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From Nitrogen-Defect Chemistry to Redox-Regulated Coordinated electrode architectures: Electronic Reconstruction and Charge-Transfer Control in Graphene Quantum Dots for Energy Storage

Mohamed Abu ShuheilFaculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, JordanMaharshikumar B. ShuklaIrwanjot KaurDepartment of Chemistry & Biochemistry, Sharda School of Engineering & Sciences, Sharda University, Greater Noida, IndiaAhmed AldulaimiFaculty of Pharmacy, Al-Zahrawi University, Karbala, IraqMaha Mohammed TawfiqDepartment of Optics Techniques, health and medical techniques college, Alnoor University, Mosul, IraqHarvinder Singh SohalDepartment of Chemistry, University Institute of Sciences, Chandigarh University, Mohali, Punjab, IndiaKhushnud AzizjanovDepartment of Natural Sciences, Mamun University, Khiva, UzbekistanShakhrijakhon AminqulovDepartment of Medicine, Termez University of Economics and Service, Termez, UzbekistanHadi BastaniYoung Researchers and Elite Club, Tehran Branch, Islamic Azad University, Tehran, Iran
2026en
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ABI

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Nitrogen-defect engineering offers opportunities to modify the electronic structure, surface chemistry, and electrochemical behavior of graphene quantum dots (N-GQDs), but configuration-specific contributions remain difficult to separate from accompanying structural and interfacial changes. This review critically examines the relationships among nitrogen configurations, electronic-state modification, redox accessibility, and charge-transfer limitations, with a primary focus on supercapacitors and polymer hybrids. Pyridinic, pyrrolic, and graphitic nitrogen are discussed as context-dependent chemical descriptors rather than universally predictive active-site labels. Representative results include a reported capacitance of 503 F g⁻¹ at 5 A g⁻¹ and 91.9% capacitance retention after 10,000 cycles for an N-GQD/PANI electrode, and an energy density of 44.25 Wh kg⁻¹ at 1.227 kW kg⁻¹ for an S,N-GQD/PANI symmetric supercapacitor. These findings illustrate composite-level performance and are interpreted alongside normalization differences and contributions from polymers, conductive networks, and electrolyte accessibility. An illustrative battery-anode study is considered without extending its conclusions across battery chemistries. The proposed defect chemistry–redox–kinetics framework provides a mechanistically informed interpretation of how potentially active sites are utilized within coordinated electrode architectures. Its predictive scope remains qualitative and conditional. Priorities include controlled material comparisons, configuration-sensitive characterization, verification of potential-dependent site evolution, and machine-learning representations incorporating chemical, structural, architectural, and testing descriptors.

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