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
SnO2-ZnO复合物
CHEMICAL ENGINEERING JOURNAL · 2023 · IF 15.1

Facile engineering of metal–organic framework derived SnO2-ZnO composite based gas sensor toward superior acetone sensing performance

Hui Zhang,Shisong Guo,Wenjun Zheng,Haichao Wang,Hua-Yao Li,Mei-Hui Yu,Ze Chang,Xian-He Bu,Huan Liu

Aiming to achieve high-sensitivity disease diagnosis, it is of great significance to continuously improve the sensing performance of metal oxide based sensors. The morphology and component of metal oxides can be rationally engineered by using metal–organic frameworks as highly versatile platforms. Herein, the bimetallic Sn/Zn-ZIF-8 is synthesized by self-assembly, and then SnO 2 -ZnO hollow nanoparticles are obtained by using bimetallic Sn/Zn-ZIF-8 as precursor. The obtained SnO 2 -ZnO composite maintained the dodecahedral structure of Sn/Zn-ZIF-8, and in which SnO 2 is orthogonal due to the framework-induced effect. Based on the unique structure and composition of SnO 2 -ZnO, 6% SnO 2 -ZnO exhibits excellent selectivity, high response, low detection limit (0.82 ppb) and good response linearity between response and concentration of acetone, showing the potential of the practical application in clinical diagnosis of diabetic patients. In-depth discussions reveal that the excellent sensing performance can be attributed to the n-n heterostructure of SnO 2 -ZnO that is favorable for electron transport, the larger adsorption energy to acetone that results from orthogonal SnO 2 , and the abundant active reaction sites provided by the dodecahedral mesoporous structure. This synthetic strategy may provide an effective method for the facile engineering of high-performances metal oxide-based sensors toward practical health assessment.

CAS / MDL: 10196-18-6 10025-69-1
研究领域: 材料科学 · 医学诊断 · 传感器技术
✓ 已验证 产品关联 DOI 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。