Development of a label-free electrochemiluminescence biosensor for the sensitive detection of porcine gelatin using carbon nanostructured materials. Issue 5 (8th August 2022)

• Record Type: Journal Article
• Authors: Adhikari, Juthi; Rizwan, Mohammad; Ahmed, Minhaz Uddin
• Is Part Of: Sensors & diagnostics. Volume 1:Issue 5(2022)
• Page Start: 968
• Page End: 976
• Publication Date: 2022-08-08
• Subjects: Biosensors; Periodicals; Diagnosis; Chemical detectors; 616.0756
• DOI: 10.1039/d2sd00067a
• Languages: English
• ISSNs: 2635-0998

Abstract

Abstract : A label-free electrochemiluminescence biosensor using carbon nano-horns and nafion nanocomposite-modified carbon nanofiber printed sensor for the detection of porcine gelatin. Abstract : In this study, a carbon nanofiber fabricated screen-printed electrode (CNF-SPE) was modified using carbon nano-horns (CNHs) and nafion (NAF) for the development of a label-free electrochemiluminescence (ECL) biosensor. The goal was to design a robust and sensitive biosensor for the detection of porcine gelatin in food products, which will globally have a significant impact on the halal food industry. Gelatin derived from porcine has major religious and ethical concerns worldwide and its use is gradually increasing in food-based products without proper monitoring and observation. Henceforth, a biosensor was developed over a CNFs-SPE/CNHs/NAF platform by immobilizing biorecognition molecules (anti-gelatin), followed by non-specific blocking by 0.1% bovine serum albumin (BSA). Further, energy dispersive X-ray (EDX) and Fourier-transform infrared (FTIR) spectroscopy were employed to characterize the CNHs/NAF nanocomposite. Moreover, biosensor development was studied both by ECL and electrochemical impedance spectroscopy. Interestingly, the developed biosensor CNFs-SPE/CNHs/NAF/anti-gelatin/BSA demonstrated extensive linearity of 1 pg mL −1 to 8 ng mL −1 with a detection limit of 1 pg mL −1 . Therefore, with a demonstrated wide linear range and low detection limit, this proposed biosensor could be used to analyze real food samples. Furthermore, the biosensor showed remarkable reproducibility for porcine gelatin detection.