Interaction studies of liver cancer biomarkers on black phosphorene sheets – a DFT outlook

FlatChem ◽  
2021 ◽  
pp. 100293
Author(s):  
V. Nagarajan ◽  
N. Srividya ◽  
R. Chandiramouli
2016 ◽  
Vol 16 (12) ◽  
pp. 4675-4682 ◽  
Author(s):  
Jingjing Wang ◽  
Yinfang Zhu ◽  
Xing Wang ◽  
Shuaipeng Wang ◽  
Jinling Yang ◽  
...  

RSC Advances ◽  
2018 ◽  
Vol 8 (72) ◽  
pp. 41143-41149 ◽  
Author(s):  
Chen-Feng Wang ◽  
Zhen-Guang Wang ◽  
Xin-Yue Sun ◽  
Meng-Jiao Chen ◽  
Yun-Kai Lv

A novel biosensing platform was developed by integrating a new ssDNA aptamer and graphene oxide (GO) for highly sensitive and selective detection of liver cancer biomarkers (AFP).


2013 ◽  
Vol 7 (11-12) ◽  
pp. 956-965 ◽  
Author(s):  
U. S. Dinish ◽  
Ghayathri Balasundaram ◽  
Young Tae Chang ◽  
Malini Olivo

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Wenjun Yang ◽  
Yunru Yu ◽  
Xin Shou ◽  
Dagan Zhang ◽  
Gaofeng Liang ◽  
...  

AbstractExosomes, as one type of extracellular vesicle derived from multiple cells, have much potential as cancer biomarkers in clinical applications, but their enrichment and detection remain a huge challenge. Herein, inspired by the burr-like structure of the hedgehog, we present a new nanoparticle with a nanoneedle-assembled shell and a magnetic core for the effective capture and detection of exosomes. The unique nanoneedle structures endowed the magnetic nanoparticles with a large surface area for antibody modification so that the nanoparticles could serve as a platform for efficient exosome capture. In addition, the controllable movement of exosome-combined nanoparticles, which is due to the magnetic iron oxide cores, provides tremendous convenience for separating exosomes. The practical value of these nanoparticles in exosome analyses of serum from healthy patients and patients with liver cancer has also been demonstrated. Thus, we believe that bioinspired hierarchical nanoparticles are promising for biomedical and clinical applications.


Author(s):  
Jingjing Wang ◽  
Shuaipeng Wang ◽  
Xing Wang ◽  
Yinfang Zhu ◽  
Jinling Yang ◽  
...  

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