ArticleMikrochimica acta2026
Fluorescent and colorimetric detection of Vibrio anguillarum based on loop-mediated isothermal amplification coupled with copper nanoclusters sensing system.
Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Vibrio anguillarum poses a serious threat to food safety, human health and aquaculture. At present, sensitive visual detection methods for V. anguillarum remain scarce. In this study, a novel dual-signal sensing system was constructed for the highly specific and visual detection of V. anguillarum. The system leverages loop-mediated isothermal amplification (LAMP) reaction to generate abundant AT-rich double-strand DNA products in the presence of the target pathogen. These products serve as templates for in-situ synthesis of copper nanoclusters (CuNCs), which exhibit both strong fluorescence and peroxidase-mimicking activity. The fluorescence intensity of CuNCs was positively correlated with the concentration of V. anguillarum, enabling quantitative fluorescence detection. Simultaneously, the CuNCs with peroxidase-like activity can catalyze the oxidation of colorless 3,3',5,5'-tetramethylbenzidine (TMB) into blue oxTMB, allowing straightforward colorimetric readout. This dual-mode approach achieved outstanding sensitivity, with detection limits as low as 18 CFU/mL for fluorescence and 108 CFU/mL for colorimetry. The system also demonstrated high specificity against related pathogenic bacteria and was successfully applied to detect V. anguillarum in real turbot samples, showing excellent recovery and reliability. Notably, a closed-vial configuration effectively minimized aerosol-derived carryover contamination, and a portable colorimetric test paper further enabled visual point-of-care analysis. This work provides a robust and versatile strategy for rapid, visual, and accurate detection of V. anguillarum, and serves as a reference for developing detection platforms for other pathogens.
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