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Fourier Transform Infrared Spectroscopy Analysis as a Tool to Address Aβ Impact on Extracellular Vesicles.
Molecules
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Neuroscience and Signalling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal.
Alzheimer's disease is a challenge in modern healthcare due to its complex etiology and increasing prevalence. Despite advances, further understanding of Alzheimer's disease pathophysiology is needed, particularly the role of Aβ neurotoxic peptide. Fourier transform infrared spectroscopy (FTIR) has shown potential as a screening tool for several pathologies, including Alzheimer's disease.
View Article and Find Full Text PDFMachine learning empowered coherent Raman imaging and analysis for biomedical applications.
Commun Eng
January 2025
College of Biomedical Engineering & Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.
In situ and in vivo visualization and analysis of functional, endogenous biomolecules in living systems have generated a pivotal impact in our comprehension of biology and medicine. An increasingly adopted approach involves the utilization of molecular vibrational spectroscopy, which delivers notable advantages such as label-free imaging, high spectral density, high sensitivity, and molecule specificity. Nonetheless, analyzing and processing the intricate, multi-dimensional imaging data to extract interpretable and actionable information poses a fundamental obstacle.
View Article and Find Full Text PDFRaman Spectroscopic Probe Provides Optical Biomarkers of Cartilage Composition Predictive of Tissue Function.
Osteoarthritis Cartilage
January 2025
College of Engineering, Boston University, Boston, MA.
Objective: The diagnosis of early osteoarthritis when therapeutic interventions may be most effective at reversing cartilage degeneration presents a clinical challenge. We describe a Raman arthroscopic probe and spectral analysis that measures biomarkers reflective of the content of predominant cartilage ECM constituents-glycosaminoglycans (GAG), collagen, water-essential to cartilage function. We compare the capability of Raman-probe-derived biomarkers to predict functional properties of cartilage to quantitative MRI and histopathology assessments.
View Article and Find Full Text PDFImpact of accumulation of organic acids on the degradation of cellulose in historic paper.
Carbohydr Polym
March 2025
Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, 1000 Ljubljana, Slovenia. Electronic address:
The acidity of historic paper, a property crucial for its preservation, is thought to mainly depend on the type of sizing. However, this research shows that during its degradation, paper acidity increases mainly due to the formation of non-volatile carboxylic acids, which accelerate acid-catalysed hydrolysis. Whether and how this accumulation depends on paper composition has not been studied systematically so far.
View Article and Find Full Text PDFInteraction of normelinonine F and related N-methyl-β-carbolines derivatives with bovine serum albumin. Spectroscopic profiles, multivariate analysis and theoretical calculations.
Int J Biol Macromol
January 2025
Instituto Tecnológico de Chascomús (CONICET-UNSAM), Av. Intendente Marino Km 8.2, CC 164, B7130IWA Chascomús, Argentina; Escuela de Bio y Nanotecnologías (UNSAM), Argentina. Electronic address:
β-carbolines (βCs) represent a large family of bioactive alkaloids, including norharmane and normelinonine F, known for their diverse pharmacological activities. The effects of these alkaloids may depend, among other factors, on their delivery, accumulation in different subcellular compartments, and interactions with biomacromolecules such as serum albumins. In this study, we investigated the pH dependence of the interactions between bovine serum albumin (BSA) and four βCs (norharmane, normelinonine F, and their corresponding N(9)-methyl derivatives) using UV-vis and fluorescence spectroscopy, combined with multivariate analysis and molecular docking.
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