Issue 24, 2021

High-sensitivity small-molecule detection of microcystin-LR cyano-toxin using a terahertz-aptamer biosensor

Abstract

We demonstrate the rapid and highly sensitive detection of a small molecule, microcystin-LR (MC-LR) toxin using an aptasensor based on a terahertz (THz) emission technique named the terahertz chemical microscope (TCM). The main component of the TCM is the sensing plate, which consists of a thin silicon layer deposited on a sapphire substrate, with a natural SiO2 layer formed on the top of the Si layer. The DNA aptamer is linked to the oxidized top surface of the silicon layer by a one-step reaction (click chemistry) between the DBCO-labeled aptamer and an azido group that binds to the surface. Using density functional theory (DFT) calculations, the number of active sites on the surface has been estimated to be 3.8 × 1013 cm−2. Aptamer immobilization and MC-LR binding have been optimized by adjusting the aptamer concentration and the binding buffer composition. When MC-LR binds with the DNA aptamer, it causes a change in the chemical potential at the surface of the sensing plate, which leads to a change in the amplitude of the THz signal. Compared with other bio-sensing methods such as surface plasmon resonance (SPR), TCM is a rapid assay that can be completed in 15 min (10 min incubation and 5 min data acquisition). Moreover, our results show that the aptamer-based TCM can detect MC-LR with an excellent detection limit of 50 ng L−1, which is 20 times more sensitive compared with SPR measurements of MC-LR.

Graphical abstract: High-sensitivity small-molecule detection of microcystin-LR cyano-toxin using a terahertz-aptamer biosensor

Supplementary files

Article information

Article type
Paper
Submitted
31 Aug 2021
Accepted
05 Nov 2021
First published
15 Nov 2021
This article is Open Access
Creative Commons BY-NC license

Analyst, 2021,146, 7583-7592

High-sensitivity small-molecule detection of microcystin-LR cyano-toxin using a terahertz-aptamer biosensor

A. Mohamed, R. Walsh, M. Cherif, H. A. Hafez, X. Ropagnol, F. Vidal, J. Perreault and T. Ozaki, Analyst, 2021, 146, 7583 DOI: 10.1039/D1AN01577J

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