Dual sensitive and rapid detection of glycated human serum albumin using a versatile lead/graphene nanocomposite probe as a fluorescence–electrochemical aptasensor. Issue 13 (15th June 2021)

• Record Type: Journal Article
• Authors: Putnin, Thitirat; Waiwinya, Wassa; Pimalai, Dechnarong; Chawjiraphan, Wireeya; Sathirapongsasuti, Nuankanya; Japrung, Deanpen
• Is Part Of: Analyst. Volume 146:Issue 13(2021)
• Page Start: 4357
• Page End: 4364
• Publication Date: 2021-06-15
• Subjects: Chemistry, Analytic -- Periodicals; 543
• DOI: 10.1039/d1an00556a
• Languages: English
• ISSNs: 0003-2654

Abstract

Abstract : Monitoring of glycated human serum albumin (GHSA) as a glycemic marker for screening and monitoring of diabetes mellitus is widely practiced for patients with conditions that affect red blood cells. Abstract : Monitoring of glycated human serum albumin (GHSA) as a glycemic marker for screening and monitoring of diabetes mellitus is widely practiced for patients with conditions that affect red blood cells. In this study, a complex comprising Pb ions adsorbed on graphene oxide (GO-Pb) was fabricated and utilized as a versatile probe in a fluorescence–electrochemical aptasensor for GHSA quantification. To simplify the aptasensor, the GO-Pb complex probe was prepared via an ion adsorption process. After modification with a fluorophore-labeled aptamer, the GO-Pb complex served as an excellent energy acceptor in fluorescence-based analysis, as well as generating a high current in the electrochemical transducer. Additionally, the proposed platform can detect GHSA via the dual technique from a single sample, allowing for precise and accurate results. Under optimal conditions, the fluorescence–electrochemical aptasensor exhibited a linear relationship with GHSA concentrations from 0.001 to 80 μg mL −1 and from 0.005 to 10 μg mL −1 for fluorescence and electrochemical detection, respectively. The corresponding detection limits were 8.80 ng mL −1 and 0.77 ng mL −1, respectively. The proposed aptasensor additionally displayed good selectivity and excellent stability. Moreover, its successful application in the analysis of clinical samples further demonstrated its utility. Therefore, the proposed platform has significant potential as a novel, facile, highly responsive, and low-cost monitoring method for the development of diabetes mellitus diagnostic devices intended for a clinical setting.