乳腺癌
纳米技术
纳米材料
模板
DNA
人表皮生长因子受体2
材料科学
检出限
生物传感器
金属有机骨架
纳米结构
分子识别
癌症
组合化学
化学
分子
色谱法
生物化学
内科学
医学
有机化学
吸附
作者
Qizhi Liang,Qianxi Zhou,Hai Shi,Shuai Wu,Jiahua Yang,Tianyu Zeng,Jing Zhao,Yongmei Yin,Genxi Li
出处
期刊:Nano Today
[Elsevier]
日期:2024-01-03
卷期号:54: 102143-102143
被引量:6
标识
DOI:10.1016/j.nantod.2023.102143
摘要
The controllable assembly of metal-organic frameworks (MOFs) nanomaterials is an effective means to enhance their application capabilities. In this paper, a novel method is reported to control MOFs assembly by using a DNA framework material, a tetrahedral DNA nanostructure (TDN) labeled with phosphate groups at the vertex. In particular, various well-defined superstructures can be tailored by regulating the number of phosphate groups that coordinate with catalytic Zr-MOFs to create polymeric MOFs superstructures (Poly(MOFs)), exhibiting excellent catalytic activities and molecular recognition ability as well as greatly amplified signal readout. Furthermore, based on the DNA framework-controlled Poly(MOFs), a colorimetric biosensor with excellent analytical performance is fabricated for improving the diagnosis of human epidermal growth factor receptor 2 (HER2)-positive breast cancer. It is demonstrated that the quantification of HER2 protein can be achieved at molecular level with the limit of detection (LOD) of 12 pg L-1 and cellular level with the LOD of 10 cells. More importantly, the detection of HER2 in the serum of breast cancer patients have been achieved, thus HER2-positive and triple-negative breast cancer patients can be well distinguished. Considering the substitutability of the target, this study shows great potential in biomedical research as well as clinical applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI