Issue 8, 2026, Issue in Progress

A near-infrared-controlled and logic gate sensing platform for the sensitive and specific detection of dual miRNAs

Abstract

Early detection of endometrial cancer remains challenging because of the lack of sensitive and specific diagnostic methods. This study develops a near-infrared (NIR)-activatable sensing platform with an AND logic gate to simultaneously detect miR-21 and miR-155, two promising endometrial cancer biomarkers. The sensing platform integrates acid-sensitive zeolitic imidazolate framework-8 (ZIF-8)-coated upconversion nanoparticles (UCNP@ZIF-8) with ternary DNA strands, consisting of a BHQ2-modified long strand (S2), a Cy5-labelled short strand (S3), and a photocleavable switch-bearing strand (S1). In a weakly acidic environment, the ZIF-8 shell decomposes to release UCNPs and DNA strands. Under 808 nm excitation, the UCNPs convert NIR light to ultraviolet or visible emission, cleaving the photocleavable linkers on S1 and exposing the toehold domain. The target miRNAs subsequently initiate a toehold-mediated strand displacement reaction, simultaneously displacing S1 and S3, thereby restoring Cy5 fluorescence. The biosensor demonstrated excellent sensitivity, with detection limits of 0.28 nM for miR-21 and 0.35 nM for miR-155. Validation in serum samples revealed recovery rates of 92–103.08%, confirming its potential for clinical application in complex biological environments.

Graphical abstract: A near-infrared-controlled and logic gate sensing platform for the sensitive and specific detection of dual miRNAs

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Article information

Article type
Paper
Submitted
09 Oct 2025
Accepted
15 Jan 2026
First published
02 Feb 2026
This article is Open Access
Creative Commons BY license

RSC Adv., 2026,16, 6844-6855

A near-infrared-controlled and logic gate sensing platform for the sensitive and specific detection of dual miRNAs

X. He, M. Yang, X. Zhang, B. Qiu and H. Jiang, RSC Adv., 2026, 16, 6844 DOI: 10.1039/D5RA07697H

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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