Assessing Viscosity in Sustainable Deep Eutectic Solvents and Cosolvent Mixtures: An Artificial Neural Network-Based Molecular Approach.

Deep eutectic solvents (DESs) are gaining recognition as environmentally friendly solvent alternatives for diverse chemical processes. Yet, designing DESs tailored to specific applications is a resource-intensive task, which requires an accurate estimation of their physicochemical properties. Among them, viscosity is crucial, as it often dictates a DES's suitability as a solvent. In this study, an artificial neural network (ANN) is introduced to accurately describe the viscosity of DESs and their mixtures with cosolvents. The ANN utilizes molecular parameters derived from σ-profiles, computed using the conductor-like screening model for the real solvent segment activity coefficient (COSMO-SAC). The data set comprises 1891 experimental viscosity measurements for 48 DESs based on choline chloride, encompassing 279 different compositions, along with 1618 data points of DES mixtures with cosolvents as water, methanol, isopropanol, and dimethyl sulfoxide, covering a wide range of viscosity measurements from 0.3862 to 4722 mPa s. The optimal ANN structure for describing the logarithmic viscosity of DESs is configured as 9-19-16-1, achieving an overall average absolute relative deviation of 1.6031%. More importantly, the ANN shows a remarkable extrapolation capacity, as it is capable of predicting the viscosity of systems including solvents (ethanol) and hydrogen bond donors (2,3-butanediol) not considered in the training. The ANN model also demonstrates an extensive applicability domain, covering 94.17% of the entire database. These achievements represent a significant step forward in developing robust, open source, and highly accurate models for DESs using molecular descriptors.

Tween-80 on Water/Oil Interface: Structure and Interfacial Tension by Molecular Dynamics Simulations.

Surfactants are used in many fields of the chemical industry in a wide range of applications. Generally, surfactants on water/oil interfaces reduce interfacial tension, enabling the formation of emulsions or providing greater stability to the emulsion formed. Although molecular dynamics has been extensively used and has achieved remarkable success in describing thermodynamic and molecular properties of systems with surface-active compounds, the traditional molecular simulation force fields considerably constrain the system size and the time scale of simulations. Here, we propose a coarse-grained model of polysorbate 80, a nonionic surfactant commercially known as Tween-80. Based on the proposed coarse-grained model, we evaluate the influence of the more internal ethylene oxide chain on the properties of the water/Tween-80/decane system. We verify with the simulation results that the model can reproduce the expected decrease in interfacial tension as the surfactant quantity increases in the simulations. Furthermore, we observe changes in the surfactant orientation as their quantity in the interface increases, indicating a preferential orientation for these molecules in the adsorption layer. We also assessed the partition coefficient of the surfactant between the two bulk phases by performing free energy calculations, which showed a higher affinity of Tween-80 surfactants with the water phase.

Pollution caused by nanoplastics: adverse effects and mechanisms of interaction via molecular simulation.

The continuous increase in the production of synthetic plastics for decades and the inadequate disposal of plastic waste have resulted in a considerable increase of these materials in aquatic environments, which has developed into a major environmental concern. In addition to conventional parameters, the relevance of the environmental monitoring of microplastics (MPs) and nanoplastics (NPs) has been highlighted by the scientific community due to the potential adverse effects these materials pose to the ecosystem as well as to human health. The literature has registered an increasing interest in understanding the mechanisms, at the molecular level, of the interaction between NPs and other compounds using molecular simulation techniques. The present review aims to: (i) summarize the force fields conventionally used to describe NPs by molecular simulations; (ii) discuss the effects of NPs in the structural and dynamical properties of biological membranes; (iii) evaluate how NPs affect the folding of proteins; (iv) discuss the mechanisms by which NPs adsorb contaminants from the environment. NPs can affect the secondary structure of proteins and change the lateral organization and diffusion of lipid membranes. As a result, they may alter the lipid digestion in the gastrointestinal system representing a risk to the assimilation of the nutrients by humans. The adsorption of contaminants on MPs and NPs can potentiate their harmful effects on human health, due to a possible synergism. Therefore, understanding the mechanisms involved in these interactions is crucial to predict dangerous combinations and outline action strategies that reduce negative impacts on ecosystems and human health. Depending on the chemical properties of contaminants and NPs, electrostatic and/or van der Waals interactions can be more relevant in explaining the adsorption process. Finally, we conclude by highlighting gaps in the literature and the critical aspects for future investigations.

Adsorption of praziquantel enantiomers on chiral cellulose tris 3-chloro, 4-methylphenylcarbamate by frontal analysis: Fisherian and Bayesian parameter estimation and inference.

Praziquantel (PZQ) is an anthelmintic chiral pharmaceutical utilized in schistosomiasis treatment, commonly sold as a racemate, whose primary active molecule is the enantiomer L-(-)-PZQ. The development of new pharmaceutical formulations contenting L-(-)-PZQ has mobilized worldwide efforts from the academy and private companies. Several processes have been proposed to produce pure L-(-)-PZQ, including racemate resolution by preparative chromatography. The design of complex chromatographic processes such as SMB requires accurate information about the adsorption isotherm models and other system parameters and well-quantified uncertainties. We obtained the adsorption isotherms of both PZQ enantiomers using the Frontal Analysis (FA) technique. The associated uncertainties and model confidence bands were calculated from Fisherian and Bayesian approaches. Parameter uncertainties from both methods presented reasonable agreement. Bayesian inference allowed calculating conservative confidence intervals for the parameters, the isotherm curves and the experimental profiles related to FA. Predicted confidence intervals varied from 5.6% to 14% for parameters, 3.9% to 7.1% for the isotherms and 2.02% to 2.22% for the concentration on FA profiles. The estimated nuisance factor agreed with the experimental relative standard deviation and could be applied to predict experimental variances when the same is absent.

Sixty Years of the van der Waals and Platteeuw Model for Clathrate Hydrates-A Critical Review from Its Statistical Thermodynamic Basis to Its Extensions and Applications.

In light of the 60-year anniversary of the publishing of "Clathrate Solutions" by van der Waals and Platteeuw in 2019, we present a critical review of the famed solid solution model first disclosed in 1959. First, we lay out the groundwork in the 1950s aimed at the development of a phenomenological approach to clathrate modeling. Then we review the statistical thermodynamics fundamentals of the model, considering van der Waals and Platteeuw's earlier works, to obtain a consistent interpretation of the model. We turn our focus to clathrate hydrates and discuss the major contributions that led to the current state-of-the-art of gas hydrate thermodynamic modeling. Finally, we present some of the areas in clathrate thermodynamics that we foresee as the new frontiers in this subject. We expect this review to help newcomers to clathrate science in elucidating some subtle aspects of the model and to intrigue clathrate experts with a fresh look on this well-established solid solution model.

A modified Poisson-Boltzmann equation applied to protein adsorption.

Ion-exchange chromatography has been widely used as a standard process in purification and analysis of protein, based on the electrostatic interaction between the protein and the stationary phase. Through the years, several approaches are used to improve the thermodynamic description of colloidal particle-surface interaction systems, however there are still a lot of gaps specifically when describing the behavior of protein adsorption. Here, we present an improved methodology for predicting the adsorption equilibrium constant by solving the modified Poisson-Boltzmann (PB) equation in bispherical coordinates. By including dispersion interactions between ions and protein, and between ions and surface, the modified PB equation used can describe the Hofmeister effects. We solve the modified Poisson-Boltzmann equation to calculate the protein-surface potential of mean force, treated as spherical colloid-plate system, as a function of process variables. From the potential of mean force, the Henry constants of adsorption, for different proteins and surfaces, are calculated as a function of pH, salt concentration, salt type, and temperature. The obtained Henry constants are compared with experimental data for several isotherms showing excellent agreement. We have also performed a sensitivity analysis to verify the behavior of different kind of salts and the Hofmeister effects.