Bio-nanocomposite based highly sensitive and label-free electrochemical immunosensor for endometriosis diagnostics application Article

Kalyani, T, Sangili, A, Nanda, A et al. (2021). Bio-nanocomposite based highly sensitive and label-free electrochemical immunosensor for endometriosis diagnostics application . BIOELECTROCHEMISTRY, 139 10.1016/j.bioelechem.2021.107740

cited authors

  • Kalyani, T; Sangili, A; Nanda, A; Prakash, S; Kaushik, A; Kumar Jana, S

authors

abstract

  • In this research, for the first time, a bio-nanocomposites based highly sensitive and label-free electrochemical immunosensor is reported with the aim of endometriosis diagnostics application. Multiwalled carbon nanotube and magnetite nanoparticle (MWCNT-Fe3O4) was dispersed in chitosan (CS) to fabricate a bio-nanocomposite to immobilize very monoclonal specific antibody (via cross-linking using glutaraldehyde) for selective electrochemical immuno-sensing of carbohydrate antigen 19–9 (CA19-9), a potential biomarker for endometriosis diagnostics. Well-characterized Anti-AbsCA19-9/CS-MWCNT-Fe3O4 immune-electrode fabricated on glassy carbon electrode (GCE) successfully detect CA 19–9 and exhibited a high sensitivity as (2.55 µA pg−1 cm−1), a detection limit of 0.163 pg mL−1, detection range from 1.0 pg mL−1 to 100 ng mL−1. Our fabricated electrochemical AbsCA19-9/CS-MWCNT-Fe3O4 immunosensor performed CA19-9 sensing in physiological range and at a very level which suggest it application for early-stage diagnostics, diseases monitoring, and optimization of therapy. To claim the clinical application, our sensor was tested using real samples and sensing performance was validated using enzyme-linked immune-sorbent assay (ELISA). The results of the studies projected AbsCA19-9/CS-MWCNT-Fe3O4 electrochemical CA19-9 immunosensor as a potential and affordable alternate of conventional techniques like ELISA. We believe that our fabricated sensor can be the plane of a disease's management program due to affordable, rapid, label-free, and sensitive detection of a targeted biomarker.

publication date

  • June 1, 2021

published in

Digital Object Identifier (DOI)

volume

  • 139