Here, we describe a new dinitro-functionalized Zr(iv) MOF (MOF = metal-organic framework) having a UiO-66 (UiO = University of Oslo) framework topology called UiO-66-(NO) (1). It shows fluorescence turn-on behavior towards HS in simulated biological medium (HEPES buffer, pH = 7.4). By employing solvothermal conditions, 1 was successfully synthesized by reacting ZrCl, HBDC-(NO) [HBDC-(NO) = 2,5-dinitro-1,4-benzenedicarboxylic acid] ligand and benzoic acid with a molar ratio of 1 : 1 : 10 in DMF (DMF = N,N-dimethylformamide) at 130 °C for 24 h. The material was characterized by infrared spectroscopy, X-ray powder diffraction (XRPD) and thermogravimetric (TG) analyses. The compound not only displays highly sensitive fluorometric sensing of HS but also exhibits a visually detectable colorimetric change towards HS in daylight. Moreover, the high selectivity of 1' towards HS is retained even when several other biologically intrusive species co-exist in the sensing medium. The limit of detection (LOD) of the compound is 14.14 μM which lies in the range of the HS concentration found in biological systems. Fluorescence microscopy studies on J774A.1 cells revealed the efficacy of the probe for imaging HS in living cells. Moreover, this material can detect HS in human blood plasma (HBP) and monitor the sulfide concentration in real water samples. All these features clearly demonstrate that the material has huge potential for highly selective sensing of both extracellular and intracellular HS.
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http://dx.doi.org/10.1039/c7an01964e | DOI Listing |
Talanta
January 2025
School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, China. Electronic address:
The rapid, sensitive and reliable detection of oral cancer overexpressed 1 (ORAOV 1) is crucial for the early, non-invasive diagnosis of oral squamous cell carcinoma (OSCC). Herein, we are the first to construct an ultrasensitive electrochemical (EC) biosensor based on an entropy-driven "two-way signal output" (TWSO) cyclic circuit for salivary ORAOV 1 detection. This innovative TWSO cyclic circuit can skillfully convert by-products into desired signal-generating units, not only reducing the excessive accumulation of by-products but also improving the utilization efficiency of output chains, thereby achieving rapid reaction kinetics and high signal outputs.
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December 2024
Faculty of Chemistry, University of Mazandaran, Babolsar, Iran. Electronic address:
Preparation of carbon dots (CDs) from biomass waste is of great interest due to its low cost synthesis, environmental compatibility and functionalization without adding dangerous chemicals. Herein, S-doped carbon dot (SCD) was synthesized using agricultural waste as carbon precursors and modified in-situ with rhodamine B dye (SCD@RHB) to construct efficient flouresent probe. SCD@RHB was loaded into HKUST-1 metal-organic framework (SCD@RHB/HKUST-1) and the probe was employed as ratiometric flouresent (RF) sensor for the determination of ciprofloxacin (CIP) antibiotic in trace level.
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January 2025
Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, 476000, PR China. Electronic address:
Pre-designed core-shell metal-organic frameworks (MOFs@MOFs) with customized functionalities can enhance the material properties compared to conventional single MOFs. The porous carbon composites derived from MOFs@MOFs also have excellent functionality due to the presence of multiple metal/metal oxide nanoparticles. This paper synthesized a novel MOFs@MOFs composite (MIL-101(Fe)@Ni-MOF) with a core-shell structure with MIL-101(Fe) as the core and Ni-MOF as the shell.
View Article and Find Full Text PDFFood Chem
December 2024
School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China. Electronic address:
Metal-organic frameworks (MOFs) are highly valued for their electronic and optical capabilities in food sample analysis. Implementing MOF-based sensors is crucial for public health safety. This review centers on electrochemiluminescence (ECL) MOFs for monitoring food samples, highlighting signal changes from combining MOFs with Ru(bpy), TPrA, nanomaterials, and biomolecules.
View Article and Find Full Text PDFMetal-organic frameworks (MOFs) are porous, crystalline materials with high surface area, adjustable porosity, and structural tunability, making them ideal for diverse applications. However, traditional experimental and computational methods have limited scalability and interpretability, hindering effective exploration of MOF structure-property relationships. To address these challenges, we introduce, for the first time, a category-specific topological learning (CSTL), which combines algebraic topology with chemical insights for robust property prediction.
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