Suppr超能文献

用于生物学研究的含硫化合物X射线吸收近边结构参考库:来自索拉里斯国家同步辐射中心ASTRA光束线的现状报告

XANES reference library of sulphur-containing compounds for biological research: a status report from the ASTRA beamline at the SOLARIS National Synchrotron Radiation Centre.

作者信息

Klonecka Agnieszka, Sławek Joanna, Gazdowicz Grzegorz, Maximenko Alexey, Sławek Andrzej, Piszak Marcel, Lichtenberg Henning, Kozak Maciej

机构信息

SOLARIS National Synchrotron Radiation Centre Kraków Poland

The Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University Kraków Poland.

出版信息

RSC Adv. 2025 Apr 28;15(17):13513-13524. doi: 10.1039/d5ra00682a. eCollection 2025 Apr 22.

Abstract

Sulphur is present in a vast multitude of biological compounds, and X-ray absorption spectroscopy (XAS) is a powerful and well-established characterization technique to study the local atomic environment of this chemical element in such systems in detail, with a high potential for advancing knowledge in medicine, biotechnology and environmental research. For this project, X-ray absorption near edge structure (XANES) spectroscopy at the sulphur K-absorption edge was used to investigate sulphur-containing compounds of biological interest at the ASTRA beamline (SOLARIS National Synchrotron Radiation Centre, Kraków, Poland). XANES provides valuable insights into the bonding environment of sulphur and thereby contributes to a deeper understanding of the structural characteristics and functional roles of sulphur in biological systems. The ASTRA beamline, specifically optimized for XAS in the tender energy range, offers ideal conditions for further research in this field, enabling detailed analysis of the composition and changes in sulphur containing compounds.

摘要

硫存在于大量生物化合物中,而X射线吸收光谱法(XAS)是一种强大且成熟的表征技术,可详细研究该化学元素在这类体系中的局部原子环境,在推进医学、生物技术和环境研究知识方面具有很高潜力。对于本项目,利用硫K吸收边的X射线吸收近边结构(XANES)光谱,在ASTRA光束线(波兰克拉科夫索拉里斯国家同步辐射中心)研究具有生物学意义的含硫化合物。XANES能为硫的键合环境提供有价值的见解,从而有助于更深入理解硫在生物体系中的结构特征和功能作用。ASTRA光束线在软X射线能量范围内针对XAS进行了专门优化,为该领域的进一步研究提供了理想条件,能够对含硫化合物的组成和变化进行详细分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b0e/12035811/984624fe7963/d5ra00682a-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验