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Amperometric detection of tumor suppressor protein p53 via pencil graphite electrode for fast cancer diagnosis.
- Source :
-
Analytical biochemistry [Anal Biochem] 2022 Feb 15; Vol. 639, pp. 114528. Date of Electronic Publication: 2021 Dec 15. - Publication Year :
- 2022
-
Abstract
- Cancer occupies the second place in terms of worldwide mortality. Early and fast diagnosis of cancer helps clinicians to expand therapeutic approaches ultimately leading towards early diagnosis of cancer patients. In the present work, we delineated an amperometric immunosensor to diagnose cancer to detect p53, a biomarker for cancer. The immunosensor was fabricated by immobilizing anti-p53 antibodies onto the pencil graphite electrode (PGE). The immobilization of probe was studied by scanning electron microscopy (SEM), electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV). The immunosensor was optimized for pH, incubation temperature, antibody concentration, incubation time and antigen concentration. The developed immunosensor, showed a linear range between 10 pgmL <superscript>-1</superscript> to 10 ngmL <superscript>-1</superscript> with a detection limit (LOD) of 10 pgmL <superscript>-1</superscript> . p53 antigen was analyzed by measuring current under optimal conditions. The occurrence of p53 was determined in sera of prostate, breast, colon and lung cancer patients by the present immunosensor. The lower incubation time i.e., fast response and lower LOD demonstrated an improved p53 immunosensor for early diagnosis of cancer.<br /> (Copyright © 2021. Published by Elsevier Inc.)
- Subjects :
- Biosensing Techniques instrumentation
Electrochemical Techniques instrumentation
Electrochemical Techniques methods
Electrodes
Humans
Immunoassay instrumentation
Immunoassay methods
Limit of Detection
Neoplasms diagnosis
Antibodies, Immobilized chemistry
Biosensing Techniques methods
Graphite chemistry
Neoplasms blood
Tumor Suppressor Protein p53 blood
Subjects
Details
- Language :
- English
- ISSN :
- 1096-0309
- Volume :
- 639
- Database :
- MEDLINE
- Journal :
- Analytical biochemistry
- Publication Type :
- Academic Journal
- Accession number :
- 34919898
- Full Text :
- https://doi.org/10.1016/j.ab.2021.114528