Luminescent Metal–Organic Framework with Negative Electrostatic Pores for Highly Selective GDP Sensing

Electrostatic potential (ESP) plays an essential role in studying interactions among molecules. Developing probe materials capable of selectively detecting analytes by aligning their molecular ESP with the electrostatic interaction of the host probe material is critically important for identifying analogous analytes; however, relevant research is extremely lacking. In this work, we synthesized a luminescent metal-organic framework (LMOF, Cd-DBDP) featuring negative electrostatic pore environments achieved by incorporating numerous electronegative oxygen atoms and N-containing aromatic rings from organic linkers. The molecular ESP distributions of Cd-DBDP and RNA-related nucleotides were calculated and employed to predict the sensing results. Fluorescence tests demonstrated that Cd-DBDP represents the first example of an MOF-based sensor for guanosine diphosphate (GDP) sensing, and the experimental observations were highly consistent with the theoretical prediction. The sensing mechanism for GDP was thoroughly studied through Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy/energy-dispersive spectroscopy (SEM/EDS), X-ray photoelectron spectroscopy (XPS), and theoretical calculations. These findings provide valuable insights into understanding the interplay between the molecular ESP distribution condition and the sensing results. This study offers a theoretical guide for future sensory research and provides effective means for the design and synthesis of highly efficient sensing MOFs, lending a solid groundwork for further exploration in this field.

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Publication Details

Journal
Inorganic Chemistry
Published
2025-03-04
DOI
https://doi.org/10.1021/acs.inorgchem.4c05544
Citations
2
Primary Topic
Metal-Organic Frameworks: Synthesis and Applications
Type
article
Field-Weighted Citation Impact
1.07

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article

Luminescent Metal–Organic Framework with Negative Electrostatic Pores for Highly Selective GDP Sensing

Fangmin Huang, Jiani Pan, Yexin Zhang, Yuying Wei et al.
2 citations
Inorganic Chemistry
Metal-Organic Frameworks: Synthesis and Applications
1.07
article

Luminescent Metal–Organic Framework with Negative Electrostatic Pores for Highly Selective GDP Sensing

Fangmin Huang, Jiani Pan, Yexin Zhang, Yuying Wei, Pengyan Wu, Jian Wang, Yuxuan Wang, Shiyuan Chen, Yuhan Li
article en
2 citations

Abstract

Electrostatic potential (ESP) plays an essential role in studying interactions among molecules. Developing probe materials capable of selectively detecting analytes by aligning their molecular ESP with the electrostatic interaction of the host probe material is critically important for identifying analogous analytes; however, relevant research is extremely lacking. In this work, we synthesized a luminescent metal-organic framework (LMOF, Cd-DBDP) featuring negative electrostatic pore environments achieved by incorporating numerous electronegative oxygen atoms and N-containing aromatic rings from organic linkers. The molecular ESP distributions of Cd-DBDP and RNA-related nucleotides were calculated and employed to predict the sensing results. Fluorescence tests demonstrated that Cd-DBDP represents the first example of an MOF-based sensor for guanosine diphosphate (GDP) sensing, and the experimental observations were highly consistent with the theoretical prediction. The sensing mechanism for GDP was thoroughly studied through Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy/energy-dispersive spectroscopy (SEM/EDS), X-ray photoelectron spectroscopy (XPS), and theoretical calculations. These findings provide valuable insights into understanding the interplay between the molecular ESP distribution condition and the sensing results. This study offers a theoretical guide for future sensory research and provides effective means for the design and synthesis of highly efficient sensing MOFs, lending a solid groundwork for further exploration in this field.

Inorganic ChemistryVol. 64(10)
Jiangsu Normal University (CN), State Key Laboratory of Synthetic Chemistry (CN), Green Chemistry (PL)
National Natural Science Foundation of China, Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions, Outstanding Youth Foundation of Jiangsu Province of China, Xuzhou Science and Technology Program
Decent work and economic growth
Openalex Percentile: Top 26%
Metal-Organic Frameworks: Synthesis and Applications
1.07
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