Metal organic frameworks (MOFs) adsorbents have significant advantages to remove contaminates. While their microporous structure is not conducive to entry of larger molecules, making it difficult to simultaneously utilize the inner and outer surfaces of the pores to achieve higher adsorption capacity. In this work, the hexadecyltrimethylammonium bromide was employed as soft template to prepare a novel hierarchical porous ZIF-8 (HP-ZIF-8) in water. The result showed that the developed HP-ZIF-8 has both microporous (0.59 nm) and mesoporous structures (35.59 nm), which is 33 times larger than that of initial ZIF-8 (1.08 nm). Mesoporous HP-ZIF-8 enhances adsorption, enabling simultaneous capture of diclofenac sodium (DFS), flunixin meglumine (FM), and meloxicam (ME). The adsorption process for DFS, FM, and ME was agreement with the Langmuir model, and maximum adsorption capacities were 119.33, 162.87, and 40.45 mg g, respectively. Moreover, the mesopores effectively enhance mass transfer rate, and the adsorption equilibrium can be reached within 10 min. Mechanistic analysis revealed that DFS, FM, and ME adsorption onto HP-ZIF-8 was driven by hydrogen bonding, π-π stacking, electrostatic and metal coordination interactions, alongside mesoporous structure-induced physical adsorption. Furthermore, HP-ZIF-8 was successfully applied in the removal of these pharmaceutical compounds from five different real water samples and three food matrices, achieving recoveries between 84.54% and 106.59%, with relative standard deviations below 4.05%. This work provides a simple and feasible method to improve the adsorption performance of MOFs, making them efficiently adsorbing and removing pollutants from the environment.
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http://dx.doi.org/10.1016/j.envres.2025.121078 | DOI Listing |
Eval Program Plann
March 2025
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan. Electronic address:
Smart Villages are an innovative solution for tackling global sustainability per the sustainable development goals set by the United Nations. This particular study looks into the implementation of a similar Smart Village concept in developing countries such as Pakistan. The main focus is to identify and classify a set of barriers that are to be considered while constructing a smart village.
View Article and Find Full Text PDFAdv Mater
March 2025
PCFM Lab, School of Chemistry, Sun Yat-sen University, Guangzhou, 510006, P. R. China.
Exudate management and cell activity enhancement are vital to complicated wound healing. However, current exudate management dressings indiscriminately remove exudate, which is detrimental to cell activity enhancement. Herein, a novel class of electroactive bilayer (cMO/PVA) dressing is developed by constructing manganese oxide nanoneedle-clusters decorated commercial carbon cloth (MO), in situ casting polyvinyl alcohol (PVA) hydrogel, and finally charging.
View Article and Find Full Text PDFThis study presents a novel deep learning approach for surface electromyography (sEMG) gesture recognition using stacked autoencoder neural network (SAE)s. The method leverages hierarchical representation learning to extract meaningful features from raw sEMG signals, enhancing the precision and robustness of gesture classification.•Feature Extraction and Classification MODWT Decomposition: The sEMG signals were decomposed using the MODWT DECOMPOSITION(Maximal Overlap Discrete Wavelet Transform) to capture various frequency components.
View Article and Find Full Text PDFFront Neurosci
February 2025
Department of Electrical and Computer Engineering (ECE), Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States.
Miniature robots are useful during disaster response and accessing remote or unsafe areas. They need to navigate uneven terrains without supervision and under severe resource constraints such as limited compute, storage and power budget. Event-based sensorimotor control in edge robotics has potential to enable fully autonomous and adaptive robot navigation systems capable of responding to environmental fluctuations by learning new types of motion and real-time decision making to avoid obstacles.
View Article and Find Full Text PDFFront Public Health
March 2025
Independent Researcher, Windermere, FL, United States.
Purpose: Adolescents are experiencing rising rates of obesity, insufficient exercise, and sleep disorders. To provide a scientific basis for policymakers to develop targeted and evidence-based health behavior education and policies, this study employed structural equation modeling to design the Adolescent Health Behavior Checklist (AHBC).
Methods: We designed a draft 6-dimensional AHBC, which includes the dimensions of exercise, diet, personal responsibility, sleep, interpersonal relationships, and stress management.
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