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      Intercalating methylene blue in molecular beacon for sensitive detection of salivary TNF-α towards early diagnosis of oral cancer

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          Abstract

          An electrochemical molecular beacon-based biosensor is developed for the sensitive detection of TNF-α, which presents a non-invasive strategy for salivary cytokines detection towards the early diagnosis of oral cancer in a point-of-care fashion.

          Abstract

          Oral cancer is the sixth most common cancer globally, and pro-inflammatory cytokines are associated with oral cancer development and progression. Thus, monitoring salivary pro-inflammatory cytokines is essential for the early diagnosis of oral cancer. Electrochemical molecular beacons are popular in the design of biosensors for the real-time monitoring of analytes. Labelling redox probes on molecular beacons reporting electrochemical signals is critical to enhance their sensitivity. Herein, we designed an electrochemical biosensor, denoted as screen-printed carbon electrode (SPCE)-graphene oxidize-aptamer conjugated with methylene blue (MB) (SPCE-GO-aptamer (MB)), by intercalating methylene blue ( i.e., the redox probe) in the hairpin structure of a molecular beacon having specific affinity to TNF-α on a graphene oxide (GO)-modified glass screen-printed carbon electrode for the quantitative detection of TNF-α. For comparison, another sensing interface termed SPCE-GO-aptamer-MB, on which methylene blue was covalently attached to the end of the molecular beacon on a GO-modified SPCE was employed for the quantitative detection of TNF-α. Techniques including electrochemistry, XPS, and SEM were used to characterize the surface of the functionalized sensor. Because a larger amount of MB could be intercalated in the hairpin of the molecular beacon, a relatively larger MB signal was observed for SPCE-GO-aptamer (MB) than that on SPCE-GO-aptamer-MB when both biosensing interfaces were exposed to the same concentration of TNF-α. The linear range of SPCE-GO-aptamer (MB) and SPCE-GO-aptamer-MB for the detection of TNF-α was 1–400 pg mL −1 with a detection limit of 1 pg mL −1 and 10–300 pg mL −1 with a detection limit of 10 pg mL −1, respectively. The SPCE-GO-aptamer(MB) sensing interface was validated by detecting TNF-α in saliva with a desirable performance, which promises a non-invasive method for monitoring the dynamic cytokine concentration in oral cancer.

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          Most cited references41

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          Cytokines, inflammation, and pain.

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            Cytokines in cancer pathogenesis and cancer therapy.

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              Oral cancer: Etiology and risk factors: A review.

              Oral cancer is the sixth most common malignancy in the world. Oral cancer is of major concern in Southeast Asia primarily because of the prevalent oral habits of betel quid chewing, smoking, and alcohol consumption. Despite recent advances in cancer diagnoses and therapies, the 5.year survival rate of oral cancer patients has remained at a dismal 50% in the last few decades. This paper is an overview of the various etiological agents and risk factors implicated in the development of oral cancer.
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                Author and article information

                Contributors
                Journal
                SDEIAR
                Sensors & Diagnostics
                Sens. Diagn.
                Royal Society of Chemistry (RSC)
                2635-0998
                July 14 2022
                2022
                : 1
                : 4
                : 731-738
                Affiliations
                [1 ]School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China
                [2 ]Christchurch Regenerative Medicine and Tissue Engineering (CReaTE) group, Department of Orthopaedic Surgery and Musculoskeletal Medicine, University of Otago, Christchurch, 8011, New Zealand
                [3 ]Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
                [4 ]School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China
                Article
                10.1039/D2SD00035K
                28c2b36f-568d-49a8-924b-1c23dd186545
                © 2022

                http://creativecommons.org/licenses/by-nc/3.0/

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