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Visual Quantitative Detection of Circulating Tumor Cells with Single-Cell Sensitivity Using a Portable Microfluidic Device
- Source :
- Small (Weinheim an der Bergstrasse, Germany). 15(14)
- Publication Year :
- 2018
-
Abstract
- Immunocytological technologies, molecular technologies, and functional assays are widely used for detecting circulating tumor cells (CTCs) after enrichment from patients' blood sample. Unfortunately, accessibility to these technologies is limited due to the need for sophisticated instrumentation and skilled operators. Portable microfluidic devices have become attractive tools for expanding the access and efficiency of detection beyond hospitals to sites near the patient. Herein, a volumetric bar chart chip (V-Chip) is developed as a portable platform for CTC detection. The target CTCs are labeled with aptamer-conjugated nanoparticles (ACNPs) and analyzed by V-Chip through quantifying the byproduct (oxygen) of the catalytic reaction between ACNPs and hydrogen peroxide, which results in the movement of an ink bar to a concentration-dependent distance for visual quantitative readout. Thus, the CTC number is decoded into visually quantifiable information and a linear correlation can be found between the distance moved by the ink and number of cells in the sample. This method is sensitive enough that a single cell can be detected. Furthermore, the clinical capabilities of this system are demonstrated for quantitative CTC detection in the presence of a high leukocyte background. This portable detection method shows great potential for quantification of rare cells with single-cell sensitivity for various applications.
- Subjects :
- Computer science
Microfluidics
Metal Nanoparticles
02 engineering and technology
010402 general chemistry
01 natural sciences
Catalysis
Biomaterials
Circulating tumor cell
Cell Line, Tumor
Leukocytes
Humans
General Materials Science
Platinum
Cell sensitivity
General Chemistry
Aptamers, Nucleotide
021001 nanoscience & nanotechnology
Chip
Neoplastic Cells, Circulating
0104 chemical sciences
Linear correlation
Single-Cell Analysis
0210 nano-technology
Biotechnology
Biomedical engineering
Subjects
Details
- ISSN :
- 16136829
- Volume :
- 15
- Issue :
- 14
- Database :
- OpenAIRE
- Journal :
- Small (Weinheim an der Bergstrasse, Germany)
- Accession number :
- edsair.doi.dedup.....8373a9f6234db8ebbb61fd81386624c0