Center of Excellence for Innovation in Chemistry, Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
Center of Excellence for Innovation in Chemistry, Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
Spectrochim Acta A Mol Biomol Spectrosc. 2025 Feb 5;326:125243. doi: 10.1016/j.saa.2024.125243. Epub 2024 Oct 5.
A fluorescent sensor based on nitrogen-doped graphene quantum dots (N-GQDs) was developed for the smartphone-assisted colorimetric determination of diflunisal. The fluorescence source was embedded with zinc oxide (ZnO) in a molecularly imprinted polymer (ZnO@N-GQDs@MIP). The quantitative analysis was based on the fluorescence quenching caused by electron transfer from the nanoprobe to diflunisal. The sensor demonstrated linearity in the range of 0.10-50.0 μg L with a limit of detection of 0.03 μg L. Smartphone-assisted on-site determination produced linearity in the range of 1.0-50.0 µg/L with a limit of detection of 0.30 μg L. The developed sensor was applied to determine diflunisal in milk, egg and yogurt samples. Recoveries ranging from 94.8 to 103.7 % were achieved with a RSD below 2.0 % measured by fluorescence spectroscopy, and from 94.9 to 106.9 % with a RSD of <6 % smatphone-assisted measurement. Comparison of the detection outcomes of both methods with those of high-performance liquid chromatography revealed consistent results, demonstrating the accuracy of the developed method, which was also sensitive, selective, and fast. Notably, the portable and easy-to-read smartphone-assisted method is suitable for on-site application.
基于氮掺杂石墨烯量子点（N-GQDs）的荧光传感器被开发用于智能手机辅助比色法测定双氟尼柳。荧光源嵌入了氧化锌（ZnO）在分子印迹聚合物（ZnO@N-GQDs@MIP）中。定量分析基于纳米探针向双氟尼柳转移电子引起的荧光猝灭。传感器在 0.10-50.0μg L 范围内表现出线性，检测限为 0.03μg L。智能手机辅助现场测定在 1.0-50.0μg/L 范围内表现出线性，检测限为 0.30μg L。所开发的传感器用于测定牛奶、鸡蛋和酸奶样品中的双氟尼柳。荧光光谱法测定的回收率在 94.8%至 103.7%之间，RSD 低于 2.0%，智能手机辅助测定的回收率在 94.9%至 106.9%之间，RSD 小于 6%。两种方法的检测结果与高效液相色谱法的检测结果进行比较，结果一致，表明该方法准确，且具有灵敏度高、选择性好、快速的特点。值得注意的是，便携式且易于读取的智能手机辅助方法适用于现场应用。
