Issue 16, 2024

A lateral flow strip for on-site detection of homocysteine based on a truncated aptamer

Abstract

An elevated level of homocysteine (Hcy) in serum is closely related to the development of various diseases. Therefore, homocysteine has been widely employed as a biomarker in medical diagnosis and the on-site detection of homocysteine is highly desired. In this study, a truncated highly specific aptamer for homocysteine was screened and used to design a lateral flow strip (LFS) for the detection of homocysteine. The aptamer was derived from a previously reported sequence. Based on the result of molecular docking, the original sequence was subjected to truncation, resulting in a reduction of the length from 66 nt to 55 nt. Based on the truncated aptamer, the LFS was designed for the detection of homocysteine. In the presence of homocysteine, the aptamer selectively binds to it, releasing cDNA from the aptamer/cDNA duplex. This allows cDNA to bind to the capture probe immobilized on the T zone of the strip, resulting in a red signal on the T zone from gold nanoparticles (AuNPs). The strip enables the visual detection of homocysteine in 5 min. Quantitative detection can be facilitated with the aid of ImageJ software. In this mode, the linear detection range for homocysteine is within 5–50 μM, with a detection limit of 4.18 μM. The strip has been effectively utilized for the detection of homocysteine in human serum. Consequently, the combination of the truncated aptamer and the strip offers a method that is sensitive, quick, and economical for the on-site detection of homocysteine.

Graphical abstract: A lateral flow strip for on-site detection of homocysteine based on a truncated aptamer

Supplementary files

Article information

Article type
Paper
Submitted
15 Febr. 2024
Accepted
26 Marts 2024
First published
26 Marts 2024

Anal. Methods, 2024,16, 2456-2463

A lateral flow strip for on-site detection of homocysteine based on a truncated aptamer

Y. Wu, T. Huang, X. Chen, M. Wang, X. Wang, Y. Zhang and N. Zhou, Anal. Methods, 2024, 16, 2456 DOI: 10.1039/D4AY00274A

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