4.8 Article

A highly sensitive biosensor for tumor maker alpha fetoprotein based on poly(ethylene glycol) doped conducting polymer PEDOT

期刊

BIOSENSORS & BIOELECTRONICS
卷 79, 期 -, 页码 736-741

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.01.012

关键词

Conducting polymer; Poly(ethylene glycol); Poly(3,4-ethylenedioxythiophene); Alpha fetoprotein; Biosensor

资金

  1. National Natural Science Foundation of China [21275087, 21422504]
  2. Natural Science Foundation of Shandong Province of China [JQ201406]
  3. Qingdao People's Livelihood Science and Technology [14-23-30-nsh]
  4. Taishan Scholar Program of Shandong Province, China

向作者/读者索取更多资源

Biocompatible polymers, such as poly(ethylene glycol) (PEG), are of great significance in the development of bio-interfaces and biosensors, as they possess excellent biocompatibility and are easy for modification. A novel highly biocompatible polymer composite was synthesized herein through electrochemical polymerization of the conducting polymer poly(3,4-ethylenedioxythiophene) (PEDOT) and a PEG derivative, 4-arm PEG terminated with thiol groups. The electrodeposited conducting polymer composite of PEG doped PEDOT (PEDOT/PEG) exhibited flake-like nanostructure, large surface area and outstanding stability. In order to further immobilize antibodies, gold nanoparticles (AuNPs) were introduced to the PEDOT/PEG composite surface through their unique interaction with the thiol groups. AuNPs modified PEDOT/PEG provided a desirable support for the immobilization of various biomolecules such as antibodies for alpha fetoprotein (AFP), a vital tumor biomarker for liver cancer. The fabricated AFP biosensor demonstrated favorable selectivity, high sensitivity, and ultralow detection limit. Furthermore, owing to the presence of PEG polymers that are highly hydrophilic, such AuNPs/PEDOT/PEG based AFP biosensor also exhibited good anti-fouling ability, and it was capable of assaying target AFP in 10% (V/V) human serum samples, indicating highly feasible potential for clinical diagnosis. (C) 2016 Elsevier B.V. All rights reserved.

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