文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

1 项目

设置提升方向
Cu2-xS/石墨烯
MICROCHIMICA ACTA · 2024 ·Vol. 191 ·期 10 ·1-11 · IF 5.3

Electrochemical sensor based on Cu2-xS/graphene heterostructures for sub-picomolar dopamine detection

Ai Ding,Yu Hao,Han Yuting,Chang Yuan,Ma Yanhao,Wu Chenglong,Liu Mengning,Zhu Yongsheng,Li Shengbin,Dong Chengye,Cheng Yonghong

Detecting dopamine (DA) in biological samples is vital to understand its crucial role in numerous physiological processes, such as motion, cognition, and reward stimulus. In this work, p-type graphene on sapphire, synthesized via chemical vapor deposition, serves as substrate for the preparation of p-type Cu 2-x S films through solid-phase sulfurization. The optimized Cu 2-x S/graphene heterostructure, prepared at 250 °C using a 15-nm copper film sulfurized for 2 h, exhibits superior electron transfer performance, ideal for electrochemical sensing. It is confirmed that the spontaneous charge transfer from graphene to Cu 2-x S, higher Cu(II)/Cu(I) ratio (~ 0.8), and the presence of well-defined nanocrystalline structures with an average size of ~ 35 nm in Cu 2-x S significantly contribute to the improved electron transfer of the heterostructure. The electrochemical sensor based on Cu 2-x S/graphene heterostructure demonstrates remarkable sensitivity towards DA, with a detection limit as low as 100 fM and a dynamic range greater than 10 9 from 100 fM to 100 μM. Additionally, it exhibits excellent selectivity even in the presence of uric acid and ascorbic acid 100 times higher, alongside notable storage and measurement stability and repeatability. Impressively, the sensor also proves capable of detecting DA concentrations as low as 100 pM in rat serum, showcasing its potential for clinically relevant analytes and promising applications in sensitive, selective, reliable, and efficient point-of-care diagnostics. Graphical Abstract

CAS / MDL: 506-32-1 69-93-2 51-61-6
研究领域: 生物医学工程 · 分析化学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。