BIOMOPRO Research Data Collection

Abstract

This open access database compiles the research data from the BIOMOPRO coordinated project, funded by the Spanish Ministry of Science and Innovation (Title “Molecular probes engineered with photonic multifunction for advanced bio-medical applications”, Reference PID2020-114755GB-C3, Years 2021-2025), and developed by researchers from CSIC (Subproject 1, Reference PID2020-114755GB-C31), UCM (Subproject 2, Reference PID2020-114755GB-C32), and UPV/EHU (Subproject 3; Reference PID2020-114755GB-C33), in collaboration with early- and end-users from specialized Spanish and international research groups. The collected datasets are organized according to the main research outcomes achieved and include, among others, experimental and computational protocol data, equipment data, structural characterization data (e.g., ¹H and ¹³C NMR spectra, FTIR data, HRMS data, polarimetry data, and X-ray diffraction data of relevant compounds), UV-Vis-NIR spectroscopic data (e.g., steady-state absorption and emission spectra, time-delayed emission spectra, nanosecond and microsecond transient absorption spectra, electronic circular dichroism (ECD) spectra, and circularly polarized luminescence (CPL) spectra of relevant compounds in different media, concentrations and irradiation conditions), photophysical data (e.g., UV-Vis absorption, fluorescence, phosphorescence, and laser emission wavelengths, molar absorption coefficients, fluorescence and singlet oxygen quantum yields, fluorescence lifetimes, radiative and non-radiative deactivation rate constants, laser efficiencies, and dissymmetry g-factors of relevant compounds in different media, concentrations and irradiation conditions, along with detailed information on the spectroscopic techniques used), quantum mechanical calculation data (e.g.; computed molecular geometries and energies in the ground and excited states, electronic density maps of frontier orbitals, charge distribution maps, and simulated absorption spectra of relevant compounds, along with detailed information on the software and computational clusters used), and biological and biophotophysical data (e.g., cell uptake data, cell viability data under dark and non-dark conditions, bioimaging behaviour data using established and cutting-edge microscopy techniques, and phototheragnostic behaviour data).