1. An origami paper-based nanoformulated immunosensor detects picograms of VEGF-C per milliliter of blood.
- Author
-
Sun S, Wang Y, Ming T, Luo J, Xing Y, Liu J, Xiong Y, Ma Y, Yan S, Yang Y, and Cai X
- Subjects
- Biomarkers, Tumor analysis, Biomarkers, Tumor blood, Blood Chemical Analysis instrumentation, Blood Chemical Analysis methods, Electrochemical Techniques instrumentation, Electrochemical Techniques methods, Electrodes, Gold chemistry, Humans, Immunoassay instrumentation, Immunoassay methods, Lab-On-A-Chip Devices, Limit of Detection, Metal Nanoparticles chemistry, Microtechnology, Nanocomposites chemistry, Nanotubes, Carbon chemistry, Neoplasms blood, Neoplasms diagnosis, Paper, Vascular Endothelial Growth Factor C analysis, Biosensing Techniques instrumentation, Biosensing Techniques methods, Early Detection of Cancer instrumentation, Early Detection of Cancer methods, Vascular Endothelial Growth Factor C blood
- Abstract
Detecting vascular endothelial growth factor C (VEGF-C), a kind of tumor biomarker, is of significant clinical importance in evaluating the prognosis of patients with cancer. However, laboratory analyses are usually not suitable for point-of-care testing because they are expensive and time consuming. In response to these challenges, we fabricated an origami paper-based microfluidic electrochemical device. To improve the specificity of VEGF-C detection, nanocomposites, synthesized by new methylene blue (NMB), amino-functional single-walled carbon nanotubes (NH
2 -SWCNTs), and gold nanoparticles (AuNPs), were used to modify the surface of working electrodes. Results of electrochemical detection showed that the immunosensor had excellent linearity, ranging from 0.01 to 100 ng mL-1 (R2 = 0.988), and the limit of detection was 10 pg mL-1 . To confirm the high specificity of the device under real-world conditions, we evaluated the device using clinical serum samples from our hospital. The results demonstrated that the device had an excellent performance and could provide a platform for real-time detection of cancers.- Published
- 2021
- Full Text
- View/download PDF