Structural Basis of Polydopamine Film Formation: Probing 5,6-Dihydroxyindole-Based Eumelanin Type Units and the Porphyrin Issue.
Maria L AlfieriRaffaella MicilloLucia PanzellaOrlando CrescenziStefano Luigi OscuratoPasqualino MaddalenaAlessandra NapolitanoVincent BallMarco d'IschiaPublished in: ACS applied materials & interfaces (2017)
The role of 5,6-dihydroxyindole (DHI)-based oligomers, including porphyrin-like tetramers, in polydopamine (PDA) film formation was addressed by a comparative structural investigation against model polymers from DHI and its 2,7'-dimer. MALDI-MS data showed that (a) PDA is structurally different from DHI melanin and does not contain species compatible with DHI-based oligomers as primary building blocks; (b) PDA films and precipitate display a single main peak at m/ z 402 in common; (c) no species matching the range of m/ z values expected for cyclic porphyrin-type tetramers was detected in DHI melanin produced in the presence or in the absence of folic acid (FA) as templating agent, nor by oxidation of the 2,7'-dimer of DHI as putative precursor. 15N NMR resonances and Raman spectra predicted by extensive DFT calculations on porphyrin-type structures at various oxidation levels did not match spectral data for PDA or DHI melanin. Notably, unlike PDA, which gave structurally homogeneous films on quartz on atomic force microscopy (AFM) and micro-Raman spectroscopy, DHI melanin did not form any adhesive deposit after as long as 24 h. It is concluded that PDA film deposition involves structural components unrelated to DHI-based oligomers or porphyrin-type tetramers, which, on mechanism-based analysis, may arise by quinone-amine conjugation leading to polycyclic systems with extensive chain breakdown.
Keyphrases
- photodynamic therapy
- atomic force microscopy
- raman spectroscopy
- room temperature
- electron transfer
- mass spectrometry
- metal organic framework
- density functional theory
- high speed
- high resolution
- energy transfer
- hydrogen peroxide
- electronic health record
- molecular dynamics simulations
- reduced graphene oxide
- magnetic resonance imaging
- molecular dynamics
- computed tomography
- nitric oxide
- magnetic resonance
- machine learning
- deep learning
- ms ms
- ionic liquid
- monte carlo