Issue 10, 2021, Issue in Progress

Highly sensitive and selective detection of PCB 77 using an aptamer-catalytic hairpin assembly in an aquatic environment

Abstract

Polychlorinated biphenyls (PCBs) are synthetic organic compounds that are extremely difficult to break down in water and can accumulate in human fat and organisms. However, methods that can be used to detect large amounts of PCBs remain unsatisfactory, as they are generally overly sensitive and involve complex operations. An aptamer-based catalytic hairpin assembly (aptamer-CHA) reaction for the selective detection of 3,3′,4,4′-tetrachlorobiphenyl (PCB 77) was developed. It combines the advantages of aptamers and signal amplification reactions. The aptamer selectivity recognizes the target, PCB 77, which triggers the sensitive CHA reaction to produce a fluorescence signal. CHA is a sensitive enzyme-free signal amplification method suitable for on-site detection. Therefore, the identification aptamer is the basis for the quantitative detection of PCB 77, with a detection range of 0.01 μg L−1 to 500 μg L−1 and a detection limit of 0.01 μg L−1. In this study, the aptamer was used to improve the selectivity of the reaction, and the CHA reaction improved the sensitivity of the detection system. Such high-sensitivity PCB detection capabilities with simplified procedures may be useful for real-time field detection and other monitoring tasks. This method can be used as a rapid fluorescence detection strategy for other targets in aquatic environments.

Graphical abstract: Highly sensitive and selective detection of PCB 77 using an aptamer-catalytic hairpin assembly in an aquatic environment

Supplementary files

Article information

Article type
Paper
Submitted
06 Dec 2020
Accepted
25 Jan 2021
First published
01 Feb 2021
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2021,11, 5506-5511

Highly sensitive and selective detection of PCB 77 using an aptamer-catalytic hairpin assembly in an aquatic environment

L. Yuan, Q. Fu, M. Zhou, Y. Ma, L. Zang, Y. Qin, D. Ji and F. Zhang, RSC Adv., 2021, 11, 5506 DOI: 10.1039/D0RA10285G

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