Published May 2023 | Version v1
Journal article

Tunable fluorescent artificial receptor biosensor based on programmable lanthanide metal-organic framework for highly selective neurotransmitter detection

  • 1. Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education), School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071 (China)
  • 2. Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071 (China)
  • 3. Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 (China)
  • 4. Clinical Trial Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071 (China)

Description

The design and fabrication of artificial receptors suitable for highly selective and sensitive sensing of neurotransmitters in aqueous media remains a challenge, especially for the significant biomarker dopamine (DA) for neurological diseases. Herein, a novel modular fluorescent artificial receptor design strategy based on multiple parameters programming engineering is proposed. The optimal artificial receptor DA biosensor based on fluorescent lanthanide metal-organic frameworks (Ln-MOFs) is coded by adjusting the modular design parameters such as preparation solvents and ligands. It is prepared by Eu ion and ligand 1,2,4,5-benzenetetracarboxylic acid (BTEC) in DMF/water, which can selectively recognize DA even in complex biological fluids, without the interference of other structurally similar neurotransmitters such as levodopa, serotonin and noradrenaline, and the limit of detection for DA is as low as 10 nm. Ln-MOFs are believed to uniquely utilize their tunable host-guest interactions (specific recognition) and confinement catalysis capabilities to achieve highly selective and dual-response DA detection, similar to lock-and-key theory, which is supported by experiments and density functional theory calculations. Fluorescent artificial receptors based on Ln-MOFs are proved to have broad potential for label-free detection, imaging and diagnosis. They can overcome the long-standing limitations of complex synthetic biosensors, and bringing new solutions to personalized medicine. (© 2023 Wiley‐VCH GmbH)

Availability note (English)

Available from: http://dx.doi.org/10.1002/adfm.202300309

Additional details

Identifiers

Publishing Information

Journal Title
Advanced Functional Materials (Internet)
Journal Volume
33
Journal Issue
22
Journal Page Range
p. 1-11
ISSN
1616-3028
CODEN
AFMDC6

Optional Information

Notes
AID: 2300309