Harnessing Graphdiyne for Selective Cu 2+ Detection: A Promising Tool for Parkinson's Disease Diagnostics and Pathogenesis.
Jing JiangXu WangYongqi BaoFangxu ShenGuo WangKai LiYu-Qing LinPublished in: ACS sensors (2024)
Cu 2+ accelerates the viral-like propagation of α-synuclein fibrils and plays a key role in the pathogenesis of Parkinson's disease (PD). Therefore, the accurate detection of Cu 2+ is essential for the diagnosis of PD and other neurological diseases. The Cu 2+ detection process is impeded by substances that have similar electrochemical properties. In this study, graphdiyne (GDY), a new kind of carbon allotrope with strong electron-donating ability, was utilized for the highly selective detection of Cu 2+ by taking advantage of its outstanding adsorption capacity for Cu 2+ . Density functional theory (DFT) calculations show that Cu atoms are adsorbed in the cavity of GDY, and the absorption energy between Cu and C atoms is higher than that of graphene (GR), indicating that the cavity of GDY is favorable for the adsorption of Cu atoms and electrochemical sensing. The GDY-based electrochemical sensor can effectively avoid the interference of amino acids, metal ions and neurotransmitters and has a high sensitivity of 9.77 μA·μM -1 ·cm -2 , with a minimum detectable concentration of 200 nM. During the investigating pathogenesis and therapeutic process of PD with α-synuclein as the diagnostic standard, the concentration of Cu 2+ in cells before and after L-DOPA and GSH treatments were examined, and it was found that Cu 2+ exhibits high potential as a biomarker for PD. This study not only harnesses the favorable adsorption of the GDY and Cu 2+ to improve the specificity of ion detection but also provide clues for deeper understanding of the role of Cu 2+ in neurobiology and neurological diseases.
Keyphrases
- aqueous solution
- density functional theory
- metal organic framework
- label free
- loop mediated isothermal amplification
- gold nanoparticles
- machine learning
- sars cov
- induced apoptosis
- brain injury
- cell proliferation
- amino acid
- big data
- subarachnoid hemorrhage
- molecularly imprinted
- mass spectrometry
- endoplasmic reticulum stress
- simultaneous determination
- fluorescent probe
- crystal structure
- deep learning
- solar cells