journal article·2025-09

Silver Nanoparticle‐Grafted Amidoxime Covalent Organic Framework: A Highly Sensitive and Selective SERS Substrate for Uranium Detection in Natural Water Systems

Xintong Guo, Xueyu Wang, Shizheng Wen, Huazhen Wu, Jing Wang, Mei Wang, Dewen He, Fuqiang Zhao, Jiakai Liu, Xueqing Yang, Shuao Wang

Advanced Functional Materials· Volume 35· Issue 38
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Abstract

Abstract Uranium is a critical nuclear material and a significant environmental contaminant due to its high toxicity, making its detection important. Surface‐enhanced Raman Scattering (SERS) has been used for the rapid and sensitive analysis of uranyl, but achieving both high sensitivity and selectivity in natural water systems remains a challenge. Herein, a novel Ag@COF‐TpDb‐AO substrate by depositing silver nanoparticles (AgNPs) onto amidoxime groups functionalized ketoenamine‐based covalent organic framework (COF‐TpDb‐AO) for uranyl detection is fabricated. This method achieves a low detection limit of 3.72 µg L⁻¹, significantly below the World Health Organization (WHO) maximum contamination standard of 30 µg L⁻¹ in drinking water. It also demonstrates a high enhancement factor of 1.26 × 10⁶, excellent interference resistance, reproducibility, and stability. Importantly, this method can detect uranyl in practical samples, including tap, river, and lake water, with recoveries ranging from 93.1% to 104.8%. The detection capability arises from the adsorption of trace uranyl onto COF‐TpDb‐AO, followed by enhancement of Raman intensity through electromagnetic and chemical synergistic effects. The enhancement mechanism is demonstrated by Finite‐Difference Time‐Domain (FDTD) and Density Functional Theory (DFT) calculations. This study presents a novel SERS substrate for trace uranyl detection in natural water systems, paving the way for improved environmental monitoring.
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Research context

OpenAlex topics: Covalent Organic Framework Applications · Radioactive element chemistry and processing · Metal-Organic Frameworks: Synthesis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Radiation Medicine and Protection School of Radiation Medicine and Protection Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions Soochow University Suzhou 215123 P. R. China

Jiangsu Province Key Laboratory of Modern Measurement Technology and Intelligent Systems School of Physics and Electronic Electrical Engineering Huaiyin Normal University Changjiang West Road 111 Huai'an 223300 P. R. China

State Key Laboratory of Optoelectronic Materials and Technologies Guangdong Province Key Laboratory of Display Material and Technology School of Electronics and Information Technology Sun Yat‐sen University Guangzhou 510275 P. R. China

Testing and Analysis Center of Soochow University Suzhou 215123 P. R. China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province

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