Real-Time Biosensor Platform Based on Novel Sandwich Graphdiyne for Ultrasensitive Detection of Tumor Marker

Jing Xu, Yinbing Liu, Ke-Jing Huang, Yang-Yang Hou, Xiaoxuan Sun, Jiaqiang Li

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Realization of a highly sensitive analysis and sensing platform is important for early-stage tumor diagnosis. In this work, a self-powered biosensor with a novel sandwich graphdiyne (SGDY) combined with an aptamer-specific recognition function was developed to sensitively and accurately detect tumor markers. Results indicated that the detection limits of microRNA (miRNA)-21 and miRNA-141 were 0.15 and 0.30 fM (S/N = 3) in the linear range of 0.05–10000 and 1–10000 fM, respectively. The newly designed platform has great promise for early-stage tumor diagnosis.
Original languageEnglish (US)
JournalAnalytical Chemistry
DOIs
StatePublished - Nov 29 2022

ASJC Scopus subject areas

  • Analytical Chemistry

Fingerprint

Dive into the research topics of 'Real-Time Biosensor Platform Based on Novel Sandwich Graphdiyne for Ultrasensitive Detection of Tumor Marker'. Together they form a unique fingerprint.

Cite this