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

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-Abs(CA19-9)/CS-MWCNT-Fe3O4 immune-electrode fabricated on glassy carbon electrode (GCE) successfully detect CA 19-9 and exhibited a high sensitivity as (2.55 mu A 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 Abs(CA19-9)/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 Abs(CA19-9)/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. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

This research introduces a highly sensitive and label-free electrochemical immunosensor based on bio-nanocomposites for the diagnosis of endometriosis. The sensor demonstrates successful detection of CA 19-9 with high sensitivity and a wide detection range, suggesting its potential application in early-stage diagnostics and disease monitoring.