Surowka Artur D, Czyzycki Mateusz, Ziomber-Lisiak Agata, Migliori Alessandro, Szczerbowska-Boruchowska Magdalena
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. A. Mickiewicza 30, Krakow 30-059, Poland.
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. A. Mickiewicza 30, Krakow 30-059, Poland; Laboratory for Applications of Synchrotron Radiation, Karlsruhe Institute of Technology, Kaiser Str. 12, Karlsruhe 76131, Germany; Nuclear Science and Instrumentation Laboratory, International Atomic Energy Agency (IAEA) Laboratories, Seibersdorf, Austria.
Ultramicroscopy. 2022 Jan;232:113408. doi: 10.1016/j.ultramic.2021.113408. Epub 2021 Oct 14.
Correlative Fourier Transform Infra-Red (FTIR) and hard X-Ray Fluorescence (XRF) microscopy studies of thin biological samples have recently evolved as complementary methods for biochemical fingerprinting of animal/human tissues. These are seen particularly useful for tracking the mechanisms of neurological diseases, i.e., in Alzheimer/Parkinson disease, in the brain where mishandling of trace metals (Fe, Cu, Zn) seems to be often associated with ongoing damage to molecular components via, among others, oxidative/reductive stress neurotoxicity. Despite substantial progress in state-of-the-art detection and data analysis methods, combined FTIR-XRF experiments have never benefited from correlation and co-localization analysis of molecular moieties and chemical elements, respectively. We here propose for the first time a completely novel data analysis pipeline, utilizing the idea of 2D correlation spectrometry for brain tissue analysis. In this paper, we utilized combined benchtop FTIR - synchrotron XRF mapping experiments on thin brain samples mounted on polypropylene membranes. By implementing our recently developed Multiple Linear Regression Multi-Reference (MLR-MR) algorithm, along with advanced image processing, artifact-free 2D FTIR-XRF spectra could be obtained by mitigating the impact of spectral artifacts, such as Etalon fringes and mild scattering Mie-like signatures, in the FTIR data. We demonstrated that the method is a powerful tool for co-localizing and correlating molecular arrangements and chemical elements (and vice versa) using visually attractive 2D correlograms. Moreover, the methods' applicability for fostering the identification of distinct (biological) materials, involving chemical elements and molecular arrangements, is also shown. Taken together, the 2D FTIR-XRF method opens up for new measures for in-situ investigating hidden complex biochemical correlations, and yet unraveled mechanisms in a biological sample. This step seems crucial for developing new strategies for facilitating the research on the interaction of metals/nonmetals with organic components. This is particularly important for enhancing our understanding of the diseases associated with metal/nonmetal mishandling.
对薄生物样品进行的相关傅里叶变换红外(FTIR)和硬X射线荧光(XRF)显微镜研究,最近已发展成为对动物/人体组织进行生化指纹识别的互补方法。这些方法在追踪神经疾病机制方面特别有用,例如在阿尔茨海默病/帕金森病中,在大脑中,微量金属(铁、铜、锌)处理不当似乎常常与分子成分的持续损伤有关,其中包括氧化/还原应激神经毒性。尽管在先进的检测和数据分析方法方面取得了重大进展,但FTIR-XRF联合实验从未受益于分子部分和化学元素的相关性和共定位分析。我们在此首次提出一种全新的数据分析流程,利用二维相关光谱法的理念进行脑组织分析。在本文中,我们对安装在聚丙烯膜上的薄脑样品进行了台式FTIR - 同步加速器XRF联合映射实验。通过实施我们最近开发的多元线性回归多参考(MLR-MR)算法,以及先进的图像处理,通过减轻光谱伪像(如埃洛干涉条纹和类似米氏散射的微弱信号)对FTIR数据的影响,可以获得无伪像的二维FTIR-XRF光谱。我们证明,该方法是一种强大的工具,可通过视觉上吸引人的二维相关图对分子排列和化学元素进行共定位和关联(反之亦然)。此外,还展示了该方法在促进识别涉及化学元素和分子排列的不同(生物)材料方面的适用性。综上所述,二维FTIR-XRF方法为原位研究隐藏的复杂生化相关性以及生物样品中尚未阐明的机制开辟了新途径。这一步骤对于制定促进金属/非金属与有机成分相互作用研究的新策略似乎至关重要。这对于加深我们对与金属/非金属处理不当相关疾病的理解尤为重要。