ArticleMikrochimica acta2026
Aptamer-gated luminescence enhancement and red-shift in a MOF: a ratiometric and color-tonality visual biosensor for pathogenic E. coli detection.
Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- MOF-on-MOF heterostructured composites for food safety analysis: construction strategies, sensing applications and sample pretreatment.RSC advances · 2026Review
- Sodium alginate-based eco-friendly nanocomposites for textile wastewater management.RSC advances · 2026Review
- Cardiac troponin sensingRSC advances · 2026Article
- Mild-condition green synthesis of manganese nanoparticles for next-generation broad-spectrum antibacterial applications.RSC advances · 2026Article
- Smartphone-assisted visual detection of arsenate based on CuMikrochimica acta · 2026Article
- MnOMikrochimica acta · 2026Article
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Authors and funding
4 authors.
Funding
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Abstract
An advanced aptasensing platform is introduced that integrates the luminescence properties of zirconium-based metal–organic frameworks (Zr-MOFs) with the molecular recognition capacity of aptamer. The integration of a specific Escherichia coli (E. coli)-targeting aptamer with the Zr-MOF induces a remarkable dual emission response: a significant enhancement in intensity accompanied by a pronounced red-shift from 470 nm to 530 nm, forming a highly fluorescent aptamer@Zr-MOF composite. This transformation serves as the foundational “On” state in a rationally designed “Off-On-Off” sensing cycle. The initial Zr-MOF emission is quenched (“Off”), then enhanced and red-shifted by aptamer binding (“On”), and finally quenched again upon target recognition as E. coli selectively binds the aptamer, displacing it from the MOF surface and restoring the “Off” state. This ratiometric response enables highly sensitive and selective quantification of E. coli. The platform was adapted for both instrumental analysis and instrument-free, smartphone-based visual detection. The smartphone method achieved an exceptionally low detection limit of 1.6 CFU/mL with a linear range from 10 to 1 × 106 CFU/mL. The aptasensor demonstrated high selectivity against competing bacteria and was successfully applied to detect E. coli in spiked lettuce and wastewater samples, with recoveries between 94.5% and 98.0%. This strategy provides a powerful, portable tool for on-site pathogen monitoring.
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Registered trials
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