Folding Paper-Based Aptasensor Platform Coated with Novel Nanoassemblies for Instant and Highly Sensitive Detection of 17β-Estradiol

Ming Tao(Chinese Academy of Sciences), Yang Wang(Chinese Academy of Sciences), Jinping Luo(Chinese Academy of Sciences), Juntao Liu(Chinese Academy of Sciences), Shuai Sun(Chinese Academy of Sciences), Yu Xing(Chinese Academy of Sciences), Guihua Xiao(Chinese Academy of Sciences), Hongyan Jin(Peking University), Xinxia Cai(Chinese Academy of Sciences)
ACS Sensors
November 28, 2019
Cited by 73

Abstract

Owing to its critical role in the development of female reproductive tissues and as a clinical biomarker, there is an urgent need to develop a rapid and cost-effective method to sensitively detect 17β-estradiol (E2). In this work, a folding aptasensor platform with microfluidic channels for the label-free electrochemical detection of E2 is described. The platform, designed with a delicate folding structure, integrating filter holes, microfluidic channels, reaction chambers, and a three-electrode system, is extremely easy to use. To increase the detection sensitivity and immobilize the aptamer, we synthesized a novel nanoassembly consisting of amine-functionalized single-walled carbon nanotube/new methylene blue/gold nanoparticles (AuNPs) and modified the working electrode with this nanoassembly. The calibration curve obtained from the experimental results exhibited a linear range between 10 pg mL–1 and 500 ng mL–1 (R2 = 0.993), and a detection limit of 5 pg mL–1 was achieved (S/N = 3). Furthermore, experiments to detect E2 in clinical serum were conducted, and the results were highly similar to those obtained using a large electrochemical luminescence apparatus. By integrating multiple functional components, adopting novel nanoassemblies, and using a folding structure, this paper-based platform not only has great potential as a simple and convenient integrated device for point-of-care testing of E2, but also as a portable, low-cost, and highly sensitive aptasensor platform capable of detecting many diagnostic biomarkers with the appropriate aptamers.


Related Papers

No related papers found

Powered by citation graph analysis