Europium, terbium, dysprosium, and samarium are the main trivalent lanthanide ions emitting in the visible spectrum. In this work, the potential of these ions for colorimetric applications and colour reproduction was studied. The conversion of spectral data to colour coordinates was undertaken for three sets of Ln complexes composed of different ligands. We showed that Eu is the most sensitive of the visible Ln ions, regarding ligand-induced colour shifts, due to its hypersensitive transition. Further investigation on the spectral bandwidth of the emission detector, on the wavelengths' accuracy, on the instrumental correction function, and on the use of incorrect intensity units confirm that the instrumental correction function is the most important spectrophotometric parameter to take into account in order to produce accurate colour values. Finally, we established and discussed the entire colour range (gamut) that can be generated by combining a red-emitting Eu complex with a green-emitting Tb complex and a blue fluorescent compound. The importance of choosing a proper white point is demonstrated. The potential of using different sets of complexes with different spectral fingerprints in order to obtain metameric colours suitable for anti-counterfeiting is also highlighted. This work answers many questions that could arise during a colorimetric analysis of luminescent probes.
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http://dx.doi.org/10.3390/molecules25174022 | DOI Listing |
Sci Rep
January 2025
Colloid Chemistry, Department of Chemistry, University of Konstanz, Universitaetsstrasse 10, 78464, Konstanz, Germany.
Complex structures can be understood as compositions of smaller, more basic elements. The characterization of these structures requires an analysis of their constituents and their spatial configuration. Examples can be found in systems as diverse as galaxies, alloys, living tissues, cells, and even nanoparticles.
View Article and Find Full Text PDFBehav Res Methods
January 2025
Department of Sport and Health Sciences, University of Potsdam, Potsdam, Germany.
We introduce a sentence corpus with eye-movement data in traditional Chinese (TC), based on the original Beijing Sentence Corpus (BSC) in simplified Chinese (SC). The most noticeable difference between TC and SC character sets is their visual complexity. There are reaction time corpora in isolated TC character/word lexical decision and naming tasks.
View Article and Find Full Text PDFJ Clin Exp Dent
December 2024
DDS. Titular Professor. Universidad de Antioquia U de A, Medellín, Colombia. Biomedical Stomatology Research Group, Universidad de Antioquia U de A, Medellín, Colombia.
Background: The RTK-VEGF4 receptor family, which includes VEGFR-1, VEGFR-2, and VEGFR-3, plays a crucial role in tissue regeneration by promoting angiogenesis, the formation of new blood vessels, and recruiting stem cells and immune cells. Machine learning, particularly graph neural networks (GNNs), has shown high accuracy in predicting these interactions. This study aims to predict drug-gene interactions of the RTK-VEGF4 receptor family in periodontal regeneration using graph neural networks.
View Article and Find Full Text PDFPLoS One
January 2025
College of Educational Science, Faculty of Humanities and Educational Sciences, An-Najah National University, Nablus, Palestine.
This article investigates burnout among lawyers and proposes systemic changes to reduce pressure and stress in the legal profession while enhancing resilience among lawyers. The article focuses on factors influencing career continuity among Palestinian lawyers within a socio-politically complex environment. It discusses elements contributing to resilience, including a positive mindset, a strong support system, training, and social support.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Background: Molecular tumor boards (MTBs) play a pivotal role in personalized oncology, leveraging complex data sets to tailor therapy for cancer patients. The integration of digital support and visualization tools is essential in this rapidly evolving field facing fast-growing data and changing clinical processes. This study addresses the gap in understanding the evolution of software and visualization needs within MTBs and evaluates the current state of digital support.
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