Peri-Decoration of a Tetraazaperylene with Urea Units: Chiral Octaazaperopyrenedioxides (OAPPDOs) and Their Optical and Chiroptical Properties.
Tobias WespTim BruckhoffHubert WadepohlLutz H GadePublished in: Chemistry (Weinheim an der Bergstrasse, Germany) (2022)
Octaazaperopyrenedioxides (OAPPDOs) are a new class of fluorescent polycyclic aromatic hydrocarbons based on a tetraazaperylene core that is formally condensed with N-substituted urea units in the two opposite peri positions. Here, we report the synthesis of series of substituted OAPPDO derivatives with different N-substitution patterns (H, alkyl, benzyl) in the peri positions, including bay-chlorinated OAPPDOs. Starting from the latter, a series of bay-arylated OAPPDOs was synthesized by Suzuki cross coupling, which resulted in the formation of helically chiral OAPPDO derivatives. The electrochemical and photophysical properties were investigated by UV/Vis and fluorescence spectroscopy as well as cyclic voltammetry. The P and M enantiomers of a phenylated OAPPDO were separated by semipreparative HPLC and further analyzed by CD spectroscopy. The frontier orbital energies, the mechanism of the isomerization, the electronic excitation and the CD spectrum (TD-DFT) were computed and compared to the experimental data. The reversible 1e - oxidation of the OAPPDOs generates the corresponding radical cations, one of which was characterized by EPR spectroscopy. The reversible oxidation process was also systematically investigated by spectro-electrochemistry.
Keyphrases
- polycyclic aromatic hydrocarbons
- ionic liquid
- single molecule
- high resolution
- atomic force microscopy
- molecular docking
- capillary electrophoresis
- living cells
- solid state
- ms ms
- density functional theory
- hydrogen peroxide
- mass spectrometry
- energy transfer
- gold nanoparticles
- high speed
- quantum dots
- tandem mass spectrometry
- electronic health record
- computed tomography
- simultaneous determination
- big data
- label free
- molecularly imprinted
- electron transfer
- magnetic resonance imaging
- nk cells
- magnetic resonance
- solid phase extraction
- deep learning
- diffusion weighted imaging
- data analysis
- artificial intelligence
- oxide nanoparticles