2024
DOI: 10.1021/acsanm.3c05186
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Zeolite-Like Ln-MOF Luminescent Nanosensor for Highly Efficient Detection of l-Noradrenaline

Xinhui Fang,
Zeyi Jiang,
Xueying Zhou
et al.

Abstract: L-Noradrenaline (L-NE) is a neurotransmitter released by postganglionic neurons in the sympathetic nerve branch and stimulates the secretion of L-NE in human blood. Accurate monitoring of the L-NE concentration in serum is crucial for detecting stimulants and preventing fraud in competitive events. In this study, we introduce an approach for the detection of L-NE using a zeolite-like lanthanide metal−organic framework (Ln-MOF) named Eu 0.479 Tb 0.521 -ZMOF, constructed with a H 2 bpdc ligand (where H 2 bpdc st… Show more

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Cited by 8 publications
(1 citation statement)
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“…Traditional dual-devices integration on fiber methods for temperature compensation increase the complexity of demodulation devices [13][14][15]. Fiber optic fluorescence temperature sensing technology combines fluorescent substances such as Ln-MOFs [16,17], perovskite quantum dots [18,19], and rare earth metal ions [20,21] with optical fibers to construct a detection probe that utilizes fluorescence temperature correlation changes such as luminescence intensity [22,23], fluorescence lifetime [24,25], peak wavelength, etc [26][27][28]. Among them, fluorescence intensity is the most intuitive detection signal.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional dual-devices integration on fiber methods for temperature compensation increase the complexity of demodulation devices [13][14][15]. Fiber optic fluorescence temperature sensing technology combines fluorescent substances such as Ln-MOFs [16,17], perovskite quantum dots [18,19], and rare earth metal ions [20,21] with optical fibers to construct a detection probe that utilizes fluorescence temperature correlation changes such as luminescence intensity [22,23], fluorescence lifetime [24,25], peak wavelength, etc [26][27][28]. Among them, fluorescence intensity is the most intuitive detection signal.…”
Section: Introductionmentioning
confidence: 99%