Experimental and theoretical study of the physicochemical properties of the novel imidazole-based eutectic solvent.

Novel solvents and their applications are experiencing an increasing interest by the scientific community. Imidazole has been utilized as a major component in many successful ionic liquids. However, very limited studies were reported for using it as a hydrogen bond acceptor in the synthesis of eutectic solvents.

Ionic liquids and deep eutectic solvents for the recovery of phenolic compounds: effect of ionic liquids structure and process parameters.

Water pollution is a severe and challenging issue threatening the sustainable development of human civilization. Besides other pollutants, waste fluid streams contain phenolic compounds. These have an adverse effect on the human health and marine ecosystem due to their toxic, mutagenic, and carcinogenic nature.

Thermal Conductivities of Choline Chloride-Based Deep Eutectic Solvents and Their Mixtures with Water: Measurement and Estimation.

The thermal conductivities of selected deep eutectic solvents (DESs) were determined using the modified transient plane source (MTPS) method over the temperature range from 295 K to 363 K at atmospheric pressure. The results were found to range from 0.198 W·m·K to 0.

Superhydrophobic nanocarbon-based membrane with antibacterial characteristics.

To overcome the biofouling challenge which faces membrane water treatment processed, the novel superhydrophobic carbon nanomaterials impregnated on/powder activated carbon (CNMs/PAC) was utilized to successfully design prepare an antimicrobial membrane. The research was conducted following a systematic statistical design of experiments technique considering various parameters of composite membrane fabrication. The impact of these parameters of composite membrane on Staphylococcus aureus growth was investigated.

Intermolecular interactions and solvation effects of dimethylsulfoxide on type III deep eutectic solvents.

Reline, a typical type III Deep Eutectic Solvent (DES), composed of urea and choline chloride, is widely used and highly investigated for its thermo-physical properties and intermolecular interactions. The formation of hydrogen bonds between urea and chloride ions and a strong suppression in the hydrogen bonds between the urea molecules lead to a significantly low melting point of reline. Considering commercial applications, aqueous solutions of reline have been extensively analyzed; however, water, being a protic solvent, strongly affects the hydrogen bond network in reline and disrupts its structure.

Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology.

Biochemical oxygen demand (BOD), chemical oxygen demand (COD), total dissolved solids (TDS) and total suspended solids (TSS) are the most commonly regulated wastewater effluent parameters. The measurement and prediction of these parameters are essential for assessing the performance and upgrade of wastewater treatment facilities. In this study, a new methodology, combining a linear stochastic model (ARIMA) and nonlinear outlier robust extreme learning machine technique (ORELM) with various preprocesses, is presented to model the quality parameters of effluent wastewater (ARIMA-ORELM).

The Effect of Temperature on Kinetics and Diffusion Coefficients of Metallocene Derivatives in Polyol-Based Deep Eutectic Solvents.

The temperature dependence of the density, dynamic viscosity and ionic conductivity of several deep eutectic solvents (DESs) containing ammonium-based salts and hydrogen bond donvnors (polyol type) are investigated. The temperature-dependent electrolyte viscosity as a function of molar conductivity is correlated by means of Walden's rule. The oxidation of ferrocene (Fc/Fc+) and reduction of cobaltocenium (Cc+/Cc) at different temperatures are studied by cyclic voltammetry and potential-step chronoamperometry in DESs.

Effect of water on the thermo-physical properties of Reline: An experimental and molecular simulation based approach.

Increasing applications of ionic liquids and their analogues, namely Deep Eutectic Solvents (DESs), requires further investigation into the effect of moisture content on the physico-chemical characteristics of these fluids. Although it is common practice to synthesize these fluids in a moisture-controlled environment, as moisture is generally considered to have an impact on their properties, there are no systematic studies on this. We herein examine the effects of water on Reline, a Type-III DES composed of urea and choline chloride.

The electrochemical behaviour of ferrocene in deep eutectic solvents based on quaternary ammonium and phosphonium salts.

The electrochemical behaviour of ferrocene (Fc) is investigated in six different deep eutectic solvents (DESs) formed by means of hydrogen bonding between selected ammonium and phosphonium salts with glycerol and ethylene glycol. Combinations of cyclic voltammetry and chronoamperometry are employed to characterise the DESs. The reductive and oxidative potential limits are reported versus the Fc/Fc(+) couple.

Ethanesulfonic acid-based esterification of industrial acidic crude palm oil for biodiesel production.

An industrial grade acidic crude palm oil (ACPO) pre-treatment process was carried out using ethanesulfonic acid (ESA) as a catalyst in the esterification reaction. ESA was used in different dosages to reduce free fatty acid (FFA) to a minimum level for the second stage of biodiesel production via alkaline transesterification reaction. Different process operating conditions were optimized such as ESA dosage (0.

Using artificial neural networks and model predictive control to optimize acoustically assisted Doxorubicin release from polymeric micelles.

We have been developing a drug delivery system that uses Pluronic P105 micelles to sequester a chemotherapeutic drug--namely, Doxorubicin (Dox)--until it reaches the cancer site. Ultrasound is then applied to release the drug directly to the tumor and in the process minimize the adverse side effects of chemotherapy on non-tumor tissues. Here, we present an artificial neural network (ANN) model that attempts to model the dynamic release of Dox from P105 micelles under different ultrasonic power intensities at two frequencies.

Modeling and sensitivity analysis of acoustic release of Doxorubicin from unstabilized pluronic P105 using an artificial neural network model.

This paper models steady state acoustic release of Doxorubicin (Dox) from Pluronic P105 micelles using Artificial Neural Networks (ANN). Previously collected release data were compiled and used to train, validate, and test an ANN model. Sensitivity analysis was then performed on the following operating conditions: ultrasonic frequency, power density, Pluronic P105 concentration, and temperature.

Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance.

A reliable model for any wastewater treatment plant is essential in order to provide a tool for predicting its performance and to form a basis for controlling the operation of the process. This would minimize the operation costs and assess the stability of environmental balance. This process is complex and attains a high degree of nonlinearity due to the presence of bio-organic constituents that are difficult to model using mechanistic approaches.