Suppr超能文献

Highly sensitive fluorescence detection of ferulic acid in food using a Zn-MOF based fluorescent probe.

作者信息

Zhang Qinyi, Liang Jiaqi, Zhang Junyi, Chang Zhidong, Zhao Yanjun, Sun Changyan

机构信息

School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.

School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2026 Feb 5;346:126901. doi: 10.1016/j.saa.2025.126901. Epub 2025 Sep 3.

Abstract

Considering the potential risks of ferulic acid (FA), this study developed a novel fluorescent probe based on Zn-MOF for the efficient detection of FA in food. The Zn-MOF was successfully synthesized by solvothermal method, and its structure and stability were confirmed by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and powder X-ray diffraction (PXRD). It exhibited strong fluorescence at 420 nm under 348 nm excitation, and maintained 92.3 % of its fluorescence intensity after 7 days of ethanol immersion and 95.6 % at pH 3-12, demonstrating excellent chemical stability. The Zn-MOF could be used to detect FA and showed high sensitivity with the detection limit of 91.8 nM. The competitive experiments indicated that 17 common interferents had no significant effect on the detection (the fluorescence response change <5 %). The fluorescence of the sensing platform remained at 98.5 % after 5 cycles of use. Mechanism studies revealed that the fluorescence quenching was caused by the synergistic effect of photoinduced electron transfer, inner filter effect and competitive absorption. In the actual detection of corn wine samples, the method had a recovery rate of 100.7-104.1 % and a relative standard deviation (RSD) of less than 2.31 %, verifying its reliability in complex matrices. Furthermore, a fluorescent sensing composite material for FA was successfully developed by physically blending Zn-MOF with polyvinyl alcohol (PVA).

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验