Picomolar chloramphenicol detection by orchestrating multi-level signal systems of metal-organic frameworks-catalytic hairpin assembly-gold nanoprobes

Chloramphenicol (CAP), a broad-spectrum antibiotic, faces stringent regulatory restrictions in clinical and food safety applications due to its severe toxicity. In practical scenarios, achieving highly sensitive and rapid detection of ultralow-level CAP presents a significant challenge in sensor system design. Here, we propose an orchestrated multi-level signal strategy to boost the sensitivity of an electrochemical aptasensor, enabling picomolar-level CAP detection. Amino-functionalized cobalt-based metal-organic framework nanosheets (Co-BDC(NH<sub>2</sub>)) and thionine-labeled gold nanoparticles (thio-AuNPs) are synthesized as electron transfer carriers and signal amplifiers, respectively. In the presence of picomolar concentrations of CAP, the catalytic hairpin assembly (CHA) reaction of DNA is triggered, linking the aptamer-modified Co-BDC(NH<sub>2</sub>) nanosheets with thio-AuNPs and facilitating precise CAP detection at low concentrations. Under optimal conditions, the aptasensor delivers an ultralow limit of detection (LOD) of 3.33 pM with a wide linear range from 10 pM to 50 nM. Notably, the aptasensor also exhibits excellent anti-interference capability, reproducibility, and stability in real matrices like milk, bottled water, and lake water. This work presents a high-sensitivity sensor platform design strategy that enables effective detection of ultralow-level targets beyond environmental substances through multiple signal amplification process.

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Publication Details

Journal
Talanta
Published
2026-01-29
DOI
https://doi.org/10.1016/j.talanta.2026.129463
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
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article

Picomolar chloramphenicol detection by orchestrating multi-level signal systems of metal-organic frameworks-catalytic hairpin assembly-gold nanoprobes

Hongjian Ge, Bowen Shen, Xinyue Guo, Biao Hong et al.
Talanta
Advanced biosensing and bioanalysis techniques
article

Picomolar chloramphenicol detection by orchestrating multi-level signal systems of metal-organic frameworks-catalytic hairpin assembly-gold nanoprobes

Hongjian Ge, Bowen Shen, Xinyue Guo, Biao Hong, Wei Li, Liang Han, Wenqing Liu, Zhengyan Wu, Yuqin Zhang
article en

Abstract

Chloramphenicol (CAP), a broad-spectrum antibiotic, faces stringent regulatory restrictions in clinical and food safety applications due to its severe toxicity. In practical scenarios, achieving highly sensitive and rapid detection of ultralow-level CAP presents a significant challenge in sensor system design. Here, we propose an orchestrated multi-level signal strategy to boost the sensitivity of an electrochemical aptasensor, enabling picomolar-level CAP detection. Amino-functionalized cobalt-based metal-organic framework nanosheets (Co-BDC(NH<sub>2</sub>)) and thionine-labeled gold nanoparticles (thio-AuNPs) are synthesized as electron transfer carriers and signal amplifiers, respectively. In the presence of picomolar concentrations of CAP, the catalytic hairpin assembly (CHA) reaction of DNA is triggered, linking the aptamer-modified Co-BDC(NH<sub>2</sub>) nanosheets with thio-AuNPs and facilitating precise CAP detection at low concentrations. Under optimal conditions, the aptasensor delivers an ultralow limit of detection (LOD) of 3.33 pM with a wide linear range from 10 pM to 50 nM. Notably, the aptasensor also exhibits excellent anti-interference capability, reproducibility, and stability in real matrices like milk, bottled water, and lake water. This work presents a high-sensitivity sensor platform design strategy that enables effective detection of ultralow-level targets beyond environmental substances through multiple signal amplification process.

TalantaVol. 302
University of Science and Technology of China (CN), Anhui Medical University (CN), Hefei Institutes of Physical Science (CN), Institute of Intelligent Machines (CN), China Building Materials Academy (CN), Anhui Institute of Optics and Fine Mechanics (CN)
Openalex Percentile: Top 74%
Advanced biosensing and bioanalysis techniques
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