Issue 1, 2023

Painless and sensitive pepsinogen I detection: an electrochemical immunosensor based on rhombic dodecahedral Cu3Pt and MoS2 NFs

Abstract

Gastric cancer (GC) is a common malignant tumour of the digestive tract with a high mortality rate worldwide. However, many patients delay treatment due to the avoidance of the costly and painful procedure of gastroscopy. Therefore, an early convenient screening method is essential to improve the survival rate of GC patients. To address this issue, we constructed an electrochemical immunosensor supported by rhombohedral Cu3Pt and MoS2 nanoflowers (MoS2 NFs) for rapid, painless and quantitative detection of the GC biomarker in vitro. Here, pepsinogen I was employed as a model protein biomarker to analyse the performance of the immunosensor. The rhombohedral dodecahedral Cu3Pt nanoparticles decorated with MoS2-NFs were further functionalized; this allowed the constructed sensor to possess more nano- or micro-structures, thereby improving the detection sensitivity. In specific applications, the corresponding bioactive molecules can be flexibly captured. Under optimal conditions, the immunoassay showed a wide linear range from 500 pg mL−1 to 400 ng mL−1 and a low detection limit of 167 pg mL−1 (S/N = 3). This covers the critical value of 70 ng mL−1, and the results obtained from the analysis of human serum samples were on par with those from the enzyme immunoassay, suggesting significant potential for this new method in daily diagnosis.

Graphical abstract: Painless and sensitive pepsinogen I detection: an electrochemical immunosensor based on rhombic dodecahedral Cu3Pt and MoS2 NFs

Supplementary files

Article information

Article type
Paper
Submitted
20 Aug 2022
Accepted
06 Nov 2022
First published
30 Nov 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2023,5, 133-141

Painless and sensitive pepsinogen I detection: an electrochemical immunosensor based on rhombic dodecahedral Cu3Pt and MoS2 NFs

S. Wei, S. Li, H. Xiao, F. Zhao, J. Zhu, Z. Chen and L. Cao, Nanoscale Adv., 2023, 5, 133 DOI: 10.1039/D2NA00556E

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