Modeling and optimization of the ratio of fluorophores: a step towards enhancing the sensitivity of ratiometric probes
Authors (first, second and last of 5)
Collection
From quantum dots to carbon dots and beyond: synthesis, characterization and (bio)analytical applications
This Topical Collection seeks to capture the extensive and impressive research activities within the field of fluorescent dots. Articles addressing applications in (bio)analytical sciences (including but not limited to sensing, in vitro diagnostics, cellular and in vivo imaging, and drug delivery and theragnostic), the development of analytical tools for characterization of nanomaterials and their bioconjugates as well as toxicological studies of such nanomaterials are welcome.
The collection is dedicated to the recipients of the Nobel Prize in Chemistry 2023 for the discovery and development of quantum dots, which have produced a profound impact in different areas of analytical chemistry during the last decades.
Editors
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Constantine D. Stalikas
Constantine Stalikas is a full Professor of Analytical Chemistry in the Department of Chemistry, University of Ioannina, Greece. His research focuses on sample preparation, chromatographic separations, carbon dot-based fluorescent probes and metabolomic studies. He has co-authored more than 130 articles, reviews, book chapters. Since 1919, he is Associate Editor in Microchimica Acta.
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Jose M Costa-Fernandez
Jose M Costa-Fernandez is a full Professor of Analytical Chemistry at the University of Oviedo, Spain, and is the coordinator of the Research Group "Analytical and Bioanalytical Spectrometry". His actual research interests are focused in the synthesis of multifunctional nanomaterials for bioanalytical applications and the use of elemental mass spectrometry for inorganic nanomaterials characterization. He is co-author of over 160 scientific publications.
Articles (3 in this collection)
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Development of a FRET aptasensor based on MoS2-doped Zn-MOF as luminophore for selective detection of cadmium in aqueous solutions
Authors (first, second and last of 6)
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Cardiovascular disease risk assessment through sensing the circulating microbiome with perovskite quantum dots leveraging deep learning models for bacterial species selection
Authors (first, second and last of 9)
