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Updated: Mar 13, 2026

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The Synthesis, Characterization and Reactivity of a Series of Ruthenium N-triphosPh Complexes
Published on: April 10, 2015
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Multifunctional ruthenium-based complexes for chronic wound therapy: from ligand engineering to intelligent
Yulong Lan1,2, Jianliang Shen2,3, Lifeng Tan1
1College of Chemistry, Xiangtan University, Xiangtan 411105, China. lfwyxh@yeah.net.
Nanoscale
|March 12, 2026
Summary
Ruthenium-based complexes offer smart, integrated diagnostic and therapeutic solutions for chronic wounds. Intelligent ligand design enables these systems to sense and respond to wound conditions, overcoming limitations of traditional treatments.
Area of Science:
- Biomaterials Science
- Nanotechnology
- Medicinal Chemistry
Background:
- Chronic wounds present a complex challenge due to oxidative stress, immune issues, and biofilms.
- Current single-target therapies have limited effectiveness in managing these multifaceted conditions.
Purpose of the Study:
- To review how advanced ligand design transforms ruthenium-based complexes (RuBCs) into smart diagnostic-therapeutic systems for chronic wounds.
- To explore strategies for integrating sensing, targeted delivery, and multi-functional therapeutic actions.
Main Methods:
- Analysis of the chronic wound microenvironment to identify therapeutic targets.
- Detailed examination of ruthenium-based nanomaterial properties and ligand design principles.
- Integration of environmentally responsive release, targeted delivery, and combined catalytic, phototherapeutic, and immunomodulatory functions.
Main Results:
- Intelligent ligand design enables RuBCs to act as diagnostic-therapeutic integrated systems.
- Strategies include responsive drug release, targeted delivery, and synergistic multi-modal therapies.
- Real-time diagnostics can be combined with therapy for closed-loop feedback systems.
Conclusions:
- Ruthenium-based complexes show promise for chronic wound treatment by addressing multiple pathological aspects.
- Challenges include biosafety, scalability, and in vivo validation.
- Future directions involve multi-stimulus responsiveness, advanced biomaterial synergy, and AI-assisted design.

