Harnessing Graphdiyne for Selective Cu2+ Detection: A Promising Tool for Parkinson’s Disease Diagnostics and Pathogenesis

吸附 发病机制 电化学 金属 密度泛函理论 离子 石墨烯 水溶液中的金属离子 材料科学 选择性 碳纤维 化学 纳米技术 物理化学 计算化学 电极 生物化学 有机化学 生物 催化作用 复合材料 复合数 免疫学
作者
Jing Jiang,Xu Wang,Yongqi Bao,Fangxu Shen,Guo Wang,Kai Li,Yuqing Lin
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:9 (5): 2317-2324 被引量:11
标识
DOI:10.1021/acssensors.4c00633
摘要

Cu2+ 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 Cu2+ is essential for the diagnosis of PD and other neurological diseases. The Cu2+ 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 Cu2+ by taking advantage of its outstanding adsorption capacity for Cu2+. 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 Cu2+ in cells before and after L-DOPA and GSH treatments were examined, and it was found that Cu2+ exhibits high potential as a biomarker for PD. This study not only harnesses the favorable adsorption of the GDY and Cu2+ to improve the specificity of ion detection but also provide clues for deeper understanding of the role of Cu2+ in neurobiology and neurological diseases.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
MAXDONE完成签到,获得积分10
刚刚
我是老大应助EASA采纳,获得10
刚刚
刚刚
刚刚
刚刚
整齐乌发布了新的文献求助10
1秒前
脑洞疼应助愉快的莹采纳,获得10
1秒前
1秒前
1秒前
2秒前
Angora发布了新的文献求助10
2秒前
2秒前
3秒前
non发布了新的文献求助10
3秒前
明理鱼完成签到,获得积分10
4秒前
4秒前
123完成签到,获得积分10
4秒前
4秒前
Akim应助LiliHe采纳,获得10
5秒前
Kelly1426发布了新的文献求助10
5秒前
zpeng发布了新的文献求助10
5秒前
科研通AI2S应助群山采纳,获得10
6秒前
retr0关注了科研通微信公众号
6秒前
132发布了新的文献求助10
6秒前
6秒前
风中乘风发布了新的文献求助30
6秒前
7秒前
7秒前
7秒前
7秒前
科研通AI6应助jian采纳,获得10
7秒前
ypg666666发布了新的文献求助10
7秒前
宋宋宋2完成签到,获得积分10
8秒前
别翘二郎腿完成签到,获得积分10
8秒前
8秒前
8秒前
9秒前
9秒前
小蘑菇应助Angora采纳,获得10
9秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5718656
求助须知:如何正确求助?哪些是违规求助? 5253667
关于积分的说明 15286658
捐赠科研通 4868722
什么是DOI,文献DOI怎么找? 2614394
邀请新用户注册赠送积分活动 1564266
关于科研通互助平台的介绍 1521785