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用于基于智能手机的炭疽生物标志物吡啶二羧酸荧光灵敏识别的铕修饰氮化碳纳米片

Europium-modified carbon nitride nanosheets for smartphone-based fluorescence sensitive recognition of anthrax biomarker dipicolinic acid.

作者信息

Yuan Mi, Jin Yu, Yu Long, Bu Yiming, Sun Mingtai, Yuan Chao, Wang Suhua

机构信息

Guangdong Provincial Key Laboratory of Petrochemical Pollution Processes and Control, School of Environmental Science and Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, People's Republic of China; College of Biomedicine and Health, Huazhong Agricultural University, Wuhan 430070, People's Republic of China.

College of Science, Huazhong Agricultural University, Wuhan 430070, People's Republic of China.

出版信息

Food Chem. 2023 Jan 1;398:133884. doi: 10.1016/j.foodchem.2022.133884. Epub 2022 Aug 8.

DOI:10.1016/j.foodchem.2022.133884
PMID:35964575
Abstract

Development of selective and sensitive methods for the detection of 2, 6-dipicolinic acid (DPA), a biomarker produced by bacterial spores, is of great significance for maintaining public health and food safety. Herein, a ratiometric fluorescence strategy using graphene carbon nitride (g-CN) coupled with Eu is designed for the assay of DPA. As the concentration of DPA increases, the emission intensity of g-CN kept constant which acted as a stable internal reference, while the fluorescence of Eu was enhanced obviously due to the antenna effect. The linear calibration ranged from 0.1 to 15 μM with a detection limit of 13 nM was obtained. More Importantly, a paper-based sensor with a smartphone was successfully combined to perform colorimetric and visual detection of DPA in situ. This method has good performance for the detection of DPA, which is expected to broaden the application prospects of preliminary biomarker monitoring.

摘要

开发用于检测细菌芽孢产生的生物标志物2,6-二吡啶甲酸(DPA)的选择性和灵敏方法,对于维护公众健康和食品安全具有重要意义。在此,设计了一种使用石墨烯碳氮化物(g-CN)与铕耦合的比率荧光策略来检测DPA。随着DPA浓度的增加,作为稳定内参的g-CN的发射强度保持恒定,而由于天线效应,铕的荧光明显增强。获得了线性校准范围为0.1至15μM,检测限为13 nM。更重要的是,成功地将基于纸的传感器与智能手机结合,用于原位比色和可视化检测DPA。该方法在检测DPA方面具有良好的性能,有望拓宽初步生物标志物监测的应用前景。

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