Quantitative mixed-valence state identification of metal ions based on fluorescence response of graphene quantum dots

Quantitative identification of mixed-valence metal ions is essential for gaining deeper insights into critical chemical and biological processes in environmental science, chemical engineering, and biological systems. However, a simple approach of quantitative identification mixed-valence metal ions...

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Main Authors: Jing Xu, Juan Yang, Zhongteng Wang, Pei Li, Jian Lan, Risheng Yu, Jie Li, Lu Li, Wei Liu, Junlang Chen, Shangshen Feng, Liang Chen
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127523008808
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author Jing Xu
Juan Yang
Zhongteng Wang
Pei Li
Jian Lan
Risheng Yu
Jie Li
Lu Li
Wei Liu
Junlang Chen
Shangshen Feng
Liang Chen
author_facet Jing Xu
Juan Yang
Zhongteng Wang
Pei Li
Jian Lan
Risheng Yu
Jie Li
Lu Li
Wei Liu
Junlang Chen
Shangshen Feng
Liang Chen
author_sort Jing Xu
collection DOAJ
description Quantitative identification of mixed-valence metal ions is essential for gaining deeper insights into critical chemical and biological processes in environmental science, chemical engineering, and biological systems. However, a simple approach of quantitative identification mixed-valence metal ions in solution has remained a challenge. In this study, we have experimentally observed a significant linear correlation (R2 = 0.99) between the concentration of high-valence metal ions (using iron ions as an example) and the fluorescence intensity of graphene quantum dots (GQDs). Utilizing the distinct fluorescence responses of GQDs to high-valence and low-valence metal ions, reliable quantitative detection of mixed-valence metal ions has been successfully achieved. Remarkably, we introduced real-time monitoring of mixed-valence metal ions, revealing a shift from a molar ratio of approximately 4.0 to 2.0. Density functional theory calculations have revealed significant differences in charge transfer between high-valence and low-valence states of metal ions adsorbed onto GQDs. Furthermore, the versatility of this method can extend to various types of GQDs and metal ions, highlighting its universal applicability. This work presents a simple, convenient, and cost-effective approach for quantitatively identifying mixed-valence metal ions in solution, offering a new avenue and opportunity for applications in biochemistry, environmental science, catalysis and materials science.
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spelling doaj.art-01e3f75476ff4a79b46abf7e939bd3a82023-12-14T05:20:19ZengElsevierMaterials & Design0264-12752023-12-01236112465Quantitative mixed-valence state identification of metal ions based on fluorescence response of graphene quantum dotsJing Xu0Juan Yang1Zhongteng Wang2Pei Li3Jian Lan4Risheng Yu5Jie Li6Lu Li7Wei Liu8Junlang Chen9Shangshen Feng10Liang Chen11Department of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, ChinaSchool of Physical Science and Technology, Ningbo University, Ningbo 315211, ChinaCollege of Pharmaceutical Chemistry and Materials Engineering, Taizhou University, Taizhou 317000, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China; College of Pharmaceutical Chemistry and Materials Engineering, Taizhou University, Taizhou 317000, ChinaDepartment of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China; School of Physical Science and Technology, Ningbo University, Ningbo 315211, China; Corresponding author at: Department of Optical Engineering, Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China; School of Physical Science and Technology, Ningbo University, Ningbo 315211, China.Quantitative identification of mixed-valence metal ions is essential for gaining deeper insights into critical chemical and biological processes in environmental science, chemical engineering, and biological systems. However, a simple approach of quantitative identification mixed-valence metal ions in solution has remained a challenge. In this study, we have experimentally observed a significant linear correlation (R2 = 0.99) between the concentration of high-valence metal ions (using iron ions as an example) and the fluorescence intensity of graphene quantum dots (GQDs). Utilizing the distinct fluorescence responses of GQDs to high-valence and low-valence metal ions, reliable quantitative detection of mixed-valence metal ions has been successfully achieved. Remarkably, we introduced real-time monitoring of mixed-valence metal ions, revealing a shift from a molar ratio of approximately 4.0 to 2.0. Density functional theory calculations have revealed significant differences in charge transfer between high-valence and low-valence states of metal ions adsorbed onto GQDs. Furthermore, the versatility of this method can extend to various types of GQDs and metal ions, highlighting its universal applicability. This work presents a simple, convenient, and cost-effective approach for quantitatively identifying mixed-valence metal ions in solution, offering a new avenue and opportunity for applications in biochemistry, environmental science, catalysis and materials science.http://www.sciencedirect.com/science/article/pii/S0264127523008808Mixed-valence state identificationMetal ionsGraphene quantum dotsDensity functional theory
spellingShingle Jing Xu
Juan Yang
Zhongteng Wang
Pei Li
Jian Lan
Risheng Yu
Jie Li
Lu Li
Wei Liu
Junlang Chen
Shangshen Feng
Liang Chen
Quantitative mixed-valence state identification of metal ions based on fluorescence response of graphene quantum dots
Materials & Design
Mixed-valence state identification
Metal ions
Graphene quantum dots
Density functional theory
title Quantitative mixed-valence state identification of metal ions based on fluorescence response of graphene quantum dots
title_full Quantitative mixed-valence state identification of metal ions based on fluorescence response of graphene quantum dots
title_fullStr Quantitative mixed-valence state identification of metal ions based on fluorescence response of graphene quantum dots
title_full_unstemmed Quantitative mixed-valence state identification of metal ions based on fluorescence response of graphene quantum dots
title_short Quantitative mixed-valence state identification of metal ions based on fluorescence response of graphene quantum dots
title_sort quantitative mixed valence state identification of metal ions based on fluorescence response of graphene quantum dots
topic Mixed-valence state identification
Metal ions
Graphene quantum dots
Density functional theory
url http://www.sciencedirect.com/science/article/pii/S0264127523008808
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