4.7 Article

Ultra-small highly fluorescent zinc-based metal organic framework nanodots for ratiometric visual sensing of tetracycline based on aggregation induced emission

Journal

TALANTA
Volume 254, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.talanta.2022.124178

Keywords

Metal organic framework; Fluorescence; Aggregation -induced emission; Smartphone based; Ratiometric; Tetracycline; Color tonality

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In this study, ultra-small and highly fluorescent zinc-based metal-organic frameworks (FMOF-5) were synthesized, which have the characteristics of stability, low cost, and robustness, making them highly desirable in bioanalytical applications. By selectively tuning the emission color and enhancing the fluorescence intensity of FMOF-5 through aggregation induced emission (AIE), tetracycline (TC) was successfully detected with high sensitivity. The integration of a smartphone and a visual platform enabled quantitative point-of-care testing. The results of this study have promising implications for practical applications.
Color tonality by intrinsic fluorescent metal-organic frameworks (MOFs) is highly desirable in bioanalytical applications due to its stability, low-cost and robustness with no need for functionalization and/or encapsulation of fluorophores. In the present work, ultra-small and higly fluorescent zinc-based MOFs (FMOF-5) were synthesized. The prepared FMOFs were around 5 nm in size, and gave strong blue emission at 440 nm when excited at 350 nm. Interestingly, tetracycline (TC) selectively tuned the blue emission of FMOF-5 to greenish-yellow emission (520 nm) with dramatic enhancement through aggregation induced emission (AIE). The fluorimetric analysis of TC was carried out through the ratiometric peak intensities of F520/F440, with detection limit (LOD) of 5 nM. To realize quantitative point-of-care based on color tonality, a smartphone integrated with the ratiometric visual platform was thereby design. Hence, TC was visually detected with LOD of 10 nM. The prepared FMOF-5-based probe showed high stability (3 months) and reusability (similar to 10 times). The developed visual-based platform presents great promise for practical point of care testing due to its low-cost, robustness, ruggedness, simple operation, and excellent selectivity and repeatability.

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