Unimolecular Chiral Stepping Inversion Machine.
Yonghui SunLijuan LiuLinnan JiangYong ChenHengyue ZhangXiufang XuYu LiuPublished in: Journal of the American Chemical Society (2023)
Intelligent molecular machines that are driven by light, electricity, and temperature have attracted considerable interest in the fields of chemistry, materials, and biology. Herein, a unimolecular chiral stepping inversion molecular machine (SIMM) was constructed by a coupling reaction between dibromo pillar[5]arene and a tetrathiafulvalene (TTF) derivative (PT3 and PT5). Compared with the longer aliphatic linker PT5, PT3 with a shorter aliphatic linker shows chiral stepping inversion, achieving chiral inversion under a two-electron redox potential. Benefiting from the successive reversible two-electron redox potential of TTF, the self-exclusion and self-inclusion conformational transformations of SIMM can proceed in two steps under redox, leading to the chirality step inversion in the pillar[5]arene core. Electrochemical experiments and circular dichroism (CD) spectra show that the redox processes can cause SIMM CD signaling to reversibly switch. More importantly, as the oxidant Fe(ClO 4 ) 3 was increased from 0.1 to 1 equiv, the CD spectral signal of SIMM disappeared at 1 equiv, and further addition of Fe(ClO 4 ) 3 resulted in the CD signal reversed from positive to negative at 309 nm, indicating that the chirality was reversed after chemical oxidation and reached a negative maximum with the addition of 2 equiv Fe(ClO 4 ) 3 ; thus, redox-triggered chiral stepping inversion was achieved. Furthermore, the chiral inversion can be restored to its original state after the addition of 2 equiv of reducing agent, sodium ascorbate. This work demonstrates unimolecular chiral stepping inversion, providing a new perspective on stimulus-responsive chirality in molecular machines.
Keyphrases
- contrast enhanced
- electron transfer
- capillary electrophoresis
- ionic liquid
- magnetic resonance imaging
- mass spectrometry
- deep learning
- single molecule
- magnetic resonance
- molecular dynamics
- hydrogen peroxide
- nk cells
- machine learning
- room temperature
- optical coherence tomography
- climate change
- density functional theory
- visible light
- human health
- dual energy