Evidence map›Paper›PMID 42237033›Full record

ArticleMikrochimica acta2026

Dual-ligand Zr-based metal-organic framework probe with turn-on fluorescent response for dual-channel live cell imaging of phosphate and glutathione.

Xiuhua Wei, Haonan Wang, Xiaoxian Feng, Hui Dong, Yanli Zhou, Yuanqiang Hao, Maotian Xu

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Xiuhua WeiHenan Key Laboratory of Biomarker Detection and Diagnosis for Neurodegenerative Diseases, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, 476000, China.
Haonan WangHenan Key Laboratory of Biomarker Detection and Diagnosis for Neurodegenerative Diseases, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, 476000, China.
Xiaoxian FengHenan Key Laboratory of Biomarker Detection and Diagnosis for Neurodegenerative Diseases, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, 476000, China.
Hui DongHenan Key Laboratory of Biomarker Detection and Diagnosis for Neurodegenerative Diseases, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, 476000, China.
Yanli ZhouHenan Key Laboratory of Biomarker Detection and Diagnosis for Neurodegenerative Diseases, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, 476000, China.
Yuanqiang HaoKey Laboratory of Theoretical Organic Chemistry and Function Molecule of Ministry of Education, School of Chemistry and Chemical Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China.
Maotian XuHenan Key Laboratory of Biomarker Detection and Diagnosis for Neurodegenerative Diseases, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, 476000, China. xumaotian@sqnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In diseases associated with oxidative stress, such as chronic renal failure, alcoholic liver disease, and hyperthyroidism, both phosphate and reduced glutathione (GSH) levels significantly deviate from the normal physiological range. Therefore, simultaneous monitoring of phosphate and GSH levels is of great clinical significance for disease diagnosis and prognosis. Herein, an innovative dual-detection fluorescent probe constructed on a dual-ligand engineered Zr-based metal-organic framework (Zr-MOF) platform is introduced. This probe is designed for the simultaneous detection of phosphate and glutathione (GSH). Specifically, Cu(II) acts as a non-framework metal, coordinating with tetrakis(4-carboxyphenyl) porphyrin (TCPP) to enable specific recognition of GSH, while Zr(IV) serves as the framework node, detecting phosphate through coordination with phosphate anions. The synergistic effect of the two ligands enables dual detection, achieving a detection limit of 3.24 µM for phosphate and 2.81 µM for GSH, with a wide linear range of 0-100 µM. Rigorous interference tests confirmed that the signal retention rate exceeds 90% in the presence of competitive biomolecules. Benefiting from its small particle size and excellent water solubility, the probe can be applied to live-cell imaging technology, successfully enabling real-time tracking of exogenous phosphate uptake processes and dynamic GSH fluctuations in HeLa cells. This work provides a promising tool for the diagnosis and prognosis of the aforementioned diseases.

Indexed as

Fluorescent Chemosensor CompoundsGlutathioneMetal-Organic FrameworksPhosphatesZirconiumHeLa CellsHumansLigandsLimit of DetectionOptical ImagingSpectrometry, FluorescenceFluorescent Chemosensor CompoundsGlutathioneLigandsMetal-Organic FrameworksPhosphatesZirconiumCell imagingDual-channelDual-ligand MOFFluorescent probe

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.