Citation: Yifei Chen, Yu Wu, Weiqing Xu, Yinjun Tang, Yujia Cai, Wenhong Yang, Wenxuan Jiang, Xin Yu, Jian Li, Ying Zhou, Yiwei Qiu, Wenling Gu, Chengzhou Zhu. Handheld integrated needle sensor based on arginine-engineered Cu-MOF with boosted enzyme-mimicking activity for sensitive detection of glyphosate[J]. Chinese Chemical Letters, ;2026, 37(5): 111649. doi: 10.1016/j.cclet.2025.111649 shu

Handheld integrated needle sensor based on arginine-engineered Cu-MOF with boosted enzyme-mimicking activity for sensitive detection of glyphosate

Yifei Chen ^a ,
Yu Wu ^a ,
Weiqing Xu ^a ,
Yinjun Tang ^a ,
Yujia Cai ^a ,
Wenhong Yang ^a ,
Wenxuan Jiang ^a ,
Xin Yu ^a ,
Jian Li ^a ,
Ying Zhou ^a ,
Yiwei Qiu ^a ,
Wenling Gu ^a ,
Chengzhou Zhu ^{a, b, *,}

a.
State Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, China
b.
College of Material Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Hangzhou Normal University, Hangzhou 311121, China

czzhu@ccnu.edu.cn

Received Date: 17 March 2025
Revised Date: 17 June 2025
Accepted Date: 30 July 2025
Available Online: 7 August 2025

Figures(5)

Metal-organic frameworks (MOFs) with tunable structures provide a versatile platform for exploring active sites and show great potential in enzyme-like catalysis. In this study, arginine was employed as a modulator to synthesize an arginine-copper metal-organic framework (Arg-Cu-MOF), which demonstrated superior peroxidase-like activity and stability in comparison to unmodified Cu-MOF. The improved activity resulted from an increased density of Cu⁺ active sites, facilitating efficient ^•OH generation through H₂O₂ decomposition. Glyphosate interacts with the copper sites in a way that affects ^•OH generation and chromogenic substrate oxidation, leading to detectable colorimetric changes. By integrating Arg-Cu-MOF into a needle sensor, we allowed sample handling, reagent mixing, and signal readout, enabling both precise instrumental measurements and semi-quantitative visual detection of glyphosate. This sensor offers a detection range of 0.05–200 µg/mL with a detection limit of 0.049 µg/mL. This work highlights the potential of MOF modulation strategies and integrated detection platforms to enhance analytical performance, improve user-friendliness, and expand the application scope of biomimetic nanomaterials.
- Enzyme-like catalysis,
- Functional modulator,
- Metal-organic frameworks,
- Sensing,
- Glyphosate
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