Issue 7, 2022

A novel sensitive DNAzyme-based optical fiber evanescent wave biosensor for rapid detection of Pb2+ in human serum

Abstract

We describe here a portable DNAzyme-based optical fiber evanescent wave biosensor (OFEWB) for the rapid and sensitive detection of Pb2+ in human serum. Unlike other biosensors, the OFEWB dispensed with the complicated process of attaching biometric elements to the optical fiber, and the optical fiber directly acted as a transducer to transmit the excitation light and simultaneously collected the fluorescence, which could simplify the detection process, avoid the susceptibility to interference from complex environments and strengthen the reusability of the biosensor. The fluorescence (Cy3) labelled substrate sequence (GR-5S-Cy3) could be cleaved under the catalysis of the GR-5 DNAzyme sequence (GR-5E-BHQ2) in the presence of Pb2+; then the released fluorescence labelled fragments could be directly excited and detected by the OFEWB due to the high transmission efficiency of the excitation light and fluorescence in the OFEWB. Several key factors affecting Pb2+ detection were investigated in detail and optimized. Under the optimal conditions, the LOD of Pb2+ in human serum was 9.34 nM (equivalent to 93.4 nM in whole serum) with a detection range of 0–120 nM. The possible matrix interference was evaluated with different spiked human serum samples, and the recovery of Pb2+ ranged from 74.4% to 112.5% with RSD < 14.8%, implying this method had excellent practicability and could be potentially used in analyzing some biomedical samples.

Graphical abstract: A novel sensitive DNAzyme-based optical fiber evanescent wave biosensor for rapid detection of Pb2+ in human serum

Supplementary files

Article information

Article type
Paper
Submitted
09 Jan 2022
Accepted
01 Feb 2022
First published
22 Feb 2022

Analyst, 2022,147, 1467-1477

A novel sensitive DNAzyme-based optical fiber evanescent wave biosensor for rapid detection of Pb2+ in human serum

Z. Yi, Y. Zhou, Y. Ren, W. Hu, F. Long and A. Zhu, Analyst, 2022, 147, 1467 DOI: 10.1039/D2AN00043A

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