识别化学签名与他们的相关性,保存OM中的生物签名,准确检测和量化的环境污染,以及客观评估OM相对于其化学含量。

英文摘要:

Rapid, non-destructive characterization of molecular level chemistry for organic matter (OM) is experimentally challenging. Raman spectroscopy is one of the most widely used techniques for non-destructive chemical characterization, although it currently does not provide detailed identification of molecular components in OM, due to the combination of diffraction-limited spatial resolution and poor applicability of peak-fitting algorithms. Here, we develop a genome-inspired collective molecular structure fingerprinting approach, which utilizes ab initio calculations and data mining techniques to extract molecular level chemistry from the Raman spectra of OM. We illustrate the power of such an approach by identifying representative molecular fingerprints in OM, for which the molecular chemistry is to date inaccessible using non-destructive characterization techniques. Chemical properties such as aromatic cluster size distribution and H/C ratio can now be quantified directly using the identified molecular fingerprints. Our approach will enable non-destructive identification of chemical signatures with their correlation to the preservation of biosignatures in OM, accurate detection and quantification of environmental contamination, as well as objective assessment of OM with respect to their chemical contents.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑