Electrochemical biosensor for cancer cell detection based on a surface 3D micro-array
Autor: | Yu Han, Tianchan Li, Peng Jin, Shaoqin Liu, Guangtong Wang, Li An |
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Rok vydání: | 2018 |
Předmět: |
Microarray
Biomedical Engineering Bioengineering Biosensing Techniques Cell Separation 02 engineering and technology 010402 general chemistry 01 natural sciences Biochemistry Limit of Detection Lab-On-A-Chip Devices Human Umbilical Vein Endothelial Cells medicine Humans Electrochemical biosensor In patient Chemistry Reproducibility of Results Substrate (chemistry) Cancer Equipment Design General Chemistry Micro array Neoplastic Cells Circulating 021001 nanoscience & nanotechnology medicine.disease 0104 chemical sciences A549 Cells Printing Three-Dimensional Cancer cell MCF-7 Cells Gold DNA microarray 0210 nano-technology Biomedical engineering |
Zdroj: | Lab on a Chip. 18:335-342 |
ISSN: | 1473-0189 1473-0197 |
DOI: | 10.1039/c7lc01117b |
Popis: | The detection of rare circulating tumour cells (CTCs) in patients' blood is crucial for the early diagnosis of cancer, highly precise cancer therapy and monitoring therapeutic outcomes in real time. In this study we have developed an efficient strategy to capture and detect CTCs from the blood of cancer patients using a benzoboric acid modified gold-plated polymeric substrate with a regular 3D surface array. Compared with the smooth substrate, the substrate with the surface 3D microarrays exhibited a higher capture efficiency, i.e. 3.8 times that afforded by the smooth substrate. Additionally, due to the reversible reaction between the benzoboric acid on the 3D microarray and the sialic acid on CTCs, our strategy allowed for easy detachment of the captured CTCs from the substrate without causing critical damage to the cells. This will be of benefit for gaining further access to these rare cells for downstream characterization. The proposed strategy provides several advantages, including enhanced capture efficiency, high sensitivity, low cost and recovery of isolated CTCs, and could become a promising platform for early stage diagnosis of cancer. |
Databáze: | OpenAIRE |
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