A novel BODIPY-derived colorimetric and ratiometric dual-mode fluorescent probe for highly sensitive and visual detection of sulfite in food and living organisms.
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引用次数: 0
Abstract
Sulfite, widely used as a food additive, performs indispensable functions in the field of food sterilization, bleaching, and antisepsis. However, the overuse of sulfite may destroy food nutrition and pose health risks to people. In this work, an innovative BODIPY-based fluorescent probe (BODIPY-DBC) was constructed for highly sensitive recognition of sulfite. The BODIPY-DBC probe possessed both colorimetric and ratiometric dual mode, a low detection limit (33.12 nM), high sensitivity, a wide pH usage range (5-12), a fast response time (2 min), and superior fluorescence imaging capability for detecting sulfite. The recognition mechanism was certificated by 1H NMR titration, HRMS analysis, and DFT calculation. The BODIPY-DBC probe was not only loaded on test strips for detecting sulfite conveniently with the naked eye, but also employed to detect sulfite content in real food samples to ensure food safety. Furthermore, it also achieved excellent performances for monitoring sulfite in dual-channel fluorescence imaging (HeLa cell and zebrafish).
期刊介绍:
Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.