Journal
BIOSENSORS & BIOELECTRONICS
Volume 88, Issue -, Pages 144-152Publisher
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.07.114
Keywords
Ultrasensitive; Multiwalled carbon nanotubes; Electrospinning; Carcinoma antigen; lmmunosensor
Ask authors/readers for more resources
Ovarian cancer is the most leading cause of cancer-related death in women. The carcinoma antigen-125, which is found on the surface of many ovarian cancer cells is known to be a gold standard clinical biomarker associated with life-threatening gynecological malignancy. In this work, we demonstrate a novel biosensor platform based on multiwalled carbon nanotubes embedded zinc oxide nanowire for the ultrasensitive detection of carcinoma antigen-125. Label free detection of the carcinoma antigen-125 was accomplished by differential voltammetry technique that demonstrated excellent sensitivity (90.14 mu A/(U/mL)/cm(2)) with a detection limit of 0.00113 UmL(-1) concentration. The fabricated immunosensor exhibits good performance with wider detection range (0.001 UmL(-1)-1 kUmL(-1)), reproducibility, selectivity, acceptable stability, and thus is a potential cost-effective methodology for point-of-care diagnosis. The multiwalled carbon nanotubes (MWCNTs) embedded highly oriented zinc oxide (ZnO) nanowires were synthesized by simple, low cost electrospinning technique. Compared to pure ZnO nanowires, electrochemical activity of MWCNTs embedded ZnO nanowires was found to be much higher. The calcination temperature was optimized to avoid any decomposition of the CNTs and to obtain multiwalled carbon nanotubes embedded highly crystalline ZnO nanowires. The salient feature of this biosensing platform is that one step calcination process is enough to create the functional groups on MWCNT-ZnO nanowire surface that are effective for the covalent conjugation of antibody without further surface modification. To the best of our knowledge, this is the first report on MWCNT-ZnO nanowire based immunosensor explored for the detection of cancer biomarker. (C) 2016 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available