Source abstract
Abstract
Nondegradable heavy metals have caused great dangers to the environment and human health. Combining stimuli-responsive materials with conventional MOF-based adsorbents has been considered an effective method to generate intelligent adsorbents for superior control over the adsorption process. Herein, a smart MOF-based ratiometric fluorescent adsorbent was designed to accurately monitor the progression of the removal of copper ions with dual-emitting fluorescence signal. Unlike the traditional difunctional materials, this delicately designed platform overcomes the huge energy gap to achieve two functions simultaneously. This unconventional platform provides a reliable fluorescent response toward Cu2+ during the removing process, changing linearly related to the degree of the adsorption process, which holds extreme promise in effectively monitoring the adsorption process. The underlying relationship of the adsorption and fluorescence response process toward copper was investigated by density functional theory (DFT) calculations. In particular, because of the favorable ion binding affinity of ZIF-8 and self-calibrating effect of RhB, the as-prepared smart adsorbent demonstrates a superior adsorption performance of 608 mg g–1, broad response range (0.05–200 ppm, 2.07 × 10–7to 8.29 × 10–4 M), ultrahigh sensitivity (0.04 ppm, 1.91 × 10–7 M) toward Cu2+ and strong anti-interference ability. This smart adsorbent opens an intelligent pathway to promote substantial advancements in the fields of environmental monitoring and industrial waste management.
Source: openalex_inverted_index · Quality: baseline
Affiliations
College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
Qinghai Provincial Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, 23 Xinning Road, Xining, Qinghai 810008, P. R. China
Shaanxi Institute for Food and Drug Control, Xi’an 710065, China
Institute of Water-saving Agriculture in Arid Areas of China, Northwest A&F UniversityYangling 712100, Shaanxi, China
Funding
National Natural Science Foundation of China · the Shaanxi Provincial Science Fund for Distinguished Young Scholars · the Capacity Building Project of Engineering Research Center of Qinghai Province · the Development Project of Qinghai Provincial Key Laboratory