Yan Yu, Guo Hao, Yu Zhiguo, Yang Zeyun, Zhuang Dengke, Ma Yanyan, Wang Mingyue, Yang Wu
Key Lab of Eco-Functional Polymer Materials of the Ministry of Education, Key Lab of Bioelectrochemistry and Environmental Analysis of Gansu Province, College of Chemistry and Chemical Engineering, Gansu International Scientific and Technological Cooperation Base of Water-Retention Chemical Functional Materials, Northwest Normal University, Lanzhou, 730070, People's Republic of China.
Mikrochim Acta. 2025 Mar 25;192(4):253. doi: 10.1007/s00604-025-07113-0.
The residue of malachite green (MG) in water has serious toxic effects on the human body, so it is very important to establish a highly sensitive and convenient method for MG detection. In this study, a novel double-emission lanthanide MOF fluorescence probe (Eu-Zn-MOF) was designed for monitoring MG in water by post-synthetic modification (PSM) to Zn-MOF synthesized by a simple hydrothermal method. Eu-Zn-MOF exhibits excellent photoluminescence properties, making it suitable as a ratiometric fluorescence sensor (I/I) for the sensitive detection of MG. MG effectively quenches the luminescence of Eu at 615 nm, while the luminescence of the Zn-MOF frame at 410 nm remains unaltered. The fluorescence sensing platform had a relatively wide linear range (0-30 µM), low detection limit (9.8 nM), high sensitivity, and rapid response time (within 1 min). At the same time, the recovery of actual samples was 90.2-107.0%, and the relative standard deviation (RSD) was ≤ 3.82%. Simultaneously, by combining the smartphone color recognition APP with RGB analysis, a portable smartphone auxiliary sensing platform was established to realize the visual detection of MG. This method provides a novel strategy for real-time monitoring of pollutants in the environment.
水中孔雀石绿（MG）残留对人体具有严重毒性作用，因此建立一种高灵敏度且便捷的MG检测方法非常重要。在本研究中，通过对采用简单水热法合成的Zn-MOF进行后合成修饰（PSM），设计了一种新型双发射镧系金属有机框架荧光探针（Eu-Zn-MOF）用于监测水中的MG。Eu-Zn-MOF表现出优异的光致发光性能，使其适合作为比率荧光传感器（I/I）用于灵敏检测MG。MG能有效猝灭Eu在615nm处的发光，而Zn-MOF框架在410nm处的发光保持不变。该荧光传感平台具有相对较宽的线性范围（0 - 30µM）、低检测限（9.8nM）、高灵敏度以及快速响应时间（1分钟内）。同时，实际样品的回收率为90.2 - 107.0%，相对标准偏差（RSD）≤3.82%。此外，通过将智能手机颜色识别APP与RGB分析相结合，建立了便携式智能手机辅助传感平台以实现MG的可视化检测。该方法为环境中污染物的实时监测提供了一种新策略。
