On 2D-FTIR-XRF microscopy - A step forward correlative tissue studies by infrared and hard X-ray radiation.


Journal

Ultramicroscopy
ISSN: 1879-2723
Titre abrégé: Ultramicroscopy
Pays: Netherlands
ID NLM: 7513702

Informations de publication

Date de publication:
01 2022
Historique:
received: 23 06 2021
revised: 14 09 2021
accepted: 03 10 2021
pubmed: 28 10 2021
medline: 25 3 2022
entrez: 27 10 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34706307
pii: S0304-3991(21)00186-8
doi: 10.1016/j.ultramic.2021.113408
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

113408

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Auteurs

Artur D Surowka (AD)

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. A. Mickiewicza 30, Krakow 30-059, Poland. Electronic address: asurowka@agh.edu.pl.

Mateusz Czyzycki (M)

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.

Agata Ziomber-Lisiak (A)

Department of Pathophysiology, Jagiellonian University, Medical College, Czysta 18, Krakow 31-121, Poland.

Alessandro Migliori (A)

Nuclear Science and Instrumentation Laboratory, International Atomic Energy Agency (IAEA) Laboratories, Seibersdorf, Austria.

Magdalena Szczerbowska-Boruchowska (M)

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. A. Mickiewicza 30, Krakow 30-059, Poland.

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Classifications MeSH