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基于碳量子点的荧光分子印迹传感器用于水样中除草醚的检测。

Fluorescent Molecular Imprinted Sensor Based on Carbon Quantum Dot for Nitrofen Detection in Water Sample.

作者信息

Chen Yuge, Zhou Yongheng, You Jinjie, Zhang Zeming, Sun Aili, Liu Hua, Shi Xizhi

机构信息

State Key Laboratory for Quality and Safety of Agro-Products, Ningbo University, Ningbo 315211, China.

School of Marine Sciences, Ningbo University, Ningbo 315211, China.

出版信息

Polymers (Basel). 2025 Mar 20;17(6):816. doi: 10.3390/polym17060816.

DOI:10.3390/polym17060816
PMID:40292707
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11944888/
Abstract

The structure of nitrofen is stable and resistant to natural degradation, persisting in environments for extended periods. It can accumulate through the food chain, posing risks to human health. Here, we report a sensor based on carbon quantum dots (CQDs) and molecular imprinting technology (CQDs@MIPs). It not only possesses the specificity and stability of MIPs but also incorporates the environmental friendliness and signal amplification capabilities of CQDs, making it an ideal material for the specific detection of nitrofen residues in the environment. The interaction between CQDs@MIPs and nitrofen, as well as the successful removal of nitrofen, were confirmed through transmission electron microscopy (TEM) and Zeta potential analysis, which evaluated the morphology and particle size of the prepared CQDs@MIPs. After binding with nitrofen, the CQDs@MIP sensor exhibited a low detection limit (2.5 × 10 mg·L), a wide detection range (0.01-40 mg·L), a good linear relationship (R = 0.9951), and a short detection time (5 min). The CQDs@MIP sensor also demonstrated excellent stability, with the fluorescence intensity of CQDs@MIPs remaining above 90% of the initial preparation after 20 days. At the same time, Red, Green, Blue (RGB) color model extraction technology is used to fit the color of the sample under different concentrations, and the smart phone application is integrated to realize the visual detection of nitrofen. Furthermore, acceptable accuracy was achieved in real water samples (recovery rates ranging from 84.1% to 115.7%), indicating that our CQDs@MIP sensor has high analytical potential for real samples.

摘要

除草醚的结构稳定,抗自然降解,可在环境中长期存在。它能通过食物链累积,对人类健康构成风险。在此,我们报道一种基于碳量子点(CQDs)和分子印迹技术(CQDs@MIPs)的传感器。它不仅具备分子印迹聚合物的特异性和稳定性,还兼具碳量子点的环境友好性和信号放大能力,使其成为环境中除草醚残留特异性检测的理想材料。通过透射电子显微镜(TEM)和Zeta电位分析证实了CQDs@MIPs与除草醚之间的相互作用以及除草醚的成功去除,这两种分析评估了所制备的CQDs@MIPs的形态和粒径。与除草醚结合后,CQDs@MIP传感器表现出低检测限(2.5×10 mg·L)、宽检测范围(0.01 - 40 mg·L)、良好的线性关系(R = 0.9951)以及短检测时间(5分钟)。CQDs@MIP传感器还展现出优异的稳定性,20天后CQDs@MIPs的荧光强度仍保持在初始制备值的90%以上。同时,采用红、绿、蓝(RGB)颜色模型提取技术拟合不同浓度下样品的颜色,并集成智能手机应用实现除草醚的可视化检测。此外,在实际水样中也获得了可接受的准确度(回收率在84.1%至115.7%之间),表明我们的CQDs@MIP传感器对实际样品具有很高的分析潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/16e63da25522/polymers-17-00816-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/049f3dfd4750/polymers-17-00816-sch001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/beb5bbec4c61/polymers-17-00816-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/b030878a834c/polymers-17-00816-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/b955be0d2106/polymers-17-00816-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/3b50371924c9/polymers-17-00816-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/3cdbf51f4fdf/polymers-17-00816-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/16e63da25522/polymers-17-00816-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/049f3dfd4750/polymers-17-00816-sch001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/beb5bbec4c61/polymers-17-00816-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/b030878a834c/polymers-17-00816-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/b955be0d2106/polymers-17-00816-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/3b50371924c9/polymers-17-00816-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/3cdbf51f4fdf/polymers-17-00816-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22be/11944888/16e63da25522/polymers-17-00816-g006.jpg

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本文引用的文献

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Herbicides and bio-inputs: Compatibility and challenges for sustainable agriculture.除草剂与生物投入品:可持续农业的兼容性与挑战
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