4.2 Article

Label-Free Electrochemical Immunosensor Based on One-Step Electrochemical Deposition of AuNP-RGO Nanocomposites for Detection of Endometriosis Marker CA 125

期刊

ACS APPLIED BIO MATERIALS
卷 3, 期 11, 页码 7620-7630

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsabm.0c00821

关键词

cancer antigen 125; endometriosis; label-free immunosensor; in situ reduction; gold nanoparticles; graphene

资金

  1. Department of Science and Technology (DST-SERB), New Delhi, India [ECR/2016/001664/LS]
  2. Ministry of Science and Technology (MOST), Taiwan [MOST 106-2113-M-027-003-MY3]

向作者/读者索取更多资源

Endometriosis is the third most prominent gynecological disorder. Cancer antigen 125 (CA 125) is the primary serum marker used for late-stage endometriosis diagnosis and management. Herein, we developed a label-free immunosensor for electrochemical detection of CA 125 for endometriosis blood serum samples. The sensor was fabricated by one-step electrochemical deposition of highly conductive gold nanoparticles (AuNPs) and reduced graphene oxide (RGO) nanocomposite, via one-step electrochemical deposition. This method involved in situ reduction of HAuCl3 and graphene oxide and increased electrocatalytic performance. Different analytical techniques confirmed the morphology and structure of the AuNP/RGO nanocomposite. In addition, the antibody (Ab) was immobilized on the modified electrode surface through the self-assembly monolayer. The square wave voltammetry method has been utilized to measure the interaction of Ab and antigen (Ag). The as-fabricated sensor demonstrates a dynamic linear range of 0.0001 -> 300 U mL(-1) and lower limit of detection is 0.000042 U mL(-1) toward CA125 detection. The developed sensor provides acceptable stability, high selectivity, and reproducibility. The proposed immunosensor has been applied to the CA 125 detection in endometriosis patient blood samples, and the results confirm the reliability of the as-fabricated sensor that is further associated with the standard ELISA analysis. The AuNP/RGO-based sensor can be used as an excellent tool for future prospective clinical diagnostics applications.

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