Antibiotic resistance has emerged in recent years, posing a threat to human health and the environment. There is promising evidence that Fe3O4 nanomaterials can act as catalysts for the breakdown of antibiotics in aqueous systems. Herein, Fe3O4 was synthesized using a hydrothermal technique, and its potential as a catalyst for tetracycline (TC) degradation in the persulfate (PS) system was explored

Developing accurate kinetic models to predict cracking processes is essential for enhancing production quality and efficiency. Establishing a comprehensive free radical network that precisely predicts the product distribution in the cracking processes of all light hydrocarbons presents significant challenges. This study introduces a reaction network initiated from four individual hydrocarbons using

In this paper, A dual-mode network(CAT-MPNN), which could extract features from molecular graphs and textual information simultaneously, is developed to predict the density of Deep Eutectic Solvents (DESs) for the first time. Deep learnings have been applied to predict the density of DESs. However, a comprehensive collection of large-volume datasets and a dual-mode network capable of processing both

In this work, a numerical investigation of the interaction of two similar sized bubbles near the wall was carried out based on the compressible Volume of Fluid method. The numerical accuracy was confirmed by conducting the independence study of computational domain and mesh resolution, and also validated by single and two bubbles experiment results. After investigating the main collapsing characteristics

Evolution and breakup of a tiny viscoelastic tracer droplet conveyed by another viscoelastic matrix fluid in a novel dual-speed, co-rotating, non-twin screw extruder with intermeshed multi-perturbation rings was studied to demonstrate the complex flow behavior and improved dispersive mixing. The visualization experiment was performed to reveal the conveying and breakup mechanisms using an aqueous solution

Energy efficient solvent was formulated from 2-amino-2-methyl-1-propanol (AMP), piperazine (PZ), and triethanolamine (TEA). Since AMP and PZ can precipitate, ternary blend was explored at unloaded and rich CO2 loading (0.6 mol CO2/mol amine). Either too low TEA concentration, too low PZ/AMP molar ratio, or an increase total amine concentration from 5.0 to 5.5 or 6.0 M induced the precipitation at rich

Pyrolytic coking of endothermic hydrocarbon fuel (EHFs) is a critical issue for the regenerative cooling channels of advanced engines. This work focuses on the development and evaluation of bifunctional CeO2/Al2O3 coatings for coke inhibition and catalytic removal from the inner surfaces of GH3128 alloy tubes. The CeO2/Al2O3 coating prepared by in-situ grown strategy presents superior bonding strength

The mechanism of HCN formation during NO reduction by biomass-char was studied through experiments and density functional theory (DFT) calculations. Experiments in CO2/H2O atmospheres showed that H2O significantly increased HCN production, while CO2 had minimal impact·H2O created a “hydrogen-rich” environment essential for HCN formation, and higher temperatures and NO concentrations further promoted

The operation and effectiveness of continuous crystallizers are often hindered by clogging and encrustation. This becomes particularly important for crystallizers without any moving parts – such as fluidic oscillators (FO), helical coils (HC). In this work, we have investigated the occurrence of clogging and encrustation phenomena during the anti-solvent crystallization of paracetamol with a FO and

Renewable energy-driven electrocatalytic CO2 reduction reaction (ECO2RR) provides a sustainable technical solution to solve increasingly severe environmental and energy problems. Focusing on improving the intrinsic activity of Cu-based catalysts for CO2 methanation, two kinds of CeO2 with different crystal face exposures are successfully constructed and used as substrates to load Cu sites (Cu-CeO2)

Constructing first principles models is a challenging task for nonlinear and complex systems such as a wastewater treatment unit. In recent years, data-driven models are widely used to overcome the complexity. However, they often suffer from issues such as missing, low quality or noisy data. Transfer learning is a solution for this issue where knowledge from another task is transferred to target one

The study about regulation mechanism on the microstructure of Ni-rich precursors still lags behind, and its influencing mechanism on the electrochemical performance for the cathode materials is still unclear. Herein, the batch coprecipitation method was used to control the sulfate supply flow to prepare precursors with different surface primary particle morphologies and internal pores. It was found

Textile effluent is a highly toxic wastewater that resists conventional treatments, requiring advanced technologies for the effective removal of pollutants. A promising solution involves combining processes like coagulation-flocculation and hydrodynamic cavitation with ozone. Coagulation-flocculation, a low-cost method, enhances the effectiveness of subsequent treatments. Hydrodynamic cavitation paired

The present study offers a predictive correlation for oxygen transfer based on the exhaustive analysis of more than 300 isolated gas bubbles and the examination of interfacial colonization phenomena occurring in the presence of surfactants. The correlation is formulated by accounting for two key aspects: the hydrodynamic influence exerted by surfactants on mass transfer and the physico-chemical hindrance

Slag fluidity directly affects the stable operation of gasification equipment, while charge compensation of alkaline oxides can unexpectedly increase slag viscosity by changing the network structure, leading to equipment maintenance or production interruption due to slagging problems. In this study, the effect of K2O and Na2O charge compensation on the structure of SiO2-Al2O3-CaO-Na2O-K2O slag at 1773 K

This study presents numerical simulations of liquid–gas crossflow under an electric field, focusing on the effects of liquid viscosity and electric field strength on flow and breakup behavior. In this study, the Volume of Fluid (VOF) method was employed to simulate the liquid–gas crossflow behavior under an electric field. A three-dimensional evaluation was performed using image analysis. Without an

The biphasic absorbent is considered one of the best substitutes for amine solutions because of its great potential to save energy consumption. However, high viscosity and poor CO2 capture capacity of biphasic solvents have emerged as major obstacles to their commercial use. In this work, a strategy to lower the viscosity of the CO2-rich phase was proposed. Based on this strategy, a promising biphasic

Antibubble, because of their unique flow and mass transfer characteristics, exhibit vast application potential in various fields such as microfluidic control, drug delivery, and ultrasonic imaging. To further investigate these characteristics, accurate characterization of the parameters of antibubbles becomes particularly important. However, deep learning-based image processing techniques specifically

In risers, important catalytic processes occur which benefit from the intensive heat and mass transfer in this type of reactor. Typically the reactants are introduced in the liquid phase in the form of small droplets which rapidly evaporate. In this work the effect of this evaporation on the heat and mass transfer is studied using a computational fluid dynamics-discrete element method approach, treating

Currently, carbon dioxide reduction (CO2RR) can convert CO2 into many high-value hydrocarbon chemicals via electrochemical processes, contributing to achieving energy conservation and emission reduction. Importantly, this method also guides the electrocatalytic synthesis of organonitrogen chemicals via C–C and C–N coupling, such as acetamide synthesis during the coelectroreduction of CO2 and N2. Herein

It is extremely important to realize the separation of dyes and salts in textile wastewater. The nanofiltration membranes with high hydrophilic surface and loose structure are the best choice for efficient dye/salt separation. Herein, the ultrafiltration substrate membrane is firstly prepared employing polyimides as raw material and nanodiamonds grafted by polyethyleneimine as additive. Then tannic

Continuous flow micro-reactors have been increasingly used for kinetic studies as they possess superior heat and mass transfer properties and consume fewer reagents than conventional reactor systems. Integration of process analytical tools such as inline spectrometers with these reactors can provide real-time information about the reaction system. Although calibration-based methods are generally used

Environmentally friendly and sustainable alternatives to chromium-based inhibitors for metals are still limited in the industrial sector. In this study, galvanized steel was immersed in ethanol solutions containing stearic acid (SA), with and without aluminum nitrate (Al(NO3)3), to investigate the synergistic effects of aluminum salts in forming an organic–inorganic composite coating. The underlying

Two types of iterative learning controllers for batch processes are presented in this paper. The controllers not only contain a feedforward term, but also incorporate a feedback term and a difference term. First, vector lifting technology is employed to describe all the inputs or outputs of a single batch. Second, we utilize matrix inversion and exponentiation operations to obtain the sufficient condition

Selective flotation of lead–zinc ores is a process with many variables and a delicate balance of external (such as temperature) and internal factors (reagent concentrations, surface alterations). The purpose of this study is to explore flotation selectivity issues arising from changes in flotation pulp temperature. A deeper understanding of these issues can help to clarify industrial scale flotation

Chemical industrial reactions are generally engineered for the achievement of enhanced efficiency, which is critical for the requirement of sustainability. Conventional large-scale batch reactors encounter constraints in thermal and mass transport which result in a diminution of energy conversion efficiency. As a promising technology, continuous flow reaction is characterized by the enhancement of

The strategy of process decoupling of nucleation and crystal growth to produce non-agglomerated inorganic crystals with narrow size distributions in heavily agglomerated inorganic systems has not been realized. Multi-stage cascade batch reactive-heating crystallization is a novel method, first developed in this work, which aims to decouple nucleation and crystal growth for production of non-agglomerated

Cooling and antisolvent crystallization are of great importance in crystallization engineering for separation, purification, and particle preparation. Combined cooling and antisolvent crystallization (CCAC) can simultaneously enhance the yield and process efficiency, which necessarily requires an accurate regulation strategy. Herein, a membrane-assisted combined cooling and antisolvent crystallization

It is extremely desirable to develop efficient sulfur reduction reaction (SRR) electrocatalysts for lithium-sulfur (Li–S) batteries. In this work, a small intestinal structure sulfur electrocatalyst, viz. Ni2P-CNTs@NHCF nanoreactor, is designed by a facile coaxial electrostatic spinning strategy. Experimental results and theoretical calculations indicate that the synergetic effect of Ni–S and Li–P

This study explored a nickel foam packing flow field as an Ultra-High-Rotational device through numerical simulations at speeds of 500 to 12,000 rpm. A 3D model was developed using X-ray computed tomography. Results indicated that the pressure drop in the packing flow field increased from 65 % to 95 % between 500 and 4000 rpm, stabilizing at higher speeds. Significant turbulence was identified, with

The utilization of T-junction microchannels with different lengths of branches is considered as the preferred method for asymmetric splitting to generate microdroplets with various sizes. In this study, a T-junction microfluidic chip with different-length branches is designed and an experimental platform is set up to visualize droplet asymmetric splitting in the chip, with a focus on elucidating microfluidic

Recent studies on anaerobic digestion (AD) off-gas valorization have explored ways to enhance biological methane production by enriching the digestate with carbon dioxide (CO2). This approach aims to increase AD profitability by biological conversion of CO2 to methane (CH4). However, existing research lacks consensus on the effectiveness of CO2 injection, with the underlying biological mechanisms remaining

Crystallization kinetics and thermodynamics are fundamental in the development of crystallization processes. This work systematically measured the kinetic parameters during cooling crystallization in pure and mixed solvent systems of L-carnitine (LC) by the using of process analysis technologies (PATs). Chord length distribution (CLD) of crystals in the system was collected using Focused Beam Reflectance

CO2 hydrate provides an important alternative solution for CO2 geological sequestration. However, fingering flow of liquid CO2 and hydrate membrane effect can severely restrict flowing CO2 conversion to hydrate. Here we report an enhanced CO2 hydrate sequestration method via CO2-H2O emulsion injection, and its effectiveness has been proven in a three-dimensional system. Compared to liquid injection

The impacts of citrate ester surfactants on the MMP, extraction and swelling behaviors between CO2 and oil were investigated to enhance shale oil recovery. Firstly, the dissolution behaviors of citrate ester in CO2 and the influence of citrate ester on the MMP between CO2 and oil were investigated by the phase-transition-point measurement. Then, the effects of citrate ester on the extraction and swelling