Preparation of multivariate zirconia metal-organic frameworks for highly efficient adsorption of endocrine disrupting compounds

Owing to their structural and functional tunability, the preparation of multivariate metal-organic frameworks (MTV-MOFs) and investigation of their potential application has become a hot topic in fields of environment and energy. To achieve more adsorption and removal performance, a series of multivariate Zr-MOFs (TCPP@MOF808s) were prepared via mixed-ligands strategy for the first time. The morphology, as well as adsorption and removal properties of TCPP@MOF-808s can be controlled by adjusting ratio of the linkers. 57%TCPP@MOF-808 could provide ideal appearance with excellent stability. By using 57%TCPP@MOF-808 as sorbent, a dispersive solid-phase extraction (dSPE) was developed for extraction of endocrine disrupting compounds (EDCs) including BPA, 17 beta-E2, 17 alpha-E2, E1, and HEX from environmental water prior to HPLC analysis. The pseudo-second-order model can describe the adsorption kinetic data well. Using Langmuir isotherm model, the maximum adsorption capacities of BPA, 17 beta-E2, 17 alpha-E2, and E1 were calculated as 94.34, 104.17, 109.89, and 121.95 mg.g 1, respectively. The LODs for the analysis of EDCs with HPLC-DAD by using 57%TCPP@MOF-808 as sorbent were achieved in the range of 0.01-0.03 ng.mL- 1. The recoveries were obtained in the range of 74.63-98.00%. Enrichment factors were calculated in the range of 146-312. This work provides an effective strategy for design and preparation of multifunctional nanomaterials to improve their potential applications in the detection of environmental pollutants.

Automated summary

The preparation of multivariate Zr-MOFs via mixed-ligands strategy allows for the control of morphology, adsorption, and removal properties, with 57%TCPP@MOF-808 showing excellent stability and high adsorption capacity for endocrine disrupting compounds. The use of 57%TCPP@MOF-808 as sorbent in dispersive solid-phase extraction led to successful extraction of EDCs with high recoveries and enrichment factors, demonstrating its potential in environmental pollutant detection.