Molecularly imprinted MOF nanozymes: Demonstration of smartphone-integrated dual-mode platform for ratiometric fluorescent/colorimetric detection of chloramphenicol
Xiang-Yi He , Ya Wang , Qin Xue , Wan-Fen Qian , Guang-Li Li , Qing Li
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引用次数: 0
Abstract
Reliable and accurate determination of chloramphenicol (CAP) is urgently needed due to its significant implications for food safety and human health concerns. In this study, we successfully synthesized MIL-101(Fe)-NH2@MIP, which exhibits peroxidase activity and a specific recognition function for CAP, through in situ polymerization of dopamine on the surface of MIL-101(Fe)-NH2, utilizing molecular imprinting technology. Our bifunctional MIL-101(Fe)-NH2@MIP probe offers a ratiometric fluorescent and colorimetric dual-mode sensing strategy for sensitive and selective detection of chloramphenicol. The detection limits for CAP can reach down to 36.45 nM and 93.38 nM, respectively. Furthermore, we developed a smartphone-based visual sensing platform that employs MIL-101(Fe)-NH2@MIP nanozymes for rapid, portable, low-cost on-site detection of CAP. Successful spike recovery experiments conducted in fresh milk samples further validate the potential practical application of our proposed dual-mode strategy. Thus, this approach expands the applications of MOFs-based nanozymes and holds promise for antibiotic determination.
期刊介绍:
Food Chemistry: X, one of three Open Access companion journals to Food Chemistry, follows the same aims, scope, and peer-review process. It focuses on papers advancing food and biochemistry or analytical methods, prioritizing research novelty. Manuscript evaluation considers novelty, scientific rigor, field advancement, and reader interest. Excluded are studies on food molecular sciences or disease cure/prevention. Topics include food component chemistry, bioactives, processing effects, additives, contaminants, and analytical methods. The journal welcome Analytical Papers addressing food microbiology, sensory aspects, and more, emphasizing new methods with robust validation and applicability to diverse foods or regions.