Issue 11, 2022

Triblock probe-polyA-probe electrochemical interfacial engineering for the sensitive analysis of RNAi plants

Abstract

RNA interference (RNAi) is currently under fast development, which brings improved crop quality and new activity against pests in agriculture, by producing RNAs to specifically inhibit gene expression. This technology, in turn, creates a pressing need for sensitive and specific analytical methods of exogenous RNA molecules in genetically modified (GM) crops for safety assessment and regulation of RNAi plants and their products. In this work, we developed a novel RNA electrochemical biosensor for the analysis of GM maize samples based on a polyA-DNA capturing probe containing three DNA segments: the central polyA segment combined onto a gold electrode surface with adjustable configuration and density, and two flanking DNA probes simultaneously captured the RNA targets through hybridization. Both the assembling and hybridization capability of our probe were demonstrated, and we systematically optimized the analytical conditions. Finally, the ultrasensitive detection of 10 fM RNA was realized without any amplification processes, and the specificity was verified by analyzing non-target maize samples. Our electrochemical biosensor provided a reliable and convenient measurement strategy for RNAi safety and quality assessment, and more importantly, our PAP (probe-polyA-probe) capturing probe exhibited an innovative design for the detection of large RNA molecules with complex secondary structures.

Graphical abstract: Triblock probe-polyA-probe electrochemical interfacial engineering for the sensitive analysis of RNAi plants

Supplementary files

Article information

Article type
Paper
Submitted
02 Mar 2022
Accepted
14 Apr 2022
First published
15 Apr 2022

Analyst, 2022,147, 2452-2459

Triblock probe-polyA-probe electrochemical interfacial engineering for the sensitive analysis of RNAi plants

Y. Zheng, L. Wang, L. Xu, Y. Li, X. Yang, Z. Yang, L. Li, M. Ding, S. Ren, F. Gong, J. Chang, C. Cao, Y. Wen, L. Li and G. Liu, Analyst, 2022, 147, 2452 DOI: 10.1039/D2AN00366J

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements