Food and environmental safety monitoring platform based on Tb(III) functionalized HOF hybrids for ultrafast detection of thiabendazole and 2-chlorophenol.

Development of efficient and intelligent method for detecting harmful agrochemicals in resource-limited settings remains an urgent need to ensure food and environmental safety. Herein, a novel dual-emitting Tb3+-modified hydrogen-bonded organic framework (Tb@TBTC, TBTC is the ligand of HOF-TBTC.) with visible green fluorescence has been prepared through coordination post-synthetic modification. Tb@TBTC can be designed as a fluorescence sensor for the identification of two harmful carcinogenic pesticides, thiabendazole (TBZ) and 2-chlorophenol (2-CP) with high sensitivity, high efficiency and excellent selectivity. Tb@TBTC can also adsorb 2-CP with high adsorption rate. In realistic fruit juice and river water samples, the detection limits of Tb@TBTC toward TBZ and 2-CP are as low as 2.73 μM and 2.18 μM, respectively, demonstrating the feasibility in practical application. Furthermore, an intelligent real-time and on-site monitoring platform for 2-CP detection is constructed based on Tb@TBTC-agarose hydrogel films with the assistance of back propagation neural network, which can efficiently and accurately determine the concentration of 2-CP from fluorescence images through human-machine interaction. This work presents a facile pathway to prepare Tb@HOF fluorescent sensor for food and ecological environment safety, which is highly promising for preventing human disease and improving global public health. A Tb@HOF sensor can realize real-time monitoring of TBZ and 2-CP simultaneously with high sensitivity, high efficiency and excellent selectivity combined with BPNN, and can also adsorb 2-CP with high adsorption rate, which displays a promising prospect in monitoring food and environmental safety, and ensuring public health. [Display omitted] • An emerging crystalline luminescent material Tb@TBTC with bright green fluorescence. • Detection of two carcinogenic pesticides, thiabendazole and 2-chlorophenol. • Adsorbing 2-chlorophenol with high adsorption rate. • Back propagation neural network (BPNN) model of machine learning for application. • Tb@TBTC-AG hydrogel films as an intelligent analysis platform. [ABSTRACT FROM AUTHOR]